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A

accuracy(int) - Method in class hex.tree.drf.TreeMeasuresCollector.TreeMeasures
Returns a list of accuracies per tree.
accuracy() - Method in class hex.tree.drf.TreeMeasuresCollector.TreeMeasures
 
accuracy(int) - Method in class hex.tree.drf.TreeMeasuresCollector.TreeSSE
 
accuracy(int) - Method in class hex.tree.drf.TreeMeasuresCollector.TreeVotes
Returns accuracy per individual trees.
activation - Variable in class hex.schemas.DeepLearningV3.DeepLearningParametersV3
The activation function (non-linearity) to be used by the neurons in the hidden layers.
activation - Variable in class hex.schemas.DeepWaterV3.DeepWaterParametersV3
The activation function (non-linearity) to be used by the neurons in the hidden layers.
activeBC() - Method in class hex.glm.ComputationState
 
activeCols() - Method in class hex.DataInfo
 
activeColumns(DHistogram[]) - Static method in class hex.tree.DHistogram
 
activeData() - Method in class hex.glm.ComputationState
 
activeDataMultinomial() - Method in class hex.glm.ComputationState
 
activeDataMultinomial(int) - Method in class hex.glm.ComputationState
 
actual_best_model_key - Variable in class hex.deeplearning.DeepLearningModel
 
actual_mtries() - Method in class hex.tree.DTree
 
actual_train_samples_per_iteration - Variable in class hex.deeplearning.DeepLearningModel
 
adaptive_rate - Variable in class hex.schemas.DeepLearningV3.DeepLearningParametersV3
The implemented adaptive learning rate algorithm (ADADELTA) automatically combines the benefits of learning rate annealing and momentum training to avoid slow convergence.
add(DeepLearningModelInfo) - Method in class hex.deeplearning.DeepLearningModelInfo
Add another model info into this This will add the weights/biases/learning rate helpers, and the number of processed training samples Note: It will NOT add the elastic averaging helpers, which are always kept constant (they already are the result of a reduction)
add(int, int, float) - Method in class hex.deeplearning.Storage.DenseColMatrix
 
add(int, int, float) - Method in class hex.deeplearning.Storage.DenseRowMatrix
 
add(int, double) - Method in class hex.deeplearning.Storage.DenseVector
 
add(int, int, float) - Method in interface hex.deeplearning.Storage.Matrix
 
add(int, int, float) - Method in class hex.deeplearning.Storage.SparseRowMatrix
 
add(int, int, int, float) - Method in interface hex.deeplearning.Storage.Tensor
 
add(int, double) - Method in interface hex.deeplearning.Storage.Vector
 
add(DeepWaterModelInfo) - Method in class hex.deepwater.DeepWaterModelInfo
 
add(double, double[], double, double) - Method in class hex.glm.GLMMetricBuilder
 
add(double, double, double, double) - Method in class hex.glm.GLMMetricBuilder
 
add(Gram) - Method in class hex.gram.Gram
 
add(DHistogram) - Method in class hex.tree.DHistogram
 
add_processed_global(long) - Method in class hex.deeplearning.DeepLearningModelInfo
 
add_processed_local(long) - Method in class hex.deeplearning.DeepLearningModelInfo
 
addCols(double[], int[], int[], ComputationState.GramXY, double[][], double[]) - Static method in class hex.glm.ComputationState.GramXY
 
addDiag(double[]) - Method in class hex.gram.Gram
 
addDiag(double) - Method in class hex.gram.Gram
 
addDiag(double, boolean) - Method in class hex.gram.Gram
 
addExemplar(Aggregator.Exemplar[], Aggregator.Exemplar) - Static method in class hex.aggregator.Aggregator.Exemplar
Add a new exemplar to the input array (doubling it if necessary)
addKTrees(DTree[]) - Method in class hex.tree.SharedTreeModel.SharedTreeOutput
 
addModelPredictionsToLevelOneFrame(Model, Frame, Frame) - Static method in class hex.ensemble.StackedEnsemble
 
addNasAtomic(double, double, double) - Method in class hex.tree.DHistogram
 
addNasPlain(double...) - Method in class hex.tree.DHistogram
 
addNum(int, double) - Method in class hex.DataInfo.Row
 
addOutput(String, Vec) - Method in class hex.DataInfo
 
addResponse(String[], Vec[]) - Method in class hex.DataInfo
 
addRow(DataInfo.Row, double) - Method in class hex.gram.Gram
 
addRowDense(DataInfo.Row, double) - Method in class hex.gram.Gram
 
addRowSparse(DataInfo.Row, double) - Method in class hex.gram.Gram
 
addSubmodel(GLMModel.Submodel) - Method in class hex.glm.GLMModel
 
addToArray(double, double[]) - Method in class hex.DataInfo.Row
 
addWAtomic(int, double) - Method in class hex.tree.DHistogram
 
adjustGradient(double[], double[]) - Method in class hex.glm.GLM.BetaConstraint
 
ADMM - Class in hex.optimization
Created by tomasnykodym on 3/2/15.
ADMM() - Constructor for class hex.optimization.ADMM
 
ADMM.L1Solver - Class in hex.optimization
 
ADMM.ProximalSolver - Interface in hex.optimization
 
aggregate_method - Variable in class hex.schemas.Word2VecTransformV3
 
Aggregator - Class in hex.aggregator
 
Aggregator(AggregatorModel.AggregatorParameters) - Constructor for class hex.aggregator.Aggregator
 
Aggregator(boolean) - Constructor for class hex.aggregator.Aggregator
 
Aggregator.Exemplar - Class in hex.aggregator
 
AggregatorModel - Class in hex.aggregator
 
AggregatorModel(Key, AggregatorModel.AggregatorParameters, AggregatorModel.AggregatorOutput) - Constructor for class hex.aggregator.AggregatorModel
 
AggregatorModel.AggregatorOutput - Class in hex.aggregator
 
AggregatorModel.AggregatorParameters - Class in hex.aggregator
 
AggregatorModelMetrics(int) - Constructor for class hex.aggregator.ModelMetricsAggregator.AggregatorModelMetrics
 
AggregatorModelOutputV99() - Constructor for class hex.schemas.AggregatorModelV99.AggregatorModelOutputV99
 
AggregatorModelV99 - Class in hex.schemas
 
AggregatorModelV99() - Constructor for class hex.schemas.AggregatorModelV99
 
AggregatorModelV99.AggregatorModelOutputV99 - Class in hex.schemas
 
AggregatorOutput(Aggregator) - Constructor for class hex.aggregator.AggregatorModel.AggregatorOutput
 
AggregatorParameters() - Constructor for class hex.aggregator.AggregatorModel.AggregatorParameters
 
AggregatorParametersV99() - Constructor for class hex.schemas.AggregatorV99.AggregatorParametersV99
 
AggregatorV99 - Class in hex.schemas
 
AggregatorV99() - Constructor for class hex.schemas.AggregatorV99
 
AggregatorV99.AggregatorParametersV99 - Class in hex.schemas
 
algoName() - Method in class hex.aggregator.AggregatorModel.AggregatorParameters
 
algoName() - Method in class hex.coxph.CoxPHModel.CoxPHParameters
 
algoName() - Method in class hex.deeplearning.DeepLearningModel.DeepLearningParameters
 
algoName() - Method in class hex.deepwater.DeepWaterParameters
 
algoName() - Method in class hex.example.ExampleModel.ExampleParameters
 
algoName() - Method in class hex.glm.GLMModel.GLMParameters
 
algoName() - Method in class hex.glrm.GLRMModel.GLRMParameters
 
algoName() - Method in class hex.grep.GrepModel.GrepParameters
 
algoName() - Method in class hex.kmeans.KMeansModel.KMeansParameters
 
algoName() - Method in class hex.naivebayes.NaiveBayesModel.NaiveBayesParameters
 
algoName() - Method in class hex.pca.PCAModel.PCAParameters
 
algoName() - Method in class hex.StackedEnsembleModel.StackedEnsembleParameters
 
algoName() - Method in class hex.svd.SVDModel.SVDParameters
 
algoName() - Method in class hex.tree.drf.DRFModel.DRFParameters
 
algoName() - Method in class hex.tree.gbm.GBMModel.GBMParameters
 
algoName() - Method in class hex.word2vec.Word2VecModel.Word2VecParameters
 
alpha - Variable in class hex.schemas.GLMV3.GLMParametersV3
 
append(T) - Method in class hex.tree.drf.TreeMeasuresCollector.TreeMeasures
 
append(TreeMeasuresCollector.TreeSSE) - Method in class hex.tree.drf.TreeMeasuresCollector.TreeSSE
 
append(float, double) - Method in class hex.tree.drf.TreeMeasuresCollector.TreeSSE
Append a tree sse to a list of trees.
append(double, double) - Method in class hex.tree.drf.TreeMeasuresCollector.TreeVotes
Append a tree votes to a list of trees.
append(TreeMeasuresCollector.TreeVotes) - Method in class hex.tree.drf.TreeMeasuresCollector.TreeVotes
 
apply(Env, Env.StackHelp, AstRoot[]) - Method in class water.rapids.prims.word2vec.AstWord2VecToFrame
 
applyBounds(double, int) - Method in class hex.glm.GLM.BetaConstraint
 
applyStrongRules(double, double) - Method in class hex.glm.ComputationState
Apply strong rules to filter out expected inactive (with zero coefficient) predictors.
applyStrongRulesMultinomial(double, double) - Method in class hex.glm.ComputationState
Apply strong rules to filter out expected inactive (with zero coefficient) predictors.
applyStrongRulesMultinomial_old(double, double) - Method in class hex.glm.ComputationState
Apply strong rules to filter out expected inactive (with zero coefficient) predictors.
apriori - Variable in class hex.schemas.NaiveBayesModelV3.NaiveBayesModelOutputV3
 
archetypes - Variable in class hex.schemas.GLRMModelV3.GLRMModelOutputV3
 
args() - Method in class water.rapids.prims.word2vec.AstWord2VecToFrame
 
asSSE(TreeMeasuresCollector.TreeMeasures) - Static method in class hex.tree.drf.TreeMeasuresCollector
 
AstWord2VecToFrame - Class in water.rapids.prims.word2vec
Converts a word2vec model to a Frame
AstWord2VecToFrame() - Constructor for class water.rapids.prims.word2vec.AstWord2VecToFrame
 
asVotes(TreeMeasuresCollector.TreeMeasures) - Static method in class hex.tree.drf.TreeMeasuresCollector
 
autoencoder - Variable in class hex.schemas.DeepLearningV3.DeepLearningParametersV3
 
autoencoder - Variable in class hex.schemas.DeepWaterV3.DeepWaterParametersV3
 
autoEncoderGradient(int, int) - Method in class hex.deeplearning.Neurons
Helper to compute the reconstruction error for auto-encoders (part of the gradient computation)
average_activation - Variable in class hex.schemas.DeepLearningV3.DeepLearningParametersV3
 
avg_change_obj - Variable in class hex.schemas.GLRMModelV3.GLRMModelOutputV3
 

B

backend - Variable in class hex.schemas.DeepWaterV3.DeepWaterParametersV3
 
balance_classes - Variable in class hex.schemas.DeepLearningV3.DeepLearningParametersV3
For imbalanced data, balance training data class counts via over/under-sampling.
balance_classes - Variable in class hex.schemas.DeepWaterV3.DeepWaterParametersV3
For imbalanced data, balance training data class counts via over/under-sampling.
balance_classes - Variable in class hex.schemas.GLMV3.GLMParametersV3
For imbalanced data, balance training data class counts via over/under-sampling.
balance_classes - Variable in class hex.schemas.NaiveBayesV3.NaiveBayesParametersV3
For imbalanced data, balance training data class counts via over/under-sampling.
balance_classes - Variable in class hex.schemas.SharedTreeV3.SharedTreeParametersV3
For imbalanced data, balance training data class counts via over/under-sampling.
base_models - Variable in class hex.schemas.StackedEnsembleV99.StackedEnsembleParametersV99
 
basemodel_fold_assignment - Variable in class hex.StackedEnsembleModel
 
basemodel_fold_column - Variable in class hex.StackedEnsembleModel
 
basemodel_nfolds - Variable in class hex.StackedEnsembleModel
 
bestCol(DTree.UndecidedNode, DHistogram[]) - Method in class hex.tree.DTree.DecidedNode
 
bestSubmodel() - Method in class hex.glm.GLMModel.GLMOutput
 
beta() - Method in class hex.glm.ComputationState
 
beta() - Method in class hex.glm.GLMModel
 
beta(double) - Method in class hex.glm.GLMModel
 
beta() - Method in class hex.glm.GLMModel.GLMOutput
 
beta - Variable in class hex.glm.GLMModel.Submodel
 
beta - Variable in class hex.schemas.MakeGLMModelV3
 
beta_constraints - Variable in class hex.schemas.GLMV3.GLMParametersV3
 
beta_epsilon - Variable in class hex.schemas.GLMV3.GLMParametersV3
 
beta_internal() - Method in class hex.glm.GLMModel
 
beta_std(double) - Method in class hex.glm.GLMModel
 
BetaConstraint() - Constructor for class hex.glm.GLM.BetaConstraint
 
BetaConstraint(Frame) - Constructor for class hex.glm.GLM.BetaConstraint
 
betaMultinomial() - Method in class hex.glm.ComputationState
 
betaMultinomial(int, double[]) - Method in class hex.glm.ComputationState
 
bin(double) - Method in class hex.tree.DHistogram
 
bin() - Method in class hex.tree.DTree.Split
 
binAt(int) - Method in class hex.tree.DHistogram
 
binIds - Variable in class hex.DataInfo.Row
 
binomial_double_trees - Variable in class hex.schemas.DRFV3.DRFParametersV3
 
binomialOpt() - Method in class hex.tree.drf.DRFModel
 
binomialOpt() - Method in class hex.tree.SharedTreeModel
 
bins(int) - Method in class hex.tree.DHistogram
 
bits() - Method in class hex.deeplearning.Dropout
 
BMulInPlaceTask(DataInfo, double[][]) - Constructor for class hex.util.LinearAlgebraUtils.BMulInPlaceTask
 
BMulInPlaceTask(DataInfo, double[][], int) - Constructor for class hex.util.LinearAlgebraUtils.BMulInPlaceTask
 
BMulTask(Key<Job>, DataInfo, double[][]) - Constructor for class hex.util.LinearAlgebraUtils.BMulTask
 
bprop(int) - Method in class hex.deeplearning.Neurons
Back propagation of error terms stored in _e (for non-final layers)
bprop(int) - Method in class hex.deeplearning.Neurons.ExpRectifier
 
bprop(int) - Method in class hex.deeplearning.Neurons.Input
 
bprop(int) - Method in class hex.deeplearning.Neurons.Maxout
 
bprop(int) - Method in class hex.deeplearning.Neurons.Output
 
bprop(int) - Method in class hex.deeplearning.Neurons.Rectifier
 
bprop(int) - Method in class hex.deeplearning.Neurons.Tanh
 
bpropMiniBatch(Neurons[], int) - Static method in class hex.deeplearning.DeepLearningTask
Helper to apply back-propagation without clearing out the gradients afterwards Used for gradient checking
bpropOutputLayer(int) - Method in class hex.deeplearning.Neurons
Back-propagate gradient in output layer
build_tree_one_node - Variable in class hex.schemas.SharedTreeV3.SharedTreeParametersV3
 
builderVisibility() - Method in class hex.aggregator.Aggregator
 
builderVisibility() - Method in class hex.coxph.CoxPH
 
builderVisibility() - Method in class hex.deepwater.DeepWater
 
builderVisibility() - Method in class hex.ensemble.StackedEnsemble
 
builderVisibility() - Method in class hex.example.Example
 
builderVisibility() - Method in class hex.grep.Grep
 
builderVisibility() - Method in class hex.svd.SVD
 
builderVisibility() - Method in class hex.word2vec.Word2Vec
 
buildLayer(Frame, int, int, DTree[], int[], DHistogram[][][], boolean) - Method in class hex.tree.SharedTree
 
buildModel() - Method in class hex.deeplearning.DeepLearning.DeepLearningDriver
Train a Deep Learning model, assumes that all members are populated If checkpoint == null, then start training a new model, otherwise continue from a checkpoint
buildNextKTrees() - Method in class hex.tree.SharedTree.Driver
 
buildTable(String[], boolean) - Method in class hex.glrm.GLRM.Archetypes
 

C

cache_data - Variable in class hex.schemas.DeepWaterV3.DeepWaterParametersV3
 
calcCounts(CoxPHModel, CoxPH.CoxPHTask) - Method in class hex.coxph.CoxPH.CoxPHDriver
 
calcCumhaz_0(CoxPHModel, CoxPH.CoxPHTask) - Method in class hex.coxph.CoxPH.CoxPHDriver
 
calcLoglik(CoxPHModel, CoxPH.CoxPHTask) - Method in class hex.coxph.CoxPH.CoxPHDriver
 
calcModelStats(CoxPHModel, double[], double) - Method in class hex.coxph.CoxPH.CoxPHDriver
 
calcOutlierThreshold(Vec, double) - Method in class hex.deeplearning.DeepLearningModel
Compute quantile-based threshold (in reconstruction error) to find outliers
calib() - Method in class hex.tree.SharedTree
 
calib() - Method in class hex.tree.SharedTreeModel.SharedTreeParameters
 
calibrate_model - Variable in class hex.schemas.SharedTreeV3.SharedTreeParametersV3
 
calibration_frame - Variable in class hex.schemas.SharedTreeV3.SharedTreeParametersV3
 
can_build() - Method in class hex.aggregator.Aggregator
 
can_build() - Method in class hex.coxph.CoxPH
 
can_build() - Method in class hex.deeplearning.DeepLearning
Types of models we can build with DeepLearning
can_build() - Method in class hex.deepwater.DeepWater
Types of models we can build with DeepWater
can_build() - Method in class hex.ensemble.StackedEnsemble
 
can_build() - Method in class hex.example.Example
 
can_build() - Method in class hex.glm.GLM
 
can_build() - Method in class hex.glrm.GLRM
 
can_build() - Method in class hex.grep.Grep
 
can_build() - Method in class hex.kmeans.KMeans
 
can_build() - Method in class hex.naivebayes.NaiveBayes
 
can_build() - Method in class hex.pca.PCA
 
can_build() - Method in class hex.svd.SVD
 
can_build() - Method in class hex.tree.drf.DRF
 
can_build() - Method in class hex.tree.gbm.GBM
 
can_build() - Method in class hex.word2vec.Word2Vec
 
canonical() - Method in class hex.glm.GLMModel.GLMParameters
 
catcnt - Variable in class water.api.ModelMetricsGLRMV99
 
caterr - Variable in class water.api.ModelMetricsGLRMV99
 
catNAFill() - Method in class hex.DataInfo
 
catNAFill(int) - Method in class hex.DataInfo
 
centers - Variable in class hex.schemas.KMeansModelV3.KMeansModelOutputV3
 
centers_std - Variable in class hex.schemas.KMeansModelV3.KMeansModelOutputV3
 
channels - Variable in class hex.schemas.DeepWaterV3.DeepWaterParametersV3
 
check() - Method in class hex.glm.GLM.BetaConstraint
 
checkAndInheritModelProperties() - Method in class hex.StackedEnsembleModel
 
checkConsistency() - Method in class hex.aggregator.AggregatorModel
 
checkKKTs() - Method in class hex.glm.ComputationState
 
checkKKTsMultinomial() - Method in class hex.glm.ComputationState
 
checkMemoryFootPrint(DataInfo) - Method in class hex.glm.GLM
 
checkMemoryFootPrint_impl() - Method in class hex.deeplearning.DeepLearning
 
checkMemoryFootPrint_impl() - Method in class hex.glrm.GLRM
 
checkMemoryFootPrint_impl() - Method in class hex.kmeans.KMeans
 
checkMemoryFootPrint_impl() - Method in class hex.naivebayes.NaiveBayes
 
checkMemoryFootPrint_impl() - Method in class hex.pca.PCA
 
checkMemoryFootPrint_impl() - Method in class hex.svd.SVD
 
checkMemoryFootPrint_impl() - Method in class hex.tree.SharedTree
 
checksum_impl() - Method in class hex.DataInfo
 
checksum_impl() - Method in class hex.deeplearning.DeepLearningModel
 
checksum_impl() - Method in class hex.deeplearning.DeepLearningModelInfo
Unique identifier for this model's state, based on raw numbers
checksum_impl() - Method in class hex.deepwater.DeepWaterModel
 
checksum_impl() - Method in class hex.glm.GLMModel
 
checksum_impl() - Method in class hex.glm.GLMModel.GLMOutput
 
checksum_impl() - Method in class hex.tree.CompressedTree
 
chk_nids(Chunk[], int) - Method in class hex.tree.SharedTree
 
chk_offset(Chunk[]) - Method in class hex.tree.SharedTree
 
chk_oobt(Chunk[]) - Method in class hex.tree.SharedTree
 
chk_resp(Chunk[]) - Method in class hex.tree.SharedTree
 
chk_tree(Chunk[], int) - Method in class hex.tree.SharedTree
 
chk_weight(Chunk[]) - Method in class hex.tree.SharedTree
 
chk_work(Chunk[], int) - Method in class hex.tree.SharedTree
 
cholesky(Gram.Cholesky) - Method in class hex.gram.Gram
 
cholesky(Gram.Cholesky, boolean, String) - Method in class hex.gram.Gram
Compute the Cholesky decomposition.
Cholesky(double[][], double[]) - Constructor for class hex.gram.Gram.Cholesky
 
Cholesky(double[][], double[], boolean) - Constructor for class hex.gram.Gram.Cholesky
 
chunkDone(long) - Method in class hex.deeplearning.DeepLearningTask
After each chunk, add the number of processed rows to the counter
chunkDone(long) - Method in class hex.FrameTask
Override this to do post-chunk processing work.
chunkDone() - Method in class hex.FrameTask2
Perform action after processing one "chunk" of data/
chunkDone() - Method in class hex.glm.GLMTask.GLMIterationTask
 
chunkDone() - Method in class hex.gram.Gram.GramTask
 
chunkDone() - Method in class hex.gram.Gram.OuterGramTask
 
chunkInit() - Method in class hex.coxph.CoxPH.CoxPHTask
 
chunkInit() - Method in class hex.deeplearning.DeepLearningTask
 
chunkInit() - Method in class hex.FrameTask
Override this to initialize at the beginning of chunk processing.
chunkInit() - Method in class hex.FrameTask2
Initialization method, called once per "chunk".
chunkInit() - Method in class hex.glm.GLMTask.ComputeSETsk
 
chunkInit() - Method in class hex.glm.GLMTask.GLMIterationTask
 
chunkInit() - Method in class hex.glm.GLMTask.GLMIterationTaskMultinomial
 
chunkInit() - Method in class hex.glm.GLMTask.GLMMultinomialUpdate
 
chunkInit() - Method in class hex.glm.GLMTask.GLMMultinomialWLSTask
 
chunkInit() - Method in class hex.glm.GLMTask.GLMWLSTask
 
chunkInit() - Method in class hex.glm.GLMTask.LSTask
 
chunkInit() - Method in class hex.gram.Gram.GramTask
 
chunkInit() - Method in class hex.gram.Gram.OuterGramTask
 
cid - Variable in class hex.DataInfo.Row
 
class_sampling_factors - Variable in class hex.schemas.DeepLearningV3.DeepLearningParametersV3
Desired over/under-sampling ratios per class (lexicographic order).
class_sampling_factors - Variable in class hex.schemas.DeepWaterV3.DeepWaterParametersV3
Desired over/under-sampling ratios per class (lexicographic order).
class_sampling_factors - Variable in class hex.schemas.GLMV3.GLMParametersV3
Desired over/under-sampling ratios per class (lexicographic order).
class_sampling_factors - Variable in class hex.schemas.NaiveBayesV3.NaiveBayesParametersV3
Desired over/under-sampling ratios per class (lexicographic order).
class_sampling_factors - Variable in class hex.schemas.SharedTreeV3.SharedTreeParametersV3
Desired over/under-sampling ratios per class (lexicographic order).
classification_stop - Variable in class hex.schemas.DeepLearningV3.DeepLearningParametersV3
The stopping criteria in terms of classification error (1-accuracy) on the training data scoring dataset.
classification_stop - Variable in class hex.schemas.DeepWaterV3.DeepWaterParametersV3
The stopping criteria in terms of classification error (1-accuracy) on the training data scoring dataset.
classNames() - Method in class hex.glm.GLMModel.GLMOutput
 
classNames() - Method in class hex.tree.gbm.GBMModel.GBMOutput
 
clip_gradient - Variable in class hex.schemas.DeepWaterV3.DeepWaterParametersV3
 
clone2() - Method in class hex.glm.GLMModel
 
closeBigScorePredict() - Method in class hex.deepwater.DeepWaterModel
 
closeLocal() - Method in class hex.deeplearning.DeepLearningTask
After all maps are done on a node, this is called to store the per-node model into DKV (for elastic averaging) Otherwise, do nothing.
closeLocal() - Method in class hex.deepwater.DeepWaterTask
After all maps are done on a node, this is called to store the per-node model into DKV (for elastic averaging) Otherwise, do nothing.
closeLocal() - Method in class hex.FrameTask
 
ClusteringUtils - Class in hex.util
 
ClusteringUtils() - Constructor for class hex.util.ClusteringUtils
 
COD_solve(ComputationState.GramXY, double, double) - Method in class hex.glm.GLM
 
coefficient_names - Variable in class hex.schemas.GLMRegularizationPathV3
 
coefficientNames() - Method in class hex.glm.GLMModel.GLMOutput
 
coefficients() - Method in class hex.glm.GLMModel
get beta coefficients in a map indexed by name
coefficients - Variable in class hex.schemas.GLMRegularizationPathV3
 
coefficients_std - Variable in class hex.schemas.GLMRegularizationPathV3
 
coefNames() - Method in class hex.DataInfo
 
coefs - Variable in class hex.optimization.L_BFGS.Result
 
col() - Method in class hex.tree.DTree.Split
 
col_major - Variable in class hex.schemas.DeepLearningV3.DeepLearningParametersV3
 
col_sample_rate - Variable in class hex.schemas.GBMV3.GBMParametersV3
 
col_sample_rate_change_per_level - Variable in class hex.schemas.SharedTreeV3.SharedTreeParametersV3
 
col_sample_rate_per_tree - Variable in class hex.schemas.SharedTreeV3.SharedTreeParametersV3
 
CollinearColumnsException() - Constructor for exception hex.gram.Gram.CollinearColumnsException
 
CollinearColumnsException(String) - Constructor for exception hex.gram.Gram.CollinearColumnsException
 
cols() - Method in class hex.deeplearning.Storage.DenseColMatrix
 
cols() - Method in class hex.deeplearning.Storage.DenseRowMatrix
 
cols() - Method in interface hex.deeplearning.Storage.Matrix
 
cols() - Method in class hex.deeplearning.Storage.SparseRowMatrix
 
cols() - Method in interface hex.deeplearning.Storage.Tensor
 
compress(int, int, String[][]) - Method in class hex.tree.DTree
 
compress(AutoBuffer, AutoBuffer) - Method in class hex.tree.DTree.DecidedNode
 
compress(AutoBuffer, AutoBuffer) - Method in class hex.tree.DTree.LeafNode
 
compress(AutoBuffer, AutoBuffer) - Method in class hex.tree.DTree.Node
 
compress(AutoBuffer, AutoBuffer) - Method in class hex.tree.DTree.UndecidedNode
 
CompressedForest - Class in hex.tree
Collection of Compressed Trees contains: - keys to trees - metadata shared among all the trees (eg.
CompressedForest.LocalCompressedForest - Class in hex.tree
Node-local representation of a collection of trees.
CompressedTree - Class in hex.tree
 
CompressedTree(byte[], int, long, int, int) - Constructor for class hex.tree.CompressedTree
 
ComputationState - Class in hex.glm
 
ComputationState(Job, GLMModel.GLMParameters, DataInfo, GLM.BetaConstraint, int) - Constructor for class hex.glm.ComputationState
 
ComputationState.GLMSubsetGinfo - Class in hex.glm
 
ComputationState.GramXY - Class in hex.glm
Cached state of COD (with covariate updates) solver.
compute_metrics - Variable in class hex.schemas.NaiveBayesV3.NaiveBayesParametersV3
 
compute_metrics - Variable in class hex.schemas.PCAV3.PCAParametersV3
 
compute_p_values - Variable in class hex.schemas.GLMV3.GLMParametersV3
 
computeAIC() - Method in class hex.glm.GLMMetricBuilder
 
computeCrossValidation() - Method in class hex.glm.GLM
GLM implementation of N-fold cross-validation.
computeGram(int, GramV3) - Method in class hex.api.MakeGLMModelHandler
 
computeGram(double[], GLMModel.GLMParameters.Solver) - Method in class hex.glm.ComputationState
 
computeImpl() - Method in class hex.coxph.CoxPH.CoxPHDriver
 
computeImpl() - Method in class hex.deeplearning.DeepLearning.DeepLearningDriver
 
computeImpl() - Method in class hex.deepwater.DeepWater.DeepWaterDriver
 
computeImpl() - Method in class hex.glm.GLM.GLMDriver
 
computeImpl() - Method in class hex.tree.SharedTree.Driver
 
computeNewGram(DataInfo, double[], GLMModel.GLMParameters.Solver) - Method in class hex.glm.ComputationState
 
computePriorClassDistribution() - Method in class hex.glm.GLM
 
computePriorClassDistribution() - Method in class hex.tree.SharedTree
 
computeQ(Key<Job>, DataInfo, Frame, double[][]) - Static method in class hex.util.LinearAlgebraUtils
Solve for Q from Y = QR factorization and write into new frame
computeQInPlace(Key<Job>, DataInfo) - Static method in class hex.util.LinearAlgebraUtils
Solve for Q from Y = QR factorization and write into Y frame
computeR(Key<Job>, DataInfo, boolean, double[][]) - Static method in class hex.util.LinearAlgebraUtils
Get R = L' from Cholesky decomposition Y'Y = LL' (same as R from Y = QR)
ComputeSETsk(H2O.H2OCountedCompleter, DataInfo, Key, double[], GLMModel.GLMParameters) - Constructor for class hex.glm.GLMTask.ComputeSETsk
 
computeStats() - Method in class hex.deeplearning.DeepLearningModelInfo
Compute statistics about this model on all nodes
computeSubmodel(int, double) - Method in class hex.glm.GLM.GLMDriver
 
computeVariableImportances() - Method in class hex.deeplearning.DeepLearningModelInfo
Compute Variable Importance, based on GEDEON: DATA MINING OF INPUTS: ANALYSING MAGNITUDE AND FUNCTIONAL MEASURES
computeWeights(double, double, double, double, GLMModel.GLMWeights) - Method in class hex.glm.GLMModel.GLMWeightsFun
 
converged() - Method in class hex.glm.ComputationState
 
converged - Variable in class hex.optimization.L_BFGS.Result
 
count - Variable in class hex.schemas.Word2VecSynonymsV3
 
countEvents - Variable in class hex.coxph.CoxPH.CoxPHTask
 
CoxPH - Class in hex.coxph
Deep Learning Neural Net implementation based on MRTask
CoxPH(boolean) - Constructor for class hex.coxph.CoxPH
 
CoxPH(CoxPHModel.CoxPHParameters) - Constructor for class hex.coxph.CoxPH
 
CoxPH.CoxPHDriver - Class in hex.coxph
 
CoxPH.CoxPHTask - Class in hex.coxph
 
CoxPHDriver() - Constructor for class hex.coxph.CoxPH.CoxPHDriver
 
CoxPHModel - Class in hex.coxph
 
CoxPHModel(Key, CoxPHModel.CoxPHParameters, CoxPHModel.CoxPHOutput) - Constructor for class hex.coxph.CoxPHModel
 
CoxPHModel.CoxPHOutput - Class in hex.coxph
 
CoxPHModel.CoxPHParameters - Class in hex.coxph
 
CoxPHModel.CoxPHParameters.CoxPHTies - Enum in hex.coxph
 
CoxPHModelOutputV3() - Constructor for class hex.schemas.CoxPHModelV3.CoxPHModelOutputV3
 
CoxPHModelV3 - Class in hex.schemas
 
CoxPHModelV3() - Constructor for class hex.schemas.CoxPHModelV3
 
CoxPHModelV3.CoxPHModelOutputV3 - Class in hex.schemas
 
CoxPHOutput(CoxPH) - Constructor for class hex.coxph.CoxPHModel.CoxPHOutput
 
CoxPHParameters() - Constructor for class hex.coxph.CoxPHModel.CoxPHParameters
 
CoxPHParametersV3() - Constructor for class hex.schemas.CoxPHV3.CoxPHParametersV3
 
CoxPHV3 - Class in hex.schemas
 
CoxPHV3() - Constructor for class hex.schemas.CoxPHV3
 
CoxPHV3.CoxPHParametersV3 - Class in hex.schemas
 
createCenterTable(ClusteringModel.ClusteringOutput, boolean) - Static method in class hex.util.ClusteringUtils
 
createFrameOfExemplars(Frame, Key) - Method in class hex.aggregator.AggregatorModel
 
createImpl() - Method in class hex.schemas.AggregatorModelV99
 
createImpl() - Method in class hex.schemas.CoxPHModelV3
 
createImpl() - Method in class hex.schemas.DeepLearningModelV3
 
createImpl() - Method in class hex.schemas.DeepWaterModelV3
 
createImpl() - Method in class hex.schemas.DRFModelV3
 
createImpl() - Method in class hex.schemas.GBMModelV3
 
createImpl() - Method in class hex.schemas.GLMModelV3
 
createImpl() - Method in class hex.schemas.GLRMModelV3
 
createImpl() - Method in class hex.schemas.GrepModelV3
 
createImpl() - Method in class hex.schemas.GrepModelV3.GrepModelOutputV3
 
createImpl() - Method in class hex.schemas.KMeansModelV3
 
createImpl() - Method in class hex.schemas.NaiveBayesModelV3
 
createImpl() - Method in class hex.schemas.PCAModelV3
 
createImpl() - Method in class hex.schemas.StackedEnsembleModelV99
 
createImpl() - Method in class hex.schemas.SVDModelV99
 
createImpl() - Method in class hex.schemas.Word2VecModelV3
 
createInitialModelInfo(Word2VecModel.Word2VecParameters) - Static method in class hex.word2vec.Word2VecModel.Word2VecModelInfo
 
createMappingOfExemplars(Key) - Method in class hex.aggregator.AggregatorModel
 
createModelSummaryTable(int, TreeStats) - Static method in class hex.tree.SharedTree
 
createOutputSchema() - Method in class hex.schemas.AggregatorModelV99
 
createOutputSchema() - Method in class hex.schemas.CoxPHModelV3
 
createOutputSchema() - Method in class hex.schemas.DeepLearningModelV3
 
createOutputSchema() - Method in class hex.schemas.DeepWaterModelV3
 
createOutputSchema() - Method in class hex.schemas.DRFModelV3
 
createOutputSchema() - Method in class hex.schemas.ExampleModelV3
 
createOutputSchema() - Method in class hex.schemas.GBMModelV3
 
createOutputSchema() - Method in class hex.schemas.GLMModelV3
 
createOutputSchema() - Method in class hex.schemas.GLRMModelV3
 
createOutputSchema() - Method in class hex.schemas.GrepModelV3
 
createOutputSchema() - Method in class hex.schemas.KMeansModelV3
 
createOutputSchema() - Method in class hex.schemas.NaiveBayesModelV3
 
createOutputSchema() - Method in class hex.schemas.PCAModelV3
 
createOutputSchema() - Method in class hex.schemas.StackedEnsembleModelV99
 
createOutputSchema() - Method in class hex.schemas.SVDModelV99
 
createOutputSchema() - Method in class hex.schemas.Word2VecModelV3
 
createParametersSchema() - Method in class hex.schemas.AggregatorModelV99
 
createParametersSchema() - Method in class hex.schemas.CoxPHModelV3
 
createParametersSchema() - Method in class hex.schemas.DeepLearningModelV3
 
createParametersSchema() - Method in class hex.schemas.DeepWaterModelV3
 
createParametersSchema() - Method in class hex.schemas.DRFModelV3
 
createParametersSchema() - Method in class hex.schemas.ExampleModelV3
 
createParametersSchema() - Method in class hex.schemas.GBMModelV3
 
createParametersSchema() - Method in class hex.schemas.GLMModelV3
 
createParametersSchema() - Method in class hex.schemas.GLRMModelV3
 
createParametersSchema() - Method in class hex.schemas.GrepModelV3
 
createParametersSchema() - Method in class hex.schemas.KMeansModelV3
 
createParametersSchema() - Method in class hex.schemas.NaiveBayesModelV3
 
createParametersSchema() - Method in class hex.schemas.PCAModelV3
 
createParametersSchema() - Method in class hex.schemas.StackedEnsembleModelV99
 
createParametersSchema() - Method in class hex.schemas.SVDModelV99
 
createParametersSchema() - Method in class hex.schemas.Word2VecModelV3
 
createScoringHistoryTable(Model.Output, ScoreKeeper[], ScoreKeeper[], Job, long[], boolean) - Static method in class hex.tree.SharedTree
 
createScoringHistoryTableDR(LinkedHashMap<String, ArrayList>, String, long) - Static method in class hex.util.DimensionReductionUtils
Create the scoring history for dimension reduction algorithms like PCA/SVD.
ctree(int, int) - Method in class hex.tree.SharedTreeModel.SharedTreeOutput
 
cv_computeAndSetOptimalParameters(ModelBuilder[]) - Method in class hex.deeplearning.DeepLearning
 
cv_computeAndSetOptimalParameters(ModelBuilder<DeepWaterModel, DeepWaterParameters, DeepWaterModelOutput>[]) - Method in class hex.deepwater.DeepWater
 
cv_computeAndSetOptimalParameters(ModelBuilder[]) - Method in class hex.glm.GLM
If run with lambda search, we need to take extra action performed after cross-val models are built.
cv_computeAndSetOptimalParameters(ModelBuilder<M, P, O>[]) - Method in class hex.tree.SharedTree
 

D

d - Variable in class hex.schemas.SVDModelV99.SVDModelOutputV99
 
data(Chunk[], int, int) - Method in class hex.kmeans.KMeansModel
 
data_info - Variable in class hex.deeplearning.DeepLearningModelInfo
 
data_info() - Method in class hex.deeplearning.DeepLearningModelInfo
 
data_row(Chunk[], int, double[]) - Method in class hex.tree.SharedTree
 
DataInfo - Class in hex
Created by tomasnykodym on 1/29/15.
DataInfo(Frame, Frame, boolean, DataInfo.TransformType, boolean, boolean, boolean) - Constructor for class hex.DataInfo
 
DataInfo(Frame, Frame, int, boolean, DataInfo.TransformType, DataInfo.TransformType, boolean, boolean, boolean, boolean, boolean, boolean) - Constructor for class hex.DataInfo
 
DataInfo(Frame, Frame, int, boolean, DataInfo.TransformType, DataInfo.TransformType, boolean, boolean, boolean, boolean, boolean, boolean, Model.InteractionSpec) - Constructor for class hex.DataInfo
The train/valid Frame instances are sorted by categorical (themselves sorted by cardinality greatest to least) with all numerical columns following.
DataInfo(Frame, Frame, int, boolean, DataInfo.TransformType, DataInfo.TransformType, boolean, boolean, boolean, boolean, boolean, boolean, boolean) - Constructor for class hex.DataInfo
 
DataInfo.Row - Class in hex
 
DataInfo.Rows - Class in hex
 
DataInfo.TransformType - Enum in hex
 
DataInfoFrameV3 - Class in hex.schemas
 
DataInfoFrameV3() - Constructor for class hex.schemas.DataInfoFrameV3
 
decided(int) - Method in class hex.tree.DTree
 
DECIDED_ROW - Static variable in class hex.tree.ScoreBuildHistogram
Marker for already decided row.
DecidedNode(DTree.UndecidedNode, DHistogram[]) - Constructor for class hex.tree.DTree.DecidedNode
 
decompose_2(double[][], int, int) - Static method in class hex.gram.Gram.InPlaceCholesky
 
deep_clone() - Method in class hex.gram.Gram
 
deepClone(Key<M>) - Method in class hex.tree.SharedTreeModel
Performs deep clone of given model.
DeepLearning - Class in hex.deeplearning
Deep Learning Neural Net implementation based on MRTask
DeepLearning(DeepLearningModel.DeepLearningParameters) - Constructor for class hex.deeplearning.DeepLearning
Main constructor from Deep Learning parameters
DeepLearning(DeepLearningModel.DeepLearningParameters, Key<DeepLearningModel>) - Constructor for class hex.deeplearning.DeepLearning
 
DeepLearning(boolean) - Constructor for class hex.deeplearning.DeepLearning
 
DeepLearning.DeepLearningDriver - Class in hex.deeplearning
 
DeepLearningDriver() - Constructor for class hex.deeplearning.DeepLearning.DeepLearningDriver
 
DeepLearningModel - Class in hex.deeplearning
The Deep Learning model It contains a DeepLearningModelInfo with the most up-to-date model, a scoring history, as well as some helpers to indicate the progress
DeepLearningModel(Key, DeepLearningModel.DeepLearningParameters, DeepLearningModel, boolean, DataInfo) - Constructor for class hex.deeplearning.DeepLearningModel
Constructor to restart from a checkpointed model
DeepLearningModel(Key, DeepLearningModel.DeepLearningParameters, DeepLearningModel.DeepLearningModelOutput, Frame, Frame, int) - Constructor for class hex.deeplearning.DeepLearningModel
Regular constructor (from scratch)
DeepLearningModel.DeepLearningModelOutput - Class in hex.deeplearning
The Deep Learning model output contains a few extra fields in addition to the metrics in Model.Output 1) Scoring history (raw data) 2) weights/biases (raw data) 3) variable importances (TwoDimTable)
DeepLearningModel.DeepLearningParameters - Class in hex.deeplearning
Deep Learning Parameters
DeepLearningModel.DeepLearningParameters.Activation - Enum in hex.deeplearning
Activation functions
DeepLearningModel.DeepLearningParameters.ClassSamplingMethod - Enum in hex.deeplearning
 
DeepLearningModel.DeepLearningParameters.InitialWeightDistribution - Enum in hex.deeplearning
 
DeepLearningModel.DeepLearningParameters.Loss - Enum in hex.deeplearning
Loss functions Absolute, Quadratic, Huber, Quantile for regression Quadratic, ModifiedHuber or CrossEntropy for classification
DeepLearningModel.DeepLearningParameters.MissingValuesHandling - Enum in hex.deeplearning
 
DeepLearningModelInfo - Class in hex.deeplearning
This class contains the state of the Deep Learning model This will be shared: one per node
DeepLearningModelInfo(DeepLearningModel.DeepLearningParameters, Key, DataInfo, int, Frame, Frame) - Constructor for class hex.deeplearning.DeepLearningModelInfo
Main constructor
DeepLearningModelInfo.GradientCheck - Class in hex.deeplearning
 
DeepLearningModelOutput(DeepLearning) - Constructor for class hex.deeplearning.DeepLearningModel.DeepLearningModelOutput
 
DeepLearningModelOutputV3() - Constructor for class hex.schemas.DeepLearningModelV3.DeepLearningModelOutputV3
 
DeepLearningModelV3 - Class in hex.schemas
 
DeepLearningModelV3() - Constructor for class hex.schemas.DeepLearningModelV3
 
DeepLearningModelV3.DeepLearningModelOutputV3 - Class in hex.schemas
 
DeepLearningMojoWriter - Class in hex.deeplearning
 
DeepLearningMojoWriter() - Constructor for class hex.deeplearning.DeepLearningMojoWriter
 
DeepLearningMojoWriter(DeepLearningModel) - Constructor for class hex.deeplearning.DeepLearningMojoWriter
 
DeepLearningParameters() - Constructor for class hex.deeplearning.DeepLearningModel.DeepLearningParameters
 
DeepLearningParametersV3() - Constructor for class hex.schemas.DeepLearningV3.DeepLearningParametersV3
 
DeepLearningScoringInfo - Class in hex.deeplearning
Lightweight DeepLearning scoring history.
DeepLearningScoringInfo() - Constructor for class hex.deeplearning.DeepLearningScoringInfo
 
DeepLearningTask - Class in hex.deeplearning
 
DeepLearningTask(Key, DeepLearningModelInfo, float, int) - Constructor for class hex.deeplearning.DeepLearningTask
The only constructor
DeepLearningTask(Key, DeepLearningModelInfo, float, int, H2O.H2OCountedCompleter) - Constructor for class hex.deeplearning.DeepLearningTask
 
DeepLearningTask2 - Class in hex.deeplearning
DRemoteTask-based Deep Learning.
DeepLearningTask2(Key, Frame, DeepLearningModelInfo, float, int) - Constructor for class hex.deeplearning.DeepLearningTask2
Construct a DeepLearningTask2 where every node trains on the entire training dataset
DeepLearningV3 - Class in hex.schemas
 
DeepLearningV3() - Constructor for class hex.schemas.DeepLearningV3
 
DeepLearningV3.DeepLearningParametersV3 - Class in hex.schemas
 
DeepWater - Class in hex.deepwater
Deep Learning Neural Net implementation based on MRTask
DeepWater(DeepWaterParameters) - Constructor for class hex.deepwater.DeepWater
Main constructor from Deep Learning parameters
DeepWater(boolean) - Constructor for class hex.deepwater.DeepWater
 
DeepWater.DeepWaterDriver - Class in hex.deepwater
 
DeepWaterDriver() - Constructor for class hex.deepwater.DeepWater.DeepWaterDriver
 
DeepWaterModel - Class in hex.deepwater
The Deep Learning model It contains a DeepWaterModelInfo with the most up-to-date model, a scoring history, as well as some helpers to indicate the progress
DeepWaterModel(Key<DeepWaterModel>, DeepWaterParameters, DeepWaterModel, DataInfo) - Constructor for class hex.deepwater.DeepWaterModel
Constructor to restart from a checkpointed model
DeepWaterModel(Key<DeepWaterModel>, DeepWaterParameters, DeepWaterModelOutput, Frame, Frame, int) - Constructor for class hex.deepwater.DeepWaterModel
Regular constructor (from scratch)
DeepWaterModelInfo - Class in hex.deepwater
This class contains the state of the Deep Learning model This will be shared: one per node
DeepWaterModelOutput - Class in hex.deepwater
 
DeepWaterModelOutput(DeepWater) - Constructor for class hex.deepwater.DeepWaterModelOutput
The Deep Learning model output contains a few extra fields in addition to the metrics in Model.Output 1) Scoring history (raw data) 2) weights/biases (raw data) 3) variable importances (TwoDimTable)
DeepWaterModelOutputV3() - Constructor for class hex.schemas.DeepWaterModelV3.DeepWaterModelOutputV3
 
DeepWaterModelV3 - Class in hex.schemas
 
DeepWaterModelV3() - Constructor for class hex.schemas.DeepWaterModelV3
 
DeepWaterModelV3.DeepWaterModelOutputV3 - Class in hex.schemas
 
DeepwaterMojoWriter - Class in hex.deepwater
Mojo definition for DeepWater model.
DeepwaterMojoWriter() - Constructor for class hex.deepwater.DeepwaterMojoWriter
 
DeepwaterMojoWriter(DeepWaterModel) - Constructor for class hex.deepwater.DeepwaterMojoWriter
 
DeepWaterParameters - Class in hex.deepwater
Parameters for a Deep Water image classification model
DeepWaterParameters() - Constructor for class hex.deepwater.DeepWaterParameters
 
DeepWaterParameters.Activation - Enum in hex.deepwater
Activation functions
DeepWaterParameters.Backend - Enum in hex.deepwater
 
DeepWaterParameters.MissingValuesHandling - Enum in hex.deepwater
 
DeepWaterParameters.Network - Enum in hex.deepwater
 
DeepWaterParameters.ProblemType - Enum in hex.deepwater
 
DeepWaterParametersV3() - Constructor for class hex.schemas.DeepWaterV3.DeepWaterParametersV3
 
DeepWaterScoringInfo - Class in hex.deepwater
Lightweight DeepLearning scoring history.
DeepWaterScoringInfo() - Constructor for class hex.deepwater.DeepWaterScoringInfo
 
DeepWaterTask - Class in hex.deepwater
 
DeepWaterV3 - Class in hex.schemas
 
DeepWaterV3() - Constructor for class hex.schemas.DeepWaterV3
 
DeepWaterV3.DeepWaterParametersV3 - Class in hex.schemas
 
DEFAULT_ABSTOL - Static variable in class hex.optimization.ADMM.L1Solver
 
DEFAULT_RELTOL - Static variable in class hex.optimization.ADMM.L1Solver
 
defaultLink - Variable in enum hex.glm.GLMModel.GLMParameters.Family
 
defaultStoppingTolerance() - Method in class hex.deeplearning.DeepLearningModel.DeepLearningParameters
 
defaultStoppingTolerance() - Method in class hex.deepwater.DeepWaterParameters
 
delete() - Method in class hex.deeplearning.DeepLearningModel
 
delete() - Method in class hex.word2vec.Word2VecModel
 
denormalizeBeta(double[]) - Method in class hex.DataInfo
 
desiredChunks(Frame, boolean) - Method in class hex.deeplearning.DeepLearning
 
dest - Variable in class hex.schemas.MakeGLMModelV3
 
destination_frame - Variable in class hex.schemas.GramV3
 
dev - Variable in class hex.glm.GLMModel.GLMWeights
 
DEV_DEBUG - Static variable in class hex.tree.SharedTree
 
deviance() - Method in class hex.glm.ComputationState
 
deviance(double, double, double) - Method in class hex.glm.GLMModel
 
deviance(double, double) - Method in class hex.glm.GLMModel.GLMParameters
 
deviance(float, float) - Method in class hex.glm.GLMModel.GLMParameters
 
deviance(double, double) - Method in class hex.glm.GLMModel.GLMWeightsFun
 
deviance(float, float) - Method in class hex.glm.GLMModel.GLMWeightsFun
 
devianceTest - Variable in class hex.glm.GLMModel.Submodel
 
devianceTrain - Variable in class hex.glm.GLMModel.Submodel
 
device_id - Variable in class hex.schemas.DeepWaterV3.DeepWaterParametersV3
 
dfork2(byte[], Frame, boolean) - Method in class hex.tree.ScoreBuildHistogram
 
dfork2(byte[], Frame, boolean) - Method in class hex.tree.ScoreBuildHistogram2
 
DHistogram - Class in hex.tree
A Histogram, computed in parallel over a Vec.
DHistogram(String, int, int, byte, double, double, double, SharedTreeModel.SharedTreeParameters.HistogramType, long, Key) - Constructor for class hex.tree.DHistogram
 
DHistogram.NASplitDir - Enum in hex.tree
Split direction for missing values.
DhnasdLeft - Static variable in class hex.tree.TreeVisitor
 
DhnasdNaLeft - Static variable in class hex.tree.TreeVisitor
 
DhnasdNaVsRest - Static variable in class hex.tree.TreeVisitor
 
diagnostics - Variable in class hex.schemas.DeepLearningV3.DeepLearningParametersV3
Gather diagnostics for hidden layers, such as mean and RMS values of learning rate, momentum, weights and biases.
diagnostics - Variable in class hex.schemas.DeepWaterV3.DeepWaterParametersV3
Gather diagnostics for hidden layers, such as mean and RMS values of learning rate, momentum, weights and biases.
diagSum() - Method in class hex.gram.Gram
 
DiffMinusMedianDiff(Vec, double[]) - Constructor for class hex.tree.gbm.GBM.DiffMinusMedianDiff
 
DimensionReductionUtils - Class in hex.util
Created by wendycwong on 2/9/17.
DimensionReductionUtils() - Constructor for class hex.util.DimensionReductionUtils
 
dinfo() - Method in class hex.FrameTask
 
dinfo() - Method in class hex.glm.GLMModel
 
div(double) - Method in class hex.deeplearning.DeepLearningModelInfo
Divide all weights/biases by a real-valued number
div(double) - Method in class hex.deepwater.DeepWaterModelInfo
 
do_not_split() - Method in class hex.tree.DTree.UndecidedNode
 
doOOBScoring() - Method in class hex.tree.SharedTree.Driver
 
doScoreMetricsOneFrame(Frame, Job) - Method in class hex.StackedEnsembleModel
 
doScoreOrCopyMetrics(Job) - Method in class hex.StackedEnsembleModel
 
doScoringAndSaveModel(boolean, boolean, boolean) - Method in class hex.tree.SharedTree
 
dotSame(DataInfo.Row) - Method in class hex.DataInfo.Row
 
DRF - Class in hex.tree.drf
Gradient Boosted Trees Based on "Elements of Statistical Learning, Second Edition, page 387"
DRF(DRFModel.DRFParameters) - Constructor for class hex.tree.drf.DRF
 
DRF(DRFModel.DRFParameters, Key<DRFModel>) - Constructor for class hex.tree.drf.DRF
 
DRF(DRFModel.DRFParameters, Job) - Constructor for class hex.tree.drf.DRF
 
DRF(boolean) - Constructor for class hex.tree.drf.DRF
 
DRFModel - Class in hex.tree.drf
 
DRFModel(Key<DRFModel>, DRFModel.DRFParameters, DRFModel.DRFOutput) - Constructor for class hex.tree.drf.DRFModel
 
DRFModel.DRFOutput - Class in hex.tree.drf
 
DRFModel.DRFParameters - Class in hex.tree.drf
 
DRFModelOutputV3() - Constructor for class hex.schemas.DRFModelV3.DRFModelOutputV3
 
DRFModelV3 - Class in hex.schemas
 
DRFModelV3() - Constructor for class hex.schemas.DRFModelV3
 
DRFModelV3.DRFModelOutputV3 - Class in hex.schemas
 
DrfMojoWriter - Class in hex.tree.drf
Mojo definition for DRF model.
DrfMojoWriter() - Constructor for class hex.tree.drf.DrfMojoWriter
 
DrfMojoWriter(DRFModel) - Constructor for class hex.tree.drf.DrfMojoWriter
 
DRFOutput(DRF) - Constructor for class hex.tree.drf.DRFModel.DRFOutput
 
DRFParameters() - Constructor for class hex.tree.drf.DRFModel.DRFParameters
 
DRFParametersV3() - Constructor for class hex.schemas.DRFV3.DRFParametersV3
 
DRFV3 - Class in hex.schemas
 
DRFV3() - Constructor for class hex.schemas.DRFV3
 
DRFV3.DRFParametersV3 - Class in hex.schemas
 
Driver() - Constructor for class hex.tree.SharedTree.Driver
 
dropActiveData() - Method in class hex.glm.ComputationState
 
dropCols(int[]) - Method in class hex.gram.Gram
 
dropInteractions() - Method in class hex.DataInfo
 
dropIntercept() - Method in class hex.gram.Gram
 
Dropout - Class in hex.deeplearning
Helper class for dropout training of Neural Nets
dropWeights() - Method in class hex.DataInfo
 
DTree - Class in hex.tree
A Decision Tree, laid over a Frame of Vecs, and built distributed.
DTree(Frame, int, char, int, int, long, SharedTreeModel.SharedTreeParameters) - Constructor for class hex.tree.DTree
 
DTree.DecidedNode - Class in hex.tree
 
DTree.LeafNode - Class in hex.tree
 
DTree.Node - Class in hex.tree
 
DTree.Split - Class in hex.tree
 
DTree.UndecidedNode - Class in hex.tree
 
DTreeScorer<T extends DTreeScorer<T>> - Class in hex.tree
 
DTreeScorer(int, int, SharedTree, CompressedForest) - Constructor for class hex.tree.DTreeScorer
 

E

early_stopping - Variable in class hex.schemas.GLMV3.GLMParametersV3
 
eigenvectors - Variable in class hex.schemas.GLRMModelV3.GLRMModelOutputV3
 
eigenvectors - Variable in class hex.schemas.PCAModelV3.PCAModelOutputV3
 
elastic_averaging - Variable in class hex.schemas.DeepLearningV3.DeepLearningParametersV3
 
elastic_averaging_moving_rate - Variable in class hex.schemas.DeepLearningV3.DeepLearningParametersV3
 
elastic_averaging_regularization - Variable in class hex.schemas.DeepLearningV3.DeepLearningParametersV3
 
elasticAverageModelInfoKey() - Method in class hex.deeplearning.DeepLearningModelInfo
 
epoch_counter - Variable in class hex.deeplearning.DeepLearningModel
 
epoch_counter - Variable in class hex.deeplearning.DeepLearningScoringInfo
 
epoch_counter() - Method in class hex.deeplearning.DeepLearningScoringInfo
 
epoch_counter() - Method in class hex.deepwater.DeepWaterScoringInfo
 
epochs - Variable in class hex.schemas.DeepLearningV3.DeepLearningParametersV3
The number of passes over the training dataset to be carried out.
epochs - Variable in class hex.schemas.DeepWaterV3.DeepWaterParametersV3
The number of passes over the training dataset to be carried out.
epochs - Variable in class hex.schemas.Word2VecModelV3.Word2VecModelOutputV3
 
epochs - Variable in class hex.schemas.Word2VecV3.Word2VecParametersV3
 
eps_prob - Variable in class hex.schemas.NaiveBayesV3.NaiveBayesParametersV3
 
eps_sdev - Variable in class hex.schemas.NaiveBayesV3.NaiveBayesParametersV3
 
epsilon - Variable in class hex.schemas.DeepLearningV3.DeepLearningParametersV3
The second of two hyper parameters for adaptive learning rate (ADADELTA).
estimate_k - Variable in class hex.schemas.KMeansV3.KMeansParametersV3
 
estimateRho(double, double, double, double) - Static method in class hex.optimization.ADMM.L1Solver
Estimate optimal rho based on l1 penalty and (estimate of) solution x without the l1penalty
evaluate(double[]) - Method in interface hex.optimization.OptimizationUtils.LineSearchSolver
 
evaluate(double[]) - Method in class hex.optimization.OptimizationUtils.MoreThuente
 
evaluate(double[]) - Method in class hex.optimization.OptimizationUtils.SimpleBacktrackingLS
 
Example - Class in hex.example
Example model builder...
Example(ExampleModel.ExampleParameters) - Constructor for class hex.example.Example
 
ExampleModel - Class in hex.example
 
ExampleModel.ExampleOutput - Class in hex.example
 
ExampleModel.ExampleParameters - Class in hex.example
 
ExampleModelOutputV3() - Constructor for class hex.schemas.ExampleModelV3.ExampleModelOutputV3
 
ExampleModelV3 - Class in hex.schemas
 
ExampleModelV3() - Constructor for class hex.schemas.ExampleModelV3
 
ExampleModelV3.ExampleModelOutputV3 - Class in hex.schemas
 
ExampleOutput(Example) - Constructor for class hex.example.ExampleModel.ExampleOutput
 
ExampleParameters() - Constructor for class hex.example.ExampleModel.ExampleParameters
 
ExampleParametersV3() - Constructor for class hex.schemas.ExampleV3.ExampleParametersV3
 
ExampleV3 - Class in hex.schemas
 
ExampleV3() - Constructor for class hex.schemas.ExampleV3
 
ExampleV3.ExampleParametersV3 - Class in hex.schemas
 
expand(Frame, Model.InteractionSpec, boolean, boolean, boolean) - Static method in class hex.glm.GLMModel.GLMOutput
 
expand_user_y - Variable in class hex.schemas.GLRMV3.GLRMParametersV3
 
expandBeta(double[]) - Method in class hex.glm.ComputationState
 
expandCats() - Method in class hex.DataInfo.Row
 
expandCats(double[][], DataInfo) - Static method in class hex.glrm.GLRM
 
expandRow(double[], DataInfo, double[], boolean) - Static method in class hex.util.LinearAlgebraUtils
 
explained_deviance_train - Variable in class hex.schemas.GLMRegularizationPathV3
 
explained_deviance_valid - Variable in class hex.schemas.GLMRegularizationPathV3
 
explainedDev() - Method in class hex.glm.GLMMetricBuilder
 
export_native_parameters_prefix - Variable in class hex.schemas.DeepWaterV3.DeepWaterParametersV3
 
export_weights_and_biases - Variable in class hex.schemas.DeepLearningV3.DeepLearningParametersV3
 
ExpRectifier(int) - Constructor for class hex.deeplearning.Neurons.ExpRectifier
 
ExpRectifierDropout(int) - Constructor for class hex.deeplearning.Neurons.ExpRectifierDropout
 
extractDenseRow(Chunk[], int, DataInfo.Row) - Method in class hex.DataInfo
 
ExtractDenseRow(DataInfo, long) - Constructor for class hex.FrameTask.ExtractDenseRow
 
extractRegularizationPath(int, GLMRegularizationPathV3) - Method in class hex.api.MakeGLMModelHandler
 
extractSparseRows(Chunk[]) - Method in class hex.DataInfo
Extract (sparse) rows from given chunks.

F

family - Variable in class hex.schemas.GLMV3.GLMParametersV3
 
fast_mode - Variable in class hex.schemas.DeepLearningV3.DeepLearningParametersV3
Enable fast mode (minor approximation in back-propagation), should not affect results significantly.
fetch() - Method in class hex.tree.CompressedForest
Fetches trees from DKV and converts to a node-local structure.
fields - Static variable in class hex.schemas.AggregatorV99.AggregatorParametersV99
 
fields - Static variable in class hex.schemas.CoxPHV3.CoxPHParametersV3
 
fields - Static variable in class hex.schemas.DeepLearningV3.DeepLearningParametersV3
 
fields - Static variable in class hex.schemas.DeepWaterV3.DeepWaterParametersV3
 
fields - Static variable in class hex.schemas.DRFV3.DRFParametersV3
 
fields - Static variable in class hex.schemas.GBMV3.GBMParametersV3
 
fields - Static variable in class hex.schemas.GLMV3.GLMParametersV3
 
fields - Static variable in class hex.schemas.GLRMV3.GLRMParametersV3
 
fields - Static variable in class hex.schemas.KMeansV3.KMeansParametersV3
 
fields - Static variable in class hex.schemas.NaiveBayesV3.NaiveBayesParametersV3
 
fields - Static variable in class hex.schemas.PCAV3.PCAParametersV3
 
fields - Static variable in class hex.schemas.StackedEnsembleV99.StackedEnsembleParametersV99
 
fields - Static variable in class hex.schemas.SVDV99.SVDParametersV99
 
fields - Static variable in class hex.schemas.Word2VecV3.Word2VecParametersV3
 
fillBytes(long) - Method in class hex.deeplearning.Dropout
 
fillFromImpl(GLMModel.GLMOutput) - Method in class hex.schemas.GLMModelV3.GLMModelOutputV3
 
fillFromImpl(GrepModel) - Method in class hex.schemas.GrepModelV3
 
fillFromImpl(GrepModel.GrepOutput) - Method in class hex.schemas.GrepModelV3.GrepModelOutputV3
 
fillFromImpl(KMeansModel.KMeansOutput) - Method in class hex.schemas.KMeansModelV3.KMeansModelOutputV3
 
filterExpandedColumns(int[]) - Method in class hex.DataInfo
Filter the _adaptedFrame so that it contains only the Vecs referenced by the cols parameter.
filterExpandedColumns(int[]) - Method in class hex.glm.GLM.BetaConstraint
 
find_maxEx() - Method in class hex.tree.DHistogram
 
find_maxEx(double, int) - Static method in class hex.tree.DHistogram
 
find_maxIn() - Method in class hex.tree.DHistogram
 
find_min() - Method in class hex.tree.DHistogram
 
findGoodCidx(Frame, ArrayList<Integer>, boolean, int, int, int) - Static method in class hex.glrm.GLRM
 
findSynonyms(int, Word2VecSynonymsV3) - Method in class hex.api.Word2VecHandler
 
findSynonyms(String, int) - Method in class hex.word2vec.Word2VecModel
Find synonyms (i.e.
findtAChunkIndices(Frame, int, int, GLRM.Archetypes) - Static method in class hex.glrm.GLRM
 
findXChunkIndices(Frame, int, int, GLRM.Archetypes) - Static method in class hex.glrm.GLRM
 
findZeroCols() - Method in class hex.gram.Gram
 
foldChunkId() - Method in class hex.DataInfo
 
force_load_balance - Variable in class hex.schemas.DeepLearningV3.DeepLearningParametersV3
Increase training speed on small datasets by splitting it into many chunks to allow utilization of all cores.
forwardSolve(double[][], double[]) - Static method in class hex.util.LinearAlgebraUtils
 
ForwardSolve(DataInfo, double[][]) - Constructor for class hex.util.LinearAlgebraUtils.ForwardSolve
 
ForwardSolveInPlace(DataInfo, double[][]) - Constructor for class hex.util.LinearAlgebraUtils.ForwardSolveInPlace
 
fprop(long, boolean, int) - Method in class hex.deeplearning.Neurons.ExpRectifier
 
fprop(long, boolean, int) - Method in class hex.deeplearning.Neurons.ExpRectifierDropout
 
fprop(long, boolean, int) - Method in class hex.deeplearning.Neurons
Forward propagation
fprop(long, boolean, int) - Method in class hex.deeplearning.Neurons.Input
 
fprop(long, boolean, int) - Method in class hex.deeplearning.Neurons.Linear
 
fprop(long, boolean, int) - Method in class hex.deeplearning.Neurons.Maxout
 
fprop(long, boolean, int) - Method in class hex.deeplearning.Neurons.MaxoutDropout
 
fprop(long, boolean, int) - Method in class hex.deeplearning.Neurons.Rectifier
 
fprop(long, boolean, int) - Method in class hex.deeplearning.Neurons.RectifierDropout
 
fprop(long, boolean, int) - Method in class hex.deeplearning.Neurons.Softmax
 
fprop(long, boolean, int) - Method in class hex.deeplearning.Neurons.Tanh
 
fprop(long, boolean, int) - Method in class hex.deeplearning.Neurons.TanhDropout
 
fpropMiniBatch(long, Neurons[], DeepLearningModelInfo, DeepLearningModelInfo, boolean, double[], double[], int) - Static method in class hex.deeplearning.DeepLearningTask
Forward propagation assumption: layer 0 has _a filled with (horizontalized categoricals) double values
frame - Variable in class hex.schemas.DataInfoFrameV3
 
FrameMap() - Constructor for class hex.tree.SharedTree.FrameMap
 
FrameMap(SharedTree) - Constructor for class hex.tree.SharedTree.FrameMap
 
FrameTask<T extends FrameTask<T>> - Class in hex
 
FrameTask(Key<Job>, DataInfo) - Constructor for class hex.FrameTask
 
FrameTask(Key<Job>, DataInfo, long, int, boolean) - Constructor for class hex.FrameTask
 
FrameTask(Key<Job>, DataInfo, long, int, boolean, H2O.H2OCountedCompleter) - Constructor for class hex.FrameTask
 
FrameTask.ExtractDenseRow - Class in hex
 
FrameTask2<T extends FrameTask2<T>> - Class in hex
Created by tomasnykodym on 6/1/15.
FrameTask2(H2O.H2OCountedCompleter, DataInfo, Key<Job>) - Constructor for class hex.FrameTask2
 
FRESH - Static variable in class hex.tree.ScoreBuildHistogram
 
frobenius2(double[][]) - Static method in class hex.glrm.GLRM
 
fullCatOffsets() - Method in class hex.DataInfo
 
fullN() - Method in class hex.DataInfo
Get the fully expanded number of predictor columns.
fullN() - Method in class hex.gram.Gram
 
fullName() - Method in class hex.aggregator.AggregatorModel.AggregatorParameters
 
fullName() - Method in class hex.coxph.CoxPHModel.CoxPHParameters
 
fullName() - Method in class hex.deeplearning.DeepLearningModel.DeepLearningParameters
 
fullName() - Method in class hex.deepwater.DeepWaterParameters
 
fullName() - Method in class hex.example.ExampleModel.ExampleParameters
 
fullName() - Method in class hex.glm.GLMModel.GLMParameters
 
fullName() - Method in class hex.glrm.GLRMModel.GLRMParameters
 
fullName() - Method in class hex.grep.GrepModel.GrepParameters
 
fullName() - Method in class hex.kmeans.KMeansModel.KMeansParameters
 
fullName() - Method in class hex.naivebayes.NaiveBayesModel.NaiveBayesParameters
 
fullName() - Method in class hex.pca.PCAModel.PCAParameters
 
fullName() - Method in class hex.StackedEnsembleModel.StackedEnsembleParameters
 
fullName() - Method in class hex.svd.SVDModel.SVDParameters
 
fullName() - Method in class hex.tree.drf.DRFModel.DRFParameters
 
fullName() - Method in class hex.tree.gbm.GBMModel.GBMParameters
 
fullName() - Method in class hex.word2vec.Word2VecModel.Word2VecParameters
 

G

gamma_x - Variable in class hex.schemas.GLRMV3.GLRMParametersV3
 
gamma_y - Variable in class hex.schemas.GLRMV3.GLRMParametersV3
 
GBM - Class in hex.tree.gbm
Gradient Boosted Trees Based on "Elements of Statistical Learning, Second Edition, page 387"
GBM(GBMModel.GBMParameters) - Constructor for class hex.tree.gbm.GBM
 
GBM(GBMModel.GBMParameters, Key<GBMModel>) - Constructor for class hex.tree.gbm.GBM
 
GBM(boolean) - Constructor for class hex.tree.gbm.GBM
 
GBM.DiffMinusMedianDiff - Class in hex.tree.gbm
 
GBMModel - Class in hex.tree.gbm
 
GBMModel(Key<GBMModel>, GBMModel.GBMParameters, GBMModel.GBMOutput) - Constructor for class hex.tree.gbm.GBMModel
 
GBMModel.GBMOutput - Class in hex.tree.gbm
 
GBMModel.GBMParameters - Class in hex.tree.gbm
 
GBMModelOutputV3() - Constructor for class hex.schemas.GBMModelV3.GBMModelOutputV3
 
GBMModelV3 - Class in hex.schemas
 
GBMModelV3() - Constructor for class hex.schemas.GBMModelV3
 
GBMModelV3.GBMModelOutputV3 - Class in hex.schemas
 
GbmMojoWriter - Class in hex.tree.gbm
MOJO support for GBM model.
GbmMojoWriter() - Constructor for class hex.tree.gbm.GbmMojoWriter
 
GbmMojoWriter(GBMModel) - Constructor for class hex.tree.gbm.GbmMojoWriter
 
GBMOutput(GBM) - Constructor for class hex.tree.gbm.GBMModel.GBMOutput
 
GBMParameters() - Constructor for class hex.tree.gbm.GBMModel.GBMParameters
 
GBMParametersV3() - Constructor for class hex.schemas.GBMV3.GBMParametersV3
 
GBMV3 - Class in hex.schemas
 
GBMV3() - Constructor for class hex.schemas.GBMV3
 
GBMV3.GBMParametersV3 - Class in hex.schemas
 
generateIPC(double[], double, double[], double[], double[]) - Static method in class hex.util.DimensionReductionUtils
This method will calculate the importance of principal components for PCA/GLRM methods.
generateSummary(Key, int) - Method in class hex.glm.GLMModel
Re-do the TwoDim table generation with updated model.
get(int) - Method in class hex.DataInfo.Row
 
get(int, int) - Method in class hex.deeplearning.Storage.DenseColMatrix
 
get(int, int) - Method in class hex.deeplearning.Storage.DenseRowMatrix
 
get(int) - Method in class hex.deeplearning.Storage.DenseVector
 
get(int, int) - Method in interface hex.deeplearning.Storage.Matrix
 
get(int, int) - Method in class hex.deeplearning.Storage.SparseRowMatrix
 
get(int, int, int) - Method in interface hex.deeplearning.Storage.Tensor
 
get(int) - Method in interface hex.deeplearning.Storage.Vector
 
get(int, int) - Method in class hex.gram.Gram
 
get_ada_dx_g(int) - Method in class hex.deeplearning.DeepLearningModelInfo
 
get_avg_activations(int) - Method in class hex.deeplearning.DeepLearningModelInfo
 
get_biases(int) - Method in class hex.deeplearning.DeepLearningModelInfo
 
get_biases_ada_dx_g(int) - Method in class hex.deeplearning.DeepLearningModelInfo
 
get_biases_momenta(int) - Method in class hex.deeplearning.DeepLearningModelInfo
 
get_global_beta_multinomial() - Method in class hex.glm.GLMModel.GLMOutput
 
get_params() - Method in class hex.coxph.CoxPHModel
 
get_params() - Method in class hex.deeplearning.DeepLearningModel
Get the parameters actually used for model building, not the user-given ones (_parms) They might differ since some defaults are filled in, and some invalid combinations are auto-disabled in modifyParams
get_params() - Method in class hex.deeplearning.DeepLearningModelInfo
 
get_params() - Method in class hex.deepwater.DeepWaterModel
Get the parameters actually used for model building, not the user-given ones (_parms) They might differ since some defaults are filled in, and some invalid combinations are auto-disabled in modifyParams
get_params() - Method in class hex.deepwater.DeepWaterModelInfo
 
get_processed_global() - Method in class hex.deeplearning.DeepLearningModelInfo
 
get_processed_local() - Method in class hex.deeplearning.DeepLearningModelInfo
 
get_processed_total() - Method in class hex.deeplearning.DeepLearningModelInfo
 
get_weights(int) - Method in class hex.deeplearning.DeepLearningModelInfo
 
get_weights_momenta(int) - Method in class hex.deeplearning.DeepLearningModelInfo
 
getBeta(double[]) - Method in class hex.glm.GLMModel.Submodel
 
getCat(int, int, int) - Method in class hex.glrm.GLRM.Archetypes
 
getCatBlock(int) - Method in class hex.glrm.GLRM.Archetypes
 
getCatCidx(int, int) - Method in class hex.glrm.GLRM.Archetypes
 
getCategoricalId(int, double) - Method in class hex.DataInfo
 
getCategoricalId(int, int) - Method in class hex.DataInfo
Get the offset into the expanded categorical
getCategoricalIdFromInteraction(int, int) - Method in class hex.DataInfo
 
getCheckpointNonModifiableFields() - Method in class hex.tree.SharedTreeModel.SharedTreeParameters
 
getChildNodeID(Chunk[], int) - Method in class hex.tree.DTree.DecidedNode
 
getCODGradients() - Method in class hex.glm.ComputationState.GramXY
 
getDataInfoFrame(int, DataInfoFrameV3) - Method in class hex.api.MakeGLMModelHandler
Get the expanded (interactions + offsets) dataset.
getDecisionPath(double[], String[][]) - Method in class hex.tree.CompressedTree
 
getGlobalQuantilesKey(int) - Method in class hex.tree.SharedTree.Driver
 
getGlobalQuantilesKeys() - Method in class hex.tree.SharedTree.Driver
 
getGradient(double[]) - Method in class hex.glm.GLM.GLMGradientSolver
 
getGradient(double[]) - Method in class hex.glm.GLM.ProximalGradientSolver
 
getGradient(double[]) - Method in interface hex.optimization.OptimizationUtils.GradientSolver
Evaluate ginfo at solution beta.
getInitialValue() - Method in class hex.tree.SharedTree
Compute the inital value for a given distribution
getInstance() - Static method in class hex.deeplearning.MurmurHash
 
getInteractionOffset(Chunk[], int, int) - Method in class hex.DataInfo
 
getInv() - Method in class hex.gram.Gram.Cholesky
 
getInvDiag() - Method in class hex.gram.Gram.Cholesky
 
getL() - Method in class hex.gram.Gram.Cholesky
 
getL() - Method in class hex.gram.Gram.InPlaceCholesky
 
getMiniBatchSize() - Method in class hex.deeplearning.DeepLearningTask
 
getMiniBatchSize() - Method in class hex.FrameTask
Note: If this is overridden, then applyMiniBatch must be overridden as well to perform the model/weight mini-batch update
getModel() - Method in class hex.deepwater.DeepWaterModelInfo
 
getModelCategory() - Method in class hex.aggregator.AggregatorModel.AggregatorOutput
 
getModelCategory() - Method in class hex.coxph.CoxPHModel.CoxPHOutput
 
getModelCategory() - Method in class hex.deeplearning.DeepLearningModel.DeepLearningModelOutput
 
getModelCategory() - Method in class hex.deepwater.DeepWaterModelOutput
 
getModelCategory() - Method in class hex.example.ExampleModel.ExampleOutput
 
getModelCategory() - Method in class hex.glm.GLMModel.GLMOutput
 
getModelCategory() - Method in class hex.glrm.GLRMModel.GLRMOutput
 
getModelCategory() - Method in class hex.grep.GrepModel.GrepOutput
 
getModelCategory() - Method in class hex.pca.PCAModel.PCAOutput
 
getModelCategory() - Method in class hex.svd.SVDModel.SVDOutput
 
getModelCategory() - Method in class hex.word2vec.Word2VecModel.Word2VecOutput
 
getMojo() - Method in class hex.deeplearning.DeepLearningModel
 
getMojo() - Method in class hex.deepwater.DeepWaterModel
 
getMojo() - Method in class hex.glm.GLMModel
 
getMojo() - Method in class hex.glrm.GLRMModel
 
getMojo() - Method in class hex.kmeans.KMeansModel
 
getMojo() - Method in class hex.StackedEnsembleModel
 
getMojo() - Method in class hex.tree.drf.DRFModel
 
getMojo() - Method in class hex.tree.gbm.GBMModel
 
getMojo() - Method in class hex.word2vec.Word2VecModel
 
getMostImportantFeatures(int) - Method in class hex.tree.SharedTreeModel
 
getName() - Method in class hex.api.RegisterAlgos
 
getNormBeta() - Method in class hex.glm.GLMModel.GLMOutput
 
getNormBetaMultinomial() - Method in class hex.glm.GLMModel.GLMOutput
 
getNormBetaMultinomial(int) - Method in class hex.glm.GLMModel.GLMOutput
 
getNum(int, int) - Method in class hex.glrm.GLRM.Archetypes
 
getNumCidx(int) - Method in class hex.glrm.GLRM.Archetypes
 
getObj() - Method in interface hex.optimization.OptimizationUtils.LineSearchSolver
 
getObj() - Method in class hex.optimization.OptimizationUtils.MoreThuente
 
getObj() - Method in class hex.optimization.OptimizationUtils.SimpleBacktrackingLS
 
getObjective(double[]) - Method in class hex.glm.GLM.GLMGradientSolver
 
getObjective(double[]) - Method in class hex.glm.GLM.ProximalGradientSolver
 
getObjective(double[]) - Method in interface hex.optimization.OptimizationUtils.GradientSolver
 
getOffsetVec() - Method in class hex.DataInfo
 
getOutput(int) - Method in class hex.DataInfo.Row
 
getOutputVec(int) - Method in class hex.DataInfo
 
getParams() - Method in class hex.word2vec.Word2VecModel.Word2VecModelInfo
 
getPojoInterfaces() - Method in class hex.kmeans.KMeansModel
 
getRegularizationPath() - Method in class hex.glm.GLMModel
 
getSearchDirection(double[], double[]) - Method in class hex.optimization.L_BFGS.History
 
getSubmodel(double) - Method in class hex.glm.GLMModel.GLMOutput
 
getSubModels() - Method in class hex.ensemble.StackedEnsembleMojoWriter
 
getToEigenVec() - Method in class hex.aggregator.Aggregator
 
getToEigenVec() - Method in class hex.aggregator.AggregatorModel
 
getToEigenVec() - Method in class hex.deeplearning.DeepLearning
 
getToEigenVec() - Method in class hex.deeplearning.DeepLearningModel
 
getToEigenVec() - Method in class hex.deepwater.DeepWater
 
getToEigenVec() - Method in class hex.deepwater.DeepWaterModel
 
getToEigenVec() - Method in class hex.kmeans.KMeans
 
getToEigenVec() - Method in class hex.kmeans.KMeansModel
 
getToEigenVec() - Method in class hex.tree.SharedTree
 
getToEigenVec() - Method in class hex.tree.SharedTreeModel
 
getWeightsVec() - Method in class hex.DataInfo
 
getX() - Method in interface hex.optimization.OptimizationUtils.LineSearchSolver
 
getX() - Method in class hex.optimization.OptimizationUtils.MoreThuente
 
getX() - Method in class hex.optimization.OptimizationUtils.SimpleBacktrackingLS
 
getXChunk(Frame, int, Chunk[]) - Static method in class hex.glrm.GLRM
 
getXX() - Method in class hex.gram.Gram
 
getXX(boolean, boolean) - Method in class hex.gram.Gram
 
getXX(double[][]) - Method in class hex.gram.Gram
 
getXX(double[][], boolean, boolean) - Method in class hex.gram.Gram
 
getY(boolean) - Method in class hex.glrm.GLRM.Archetypes
 
ginfo() - Method in class hex.glm.ComputationState
 
ginfo - Variable in class hex.optimization.L_BFGS.Result
 
ginfo() - Method in interface hex.optimization.OptimizationUtils.LineSearchSolver
 
ginfo() - Method in class hex.optimization.OptimizationUtils.MoreThuente
 
ginfo() - Method in class hex.optimization.OptimizationUtils.SimpleBacktrackingLS
 
ginfoMultinomial(int) - Method in class hex.glm.ComputationState
 
GLM - Class in hex.glm
Created by tomasnykodym on 8/27/14.
GLM(boolean) - Constructor for class hex.glm.GLM
 
GLM(GLMModel.GLMParameters) - Constructor for class hex.glm.GLM
 
GLM(GLMModel.GLMParameters, Key) - Constructor for class hex.glm.GLM
 
GLM.BetaConstraint - Class in hex.glm
 
GLM.GLMDriver - Class in hex.glm
Main loop of the glm algo.
GLM.GLMGradientInfo - Class in hex.glm
 
GLM.GLMGradientSolver - Class in hex.glm
Gradient and line search computation for L_BFGS and also L_BFGS solver wrapper (for ADMM)
GLM.GramSolver - Class in hex.glm
Created by tomasnykodym on 3/30/15.
GLM.ProximalGradientInfo - Class in hex.glm
 
GLM.ProximalGradientSolver - Class in hex.glm
Simple wrapper around ginfo computation, adding proximal penalty
GLMCoordinateDescentTaskSeqIntercept(double[], DataInfo) - Constructor for class hex.glm.GLMTask.GLMCoordinateDescentTaskSeqIntercept
 
GLMCoordinateDescentTaskSeqNaive(boolean, boolean, int, double[], double[], int[], int[], double[], double[], double[], double[], boolean) - Constructor for class hex.glm.GLMTask.GLMCoordinateDescentTaskSeqNaive
 
GLMDriver() - Constructor for class hex.glm.GLM.GLMDriver
 
GLMGenerateWeightsTask(Key, DataInfo, GLMModel.GLMParameters, double[]) - Constructor for class hex.glm.GLMTask.GLMGenerateWeightsTask
 
GLMGradientInfo(double, double, double[]) - Constructor for class hex.glm.GLM.GLMGradientInfo
 
GLMGradientSolver(Job, GLMModel.GLMParameters, DataInfo, double, GLM.BetaConstraint) - Constructor for class hex.glm.GLM.GLMGradientSolver
 
GLMIterationTask(Key, DataInfo, GLMModel.GLMWeightsFun, double[]) - Constructor for class hex.glm.GLMTask.GLMIterationTask
 
GLMIterationTask(Key, DataInfo, GLMModel.GLMWeightsFun, double[], int) - Constructor for class hex.glm.GLMTask.GLMIterationTask
 
GLMIterationTaskMultinomial(DataInfo, Key, double[], int) - Constructor for class hex.glm.GLMTask.GLMIterationTaskMultinomial
 
GLMMetricBuilder - Class in hex.glm
Class for GLMValidation.
GLMMetricBuilder(String[], double[], GLMModel.GLMWeightsFun, int, boolean, boolean) - Constructor for class hex.glm.GLMMetricBuilder
 
GLMModel - Class in hex.glm
Created by tomasnykodym on 8/27/14.
GLMModel(Key, GLMModel.GLMParameters, GLM, double[], double, double, long) - Constructor for class hex.glm.GLMModel
 
GLMModel.GLMOutput - Class in hex.glm
 
GLMModel.GLMParameters - Class in hex.glm
 
GLMModel.GLMParameters.Family - Enum in hex.glm
 
GLMModel.GLMParameters.Link - Enum in hex.glm
 
GLMModel.GLMParameters.Solver - Enum in hex.glm
 
GLMModel.GLMWeights - Class in hex.glm
 
GLMModel.GLMWeightsFun - Class in hex.glm
 
GLMModel.RegularizationPath - Class in hex.glm
 
GLMModel.Submodel - Class in hex.glm
 
GLMModelOutputV3() - Constructor for class hex.schemas.GLMModelV3.GLMModelOutputV3
 
GLMModelV3 - Class in hex.schemas
 
GLMModelV3() - Constructor for class hex.schemas.GLMModelV3
 
GLMModelV3.GLMModelOutputV3 - Class in hex.schemas
 
GLMMojoWriter - Class in hex.glm
 
GLMMojoWriter() - Constructor for class hex.glm.GLMMojoWriter
 
GLMMojoWriter(GLMModel) - Constructor for class hex.glm.GLMMojoWriter
 
GLMMultinomialUpdate(DataInfo, Key, double[], int) - Constructor for class hex.glm.GLMTask.GLMMultinomialUpdate
 
GLMMultinomialWLSTask(H2O.H2OCountedCompleter, DataInfo, Key, GLMModel.GLMWeightsFun, double[]) - Constructor for class hex.glm.GLMTask.GLMMultinomialWLSTask
 
GLMOutput(DataInfo, String[], String[][], String[], boolean) - Constructor for class hex.glm.GLMModel.GLMOutput
 
GLMOutput(DataInfo, String[], String[][], String[], boolean, double[]) - Constructor for class hex.glm.GLMModel.GLMOutput
 
GLMOutput() - Constructor for class hex.glm.GLMModel.GLMOutput
 
GLMOutput(GLM) - Constructor for class hex.glm.GLMModel.GLMOutput
 
GLMParameters() - Constructor for class hex.glm.GLMModel.GLMParameters
 
GLMParameters(GLMModel.GLMParameters.Family) - Constructor for class hex.glm.GLMModel.GLMParameters
 
GLMParameters(GLMModel.GLMParameters.Family, GLMModel.GLMParameters.Link) - Constructor for class hex.glm.GLMModel.GLMParameters
 
GLMParameters(GLMModel.GLMParameters.Family, GLMModel.GLMParameters.Link, double[], double[], double, double) - Constructor for class hex.glm.GLMModel.GLMParameters
 
GLMParameters(GLMModel.GLMParameters.Family, GLMModel.GLMParameters.Link, double[], double[], double, double, String[]) - Constructor for class hex.glm.GLMModel.GLMParameters
 
GLMParametersV3() - Constructor for class hex.schemas.GLMV3.GLMParametersV3
 
GLMRegularizationPathV3 - Class in hex.schemas
 
GLMRegularizationPathV3() - Constructor for class hex.schemas.GLMRegularizationPathV3
 
GLMScore - Class in hex.glm
Created by tomas on 3/15/16.
GLMScore(Job, GLMModel, DataInfo, String[], boolean, boolean) - Constructor for class hex.glm.GLMScore
 
GLMSubsetGinfo(GLM.GLMGradientInfo, int, int, int[]) - Constructor for class hex.glm.ComputationState.GLMSubsetGinfo
 
GLMTask - Class in hex.glm
All GLM related distributed tasks: YMUTask - computes response means on actual datasets (if some rows are ignored - e.g ignoring rows with NA and/or doing cross-validation) GLMGradientTask - computes gradient at given Beta, used by L-BFGS, for KKT condition check GLMLineSearchTask - computes residual deviance(s) at given beta(s), used by line search (both L-BFGS and IRLSM) GLMIterationTask - used by IRLSM to compute Gram matrix and response t(X) W X, t(X)Wz
GLMTask() - Constructor for class hex.glm.GLMTask
 
GLMTask.ComputeSETsk - Class in hex.glm
 
GLMTask.GLMCoordinateDescentTaskSeqIntercept - Class in hex.glm
 
GLMTask.GLMCoordinateDescentTaskSeqNaive - Class in hex.glm
 
GLMTask.GLMGenerateWeightsTask - Class in hex.glm
 
GLMTask.GLMIterationTask - Class in hex.glm
One iteration of glm, computes weighted gram matrix and t(x)*y vector and t(y)*y scalar.
GLMTask.GLMIterationTaskMultinomial - Class in hex.glm
 
GLMTask.GLMMultinomialUpdate - Class in hex.glm
 
GLMTask.GLMMultinomialWLSTask - Class in hex.glm
 
GLMTask.GLMWLSTask - Class in hex.glm
 
GLMTask.LSTask - Class in hex.glm
Task to compute t(X) %*% W %*% X and t(X) %*% W %*% y
GLMTask.YMUTask - Class in hex.glm
 
GLMV3 - Class in hex.schemas
Created by tomasnykodym on 8/29/14.
GLMV3() - Constructor for class hex.schemas.GLMV3
 
GLMV3.GLMParametersV3 - Class in hex.schemas
 
GLMWeights() - Constructor for class hex.glm.GLMModel.GLMWeights
 
GLMWeightsFun(GLMModel.GLMParameters) - Constructor for class hex.glm.GLMModel.GLMWeightsFun
 
GLMWeightsFun(GLMModel.GLMParameters.Family, GLMModel.GLMParameters.Link, double, double) - Constructor for class hex.glm.GLMModel.GLMWeightsFun
 
GLMWLSTask(H2O.H2OCountedCompleter, DataInfo, Key, GLMModel.GLMWeightsFun, double[]) - Constructor for class hex.glm.GLMTask.GLMWLSTask
 
GLRM - Class in hex.glrm
Generalized Low Rank Models This is an algorithm for dimensionality reduction of a dataset.
GLRM(GLRMModel.GLRMParameters) - Constructor for class hex.glrm.GLRM
 
GLRM(GLRMModel.GLRMParameters, Job<GLRMModel>) - Constructor for class hex.glrm.GLRM
 
GLRM(boolean) - Constructor for class hex.glrm.GLRM
 
GLRM.Archetypes - Class in hex.glrm
 
GLRM.updateXVecs - Class in hex.glrm
 
GLRMModel - Class in hex.glrm
GLRMModel(Key<GLRMModel>, GLRMModel.GLRMParameters, GLRMModel.GLRMOutput) - Constructor for class hex.glrm.GLRMModel
 
GLRMModel.GLRMOutput - Class in hex.glrm
 
GLRMModel.GLRMParameters - Class in hex.glrm
 
GlrmModelMetricsBuilder(int, int[]) - Constructor for class hex.glrm.ModelMetricsGLRM.GlrmModelMetricsBuilder
 
GlrmModelMetricsBuilder(int, int[], boolean) - Constructor for class hex.glrm.ModelMetricsGLRM.GlrmModelMetricsBuilder
 
GLRMModelOutputV3() - Constructor for class hex.schemas.GLRMModelV3.GLRMModelOutputV3
 
GLRMModelV3 - Class in hex.schemas
 
GLRMModelV3() - Constructor for class hex.schemas.GLRMModelV3
 
GLRMModelV3.GLRMModelOutputV3 - Class in hex.schemas
 
GlrmMojoWriter - Class in hex.glrm
MOJO serializer for GLRM model.
GlrmMojoWriter() - Constructor for class hex.glrm.GlrmMojoWriter
 
GlrmMojoWriter(GLRMModel) - Constructor for class hex.glrm.GlrmMojoWriter
 
GLRMOutput(GLRM) - Constructor for class hex.glrm.GLRMModel.GLRMOutput
 
GLRMParameters() - Constructor for class hex.glrm.GLRMModel.GLRMParameters
 
GLRMParametersV3() - Constructor for class hex.schemas.GLRMV3.GLRMParametersV3
 
GLRMV3 - Class in hex.schemas
 
GLRMV3() - Constructor for class hex.schemas.GLRMV3
 
GLRMV3.GLRMParametersV3 - Class in hex.schemas
 
gpu - Variable in class hex.schemas.DeepWaterV3.DeepWaterParametersV3
 
gradient(double[]) - Method in class hex.glm.GLM.GramSolver
 
gradient(double[]) - Method in class hex.glm.GLM.ProximalGradientSolver
 
gradient(double[]) - Method in interface hex.optimization.ADMM.ProximalSolver
 
gradient_epsilon - Variable in class hex.schemas.GLMV3.GLMParametersV3
 
gradientCheck - Static variable in class hex.deeplearning.DeepLearningModelInfo
 
gradientCheckBias - Static variable in class hex.deeplearning.DeepLearningModelInfo
 
GradientInfo(double, double[]) - Constructor for class hex.optimization.OptimizationUtils.GradientInfo
 
gram - Variable in class hex.glm.ComputationState.GramXY
 
Gram - Class in hex.gram
 
Gram(DataInfo) - Constructor for class hex.gram.Gram
 
Gram(int, int, int, int, boolean) - Constructor for class hex.gram.Gram
 
Gram(double[][]) - Constructor for class hex.gram.Gram
 
Gram.Cholesky - Class in hex.gram
 
Gram.CollinearColumnsException - Exception in hex.gram
 
Gram.GramTask - Class in hex.gram
Task to compute gram matrix normalized by the number of observations (not counting rows with NAs).
Gram.InPlaceCholesky - Class in hex.gram
 
Gram.NonSPDMatrixException - Exception in hex.gram
 
Gram.OuterGramTask - Class in hex.gram
Task to compute outer product of a matrix normalized by the number of observations (not counting rows with NAs).
GramSolver(Gram, double[], double, double, boolean) - Constructor for class hex.glm.GLM.GramSolver
 
GramSolver(Gram, double[], boolean, double, double, double[], double[], double[], double[]) - Constructor for class hex.glm.GLM.GramSolver
 
GramTask(Key<Job>, DataInfo) - Constructor for class hex.gram.Gram.GramTask
 
GramTask(Key<Job>, DataInfo, boolean, boolean) - Constructor for class hex.gram.Gram.GramTask
 
GramV3 - Class in hex.schemas
Created by tomas on 10/26/16.
GramV3() - Constructor for class hex.schemas.GramV3
 
GramXY(Gram, double[], double[], double[], int[], int[], double, double) - Constructor for class hex.glm.ComputationState.GramXY
 
Grep - Class in hex.grep
Grep model builder...
Grep(GrepModel.GrepParameters) - Constructor for class hex.grep.Grep
 
GrepModel - Class in hex.grep
 
GrepModel.GrepOutput - Class in hex.grep
 
GrepModel.GrepParameters - Class in hex.grep
 
GrepModelOutputV3() - Constructor for class hex.schemas.GrepModelV3.GrepModelOutputV3
 
GrepModelV3 - Class in hex.schemas
 
GrepModelV3() - Constructor for class hex.schemas.GrepModelV3
 
GrepModelV3.GrepModelOutputV3 - Class in hex.schemas
 
GrepOutput(Grep) - Constructor for class hex.grep.GrepModel.GrepOutput
 
GrepParameters() - Constructor for class hex.grep.GrepModel.GrepParameters
 
GrepParametersV3() - Constructor for class hex.schemas.GrepV3.GrepParametersV3
 
GrepV3 - Class in hex.schemas
 
GrepV3() - Constructor for class hex.schemas.GrepV3
 
GrepV3.GrepParametersV3 - Class in hex.schemas
 
gslvr() - Method in class hex.glm.ComputationState
 
gslvrMultinomial(int) - Method in class hex.glm.ComputationState
 

H

handlesSparseData() - Method in class hex.FrameTask2
 
handlesSparseData() - Method in class hex.glm.GLMTask.GLMIterationTask
 
hasBounds() - Method in class hex.glm.GLM.BetaConstraint
 
hasClosedForm(long) - Method in class hex.glrm.GLRM
 
hasGradient() - Method in class hex.glm.GLM.GramSolver
 
hasGradient() - Method in class hex.glm.GLM.ProximalGradientSolver
 
hasGradient() - Method in interface hex.optimization.ADMM.ProximalSolver
 
hash(byte[], int, int) - Method in class hex.deeplearning.MurmurHash
 
hashCode() - Method in class hex.deepwater.DeepWaterModelInfo
 
hasNaNsOrInf() - Method in class hex.glm.GLMTask.GLMIterationTask
 
hasNaNsOrInfs() - Method in class hex.gram.Gram
 
hasProximalPenalty() - Method in class hex.glm.GLM.BetaConstraint
 
hasPValues() - Method in class hex.glm.GLMModel.GLMOutput
 
haveBackend() - Static method in class hex.deepwater.DeepWater
Check whether we have any Deep Water native backends available
haveMojo() - Method in class hex.deeplearning.DeepLearning
 
haveMojo() - Method in class hex.deepwater.DeepWater
 
haveMojo() - Method in class hex.ensemble.StackedEnsemble
 
haveMojo() - Method in class hex.glm.GLM
 
haveMojo() - Method in class hex.glrm.GLRM
 
haveMojo() - Method in class hex.kmeans.KMeans
 
haveMojo() - Method in class hex.naivebayes.NaiveBayes
 
haveMojo() - Method in class hex.pca.PCA
 
haveMojo() - Method in class hex.svd.SVD
 
haveMojo() - Method in class hex.tree.SharedTree
 
haveMojo() - Method in class hex.word2vec.Word2Vec
 
havePojo() - Method in class hex.deeplearning.DeepLearning
 
havePojo() - Method in class hex.deepwater.DeepWater
 
havePojo() - Method in class hex.glm.GLM
 
havePojo() - Method in class hex.glrm.GLRM
 
havePojo() - Method in class hex.kmeans.KMeans
 
havePojo() - Method in class hex.naivebayes.NaiveBayes
 
havePojo() - Method in class hex.pca.PCA
 
havePojo() - Method in class hex.svd.SVD
 
havePojo() - Method in class hex.tree.SharedTree
 
hex - package hex
 
hex.aggregator - package hex.aggregator
 
hex.api - package hex.api
 
hex.coxph - package hex.coxph
 
hex.deeplearning - package hex.deeplearning
 
hex.deepwater - package hex.deepwater
 
hex.ensemble - package hex.ensemble
 
hex.example - package hex.example
 
hex.glm - package hex.glm
 
hex.glrm - package hex.glrm
 
hex.gram - package hex.gram
 
hex.grep - package hex.grep
 
hex.kmeans - package hex.kmeans
 
hex.naivebayes - package hex.naivebayes
 
hex.optimization - package hex.optimization
 
hex.pca - package hex.pca
 
hex.schemas - package hex.schemas
 
hex.splitframe - package hex.splitframe
 
hex.svd - package hex.svd
 
hex.tree - package hex.tree
 
hex.tree.drf - package hex.tree.drf
 
hex.tree.gbm - package hex.tree.gbm
 
hex.util - package hex.util
 
hex.word2vec - package hex.word2vec
 
hidden - Variable in class hex.schemas.DeepLearningV3.DeepLearningParametersV3
The number and size of each hidden layer in the model.
hidden - Variable in class hex.schemas.DeepWaterV3.DeepWaterParametersV3
The number and size of each hidden layer in the model.
hidden_dropout_ratios - Variable in class hex.schemas.DeepLearningV3.DeepLearningParametersV3
A fraction of the inputs for each hidden layer to be omitted from training in order to improve generalization.
hidden_dropout_ratios - Variable in class hex.schemas.DeepWaterV3.DeepWaterParametersV3
A fraction of the inputs for each hidden layer to be omitted from training in order to improve generalization.
histogram_type - Variable in class hex.schemas.SharedTreeV3.SharedTreeParametersV3
 
History(int, int) - Constructor for class hex.optimization.L_BFGS.History
 

I

idx_nids(int) - Method in class hex.tree.SharedTree
 
idx_offset() - Method in class hex.tree.SharedTree
 
idx_oobt() - Method in class hex.tree.SharedTree
 
idx_resp() - Method in class hex.tree.SharedTree
 
idx_tree(int) - Method in class hex.tree.SharedTree
 
idx_weight() - Method in class hex.tree.SharedTree
 
idx_work(int) - Method in class hex.tree.SharedTree
 
idx_xnew(int, int, int) - Static method in class hex.glrm.GLRM
 
idx_xold(int, int) - Static method in class hex.glrm.GLRM
 
idxs - Variable in class hex.glm.GLMModel.Submodel
 
ignoreBadColumns(int, boolean) - Method in class hex.word2vec.Word2Vec
 
ignoreInvalidColumns(int, boolean) - Method in class hex.tree.SharedTree
 
ignoreStringColumns() - Method in class hex.deepwater.DeepWater
 
image_shape - Variable in class hex.schemas.DeepWaterV3.DeepWaterParametersV3
 
imp(T) - Method in class hex.tree.drf.TreeMeasuresCollector.TreeMeasures
Compute variable importance with respect to given votes.
imp(TreeMeasuresCollector.TreeSSE) - Method in class hex.tree.drf.TreeMeasuresCollector.TreeSSE
 
imp(TreeMeasuresCollector.TreeVotes) - Method in class hex.tree.drf.TreeMeasuresCollector.TreeVotes
Compute variable importance with respect to given votes.
importance - Variable in class hex.schemas.GLRMModelV3.GLRMModelOutputV3
 
importance - Variable in class hex.schemas.PCAModelV3.PCAModelOutputV3
 
impute_missing - Variable in class hex.schemas.PCAV3.PCAParametersV3
 
impute_original - Variable in class hex.schemas.GLRMV3.GLRMParametersV3
 
imputeCat(Vec) - Static method in class hex.DataInfo
 
imputeCat(Vec, boolean) - Static method in class hex.DataInfo
 
incr0(int, double, double) - Method in class hex.tree.DHistogram
 
incr1(int, double, double) - Method in class hex.tree.DHistogram
 
init(boolean) - Method in class hex.aggregator.Aggregator
 
init(boolean) - Method in class hex.coxph.CoxPH
Initialize the ModelBuilder, validating all arguments and preparing the training frame.
init(boolean) - Method in class hex.deeplearning.DeepLearning
Initialize the ModelBuilder, validating all arguments and preparing the training frame.
init(Neurons[], int, DeepLearningModel.DeepLearningParameters, DeepLearningModelInfo, boolean) - Method in class hex.deeplearning.Neurons
Initialization of the parameters and connectivity of a Neuron layer
init(boolean) - Method in class hex.deepwater.DeepWater
Initialize the ModelBuilder, validating all arguments and preparing the training frame.
init(boolean) - Method in class hex.example.Example
Initialize the ModelBuilder, validating all arguments and preparing the training frame.
init(boolean) - Method in class hex.glm.GLM
 
init(boolean) - Method in class hex.glrm.GLRM
Validate all parameters, and prepare the model for training.
init(boolean) - Method in class hex.grep.Grep
Initialize the ModelBuilder, validating all arguments and preparing the training frame.
init(boolean) - Method in class hex.kmeans.KMeans
Initialize the ModelBuilder, validating all arguments and preparing the training frame.
init(boolean) - Method in class hex.naivebayes.NaiveBayes
 
init(boolean) - Method in class hex.pca.PCA
 
init - Variable in class hex.schemas.CoxPHV3.CoxPHParametersV3
 
init - Variable in class hex.schemas.GLRMV3.GLRMParametersV3
 
init - Variable in class hex.schemas.KMeansV3.KMeansParametersV3
 
init(boolean) - Method in class hex.svd.SVD
 
init() - Method in class hex.tree.DHistogram
 
init(double[]) - Method in class hex.tree.DHistogram
 
init(boolean) - Method in class hex.tree.drf.DRF
Initialize the ModelBuilder, validating all arguments and preparing the training frame.
init(boolean) - Method in class hex.tree.gbm.GBM
Initialize the ModelBuilder, validating all arguments and preparing the training frame.
init(boolean) - Method in class hex.tree.SharedTree
Initialize the ModelBuilder, validating all arguments and preparing the training frame.
init(boolean) - Method in class hex.word2vec.Word2Vec
Initialize the ModelBuilder, validating all arguments and preparing the training frame.
init_learning_rate - Variable in class hex.schemas.Word2VecV3.Word2VecParametersV3
 
init_step_size - Variable in class hex.schemas.GLRMV3.GLRMParametersV3
 
initial_biases - Variable in class hex.schemas.DeepLearningV3.DeepLearningParametersV3
 
initial_weight_distribution - Variable in class hex.schemas.DeepLearningV3.DeepLearningParametersV3
The distribution from which initial weights are to be drawn.
initial_weight_scale - Variable in class hex.schemas.DeepLearningV3.DeepLearningParametersV3
The scale of the distribution function for Uniform or Normal distributions.
initial_weights - Variable in class hex.schemas.DeepLearningV3.DeepLearningParametersV3
 
initialHist(Frame, int, int, DHistogram[], long, SharedTreeModel.SharedTreeParameters, Key[]) - Static method in class hex.tree.DHistogram
 
initializeModelSpecifics() - Method in class hex.tree.SharedTree.Driver
 
initStats(CoxPHModel, DataInfo) - Method in class hex.coxph.CoxPH.CoxPHDriver
 
innerProduct(double[]) - Method in class hex.DataInfo.Row
 
innerProduct(double[], boolean) - Method in class hex.DataInfo.Row
 
innerProductChunk(DataInfo.Row, DataInfo.Row, Chunk[], Chunk[]) - Method in class hex.gram.Gram.OuterGramTask
 
input_dropout_ratio - Variable in class hex.schemas.DeepLearningV3.DeepLearningParametersV3
A fraction of the features for each training row to be omitted from training in order to improve generalization (dimension sampling).
input_dropout_ratio - Variable in class hex.schemas.DeepWaterV3.DeepWaterParametersV3
A fraction of the features for each training row to be omitted from training in order to improve generalization (dimension sampling).
interaction_pairs - Variable in class hex.schemas.GLMV3.GLMParametersV3
 
interactions() - Method in class hex.glm.GLMModel.GLMOutput
 
interactions - Variable in class hex.schemas.DataInfoFrameV3
 
interactions - Variable in class hex.schemas.GLMV3.GLMParametersV3
 
interactions_only - Variable in class hex.schemas.DataInfoFrameV3
 
interactionSpec() - Method in class hex.glm.GLMModel.GLMParameters
 
intercept - Variable in class hex.schemas.GLMV3.GLMParametersV3
 
isAutoencoder() - Method in class hex.deeplearning.DeepLearningModel.DeepLearningModelOutput
 
isAutoencoder() - Method in class hex.deepwater.DeepWaterModelOutput
 
isBad() - Method in class hex.DataInfo.Row
 
isDecidedRow(int) - Static method in class hex.tree.ScoreBuildHistogram
 
isInteractionVec(int) - Method in class hex.DataInfo
 
isMeanAdjusted() - Method in enum hex.DataInfo.TransformType
 
isOOBRow(int) - Static method in class hex.tree.ScoreBuildHistogram
 
isRootNode(DTree.Node) - Static method in class hex.tree.DTree
 
isSigmaScaled() - Method in enum hex.DataInfo.TransformType
 
isSparse() - Method in class hex.DataInfo.Row
 
isSPD() - Method in class hex.gram.Gram.Cholesky
 
isSPD() - Method in class hex.gram.Gram.InPlaceCholesky
 
isStandardized() - Method in class hex.glm.GLMModel.GLMOutput
 
isSupervised() - Method in class hex.aggregator.Aggregator
 
isSupervised() - Method in class hex.coxph.CoxPH
 
isSupervised() - Method in class hex.deeplearning.DeepLearning
 
isSupervised() - Method in class hex.deeplearning.DeepLearningModel.DeepLearningModelOutput
 
isSupervised() - Method in class hex.deepwater.DeepWater
 
isSupervised() - Method in class hex.deepwater.DeepWaterModelOutput
 
isSupervised() - Method in class hex.ensemble.StackedEnsemble
 
isSupervised() - Method in class hex.example.Example
 
isSupervised() - Method in class hex.glm.GLM
 
isSupervised() - Method in class hex.glm.GLMModel.GLMOutput
 
isSupervised() - Method in class hex.glrm.GLRM
 
isSupervised() - Method in class hex.grep.Grep
 
isSupervised() - Method in class hex.naivebayes.NaiveBayes
 
isSupervised() - Method in class hex.pca.PCA
 
isSupervised() - Method in class hex.svd.SVD
 
isSupervised() - Method in class hex.tree.SharedTree
 
isSupervised() - Method in class hex.word2vec.Word2Vec
 
isUnstable() - Method in class hex.deeplearning.DeepLearningModelInfo
 
isValid() - Method in class hex.optimization.OptimizationUtils.GradientInfo
 
isValid() - Method in class hex.tree.TreeStats
 
iter() - Method in class hex.glm.GLM.GramSolver
 
iter() - Method in class hex.glm.GLM.ProximalGradientSolver
 
iter() - Method in interface hex.optimization.ADMM.ProximalSolver
 
iter - Variable in class hex.optimization.L_BFGS.Result
 
iter_max - Variable in class hex.schemas.CoxPHV3.CoxPHParametersV3
 
iteration - Variable in class hex.glm.GLMModel.Submodel
 
iterations - Variable in class hex.deeplearning.DeepLearningModel
 
iterations - Variable in class hex.deeplearning.DeepLearningScoringInfo
 
iterations() - Method in class hex.deeplearning.DeepLearningScoringInfo
 
iterations() - Method in class hex.deepwater.DeepWaterScoringInfo
 
iterations - Variable in class hex.schemas.ExampleModelV3.ExampleModelOutputV3
 
iterations - Variable in class hex.schemas.GLRMModelV3.GLRMModelOutputV3
 

J

javaName() - Method in class hex.aggregator.AggregatorModel.AggregatorParameters
 
javaName() - Method in class hex.coxph.CoxPHModel.CoxPHParameters
 
javaName() - Method in class hex.deeplearning.DeepLearningModel.DeepLearningParameters
 
javaName() - Method in class hex.deepwater.DeepWaterParameters
 
javaName() - Method in class hex.example.ExampleModel.ExampleParameters
 
javaName() - Method in class hex.glm.GLMModel.GLMParameters
 
javaName() - Method in class hex.glrm.GLRMModel.GLRMParameters
 
javaName() - Method in class hex.grep.GrepModel.GrepParameters
 
javaName() - Method in class hex.kmeans.KMeansModel.KMeansParameters
 
javaName() - Method in class hex.naivebayes.NaiveBayesModel.NaiveBayesParameters
 
javaName() - Method in class hex.pca.PCAModel.PCAParameters
 
javaName() - Method in class hex.StackedEnsembleModel.StackedEnsembleParameters
 
javaName() - Method in class hex.svd.SVDModel.SVDParameters
 
javaName() - Method in class hex.tree.drf.DRFModel.DRFParameters
 
javaName() - Method in class hex.tree.gbm.GBMModel.GBMParameters
 
javaName() - Method in class hex.word2vec.Word2VecModel.Word2VecParameters
 

K

k() - Method in class hex.optimization.L_BFGS
 
k - Variable in class hex.schemas.AggregatorV99.AggregatorParametersV99
 
k - Variable in class hex.schemas.GLRMV3.GLRMParametersV3
 
k - Variable in class hex.schemas.PCAV3.PCAParametersV3
 
keep_levelone_frame - Variable in class hex.schemas.StackedEnsembleV99.StackedEnsembleParametersV99
 
keep_u - Variable in class hex.schemas.SVDV99.SVDParametersV99
 
KMeans - Class in hex.kmeans
Scalable K-Means++ (KMeans||)
http://theory.stanford.edu/~sergei/papers/vldb12-kmpar.pdf
http://www.youtube.com/watch?v=cigXAxV3XcY
KMeans(KMeansModel.KMeansParameters) - Constructor for class hex.kmeans.KMeans
 
KMeans(KMeansModel.KMeansParameters, Job) - Constructor for class hex.kmeans.KMeans
 
KMeans(boolean) - Constructor for class hex.kmeans.KMeans
 
KMeans.Initialization - Enum in hex.kmeans
 
KMeansModel - Class in hex.kmeans
 
KMeansModel(Key, KMeansModel.KMeansParameters, KMeansModel.KMeansOutput) - Constructor for class hex.kmeans.KMeansModel
 
KMeansModel.KMeansOutput - Class in hex.kmeans
 
KMeansModel.KMeansParameters - Class in hex.kmeans
 
KMeansModelOutputV3() - Constructor for class hex.schemas.KMeansModelV3.KMeansModelOutputV3
 
KMeansModelV3 - Class in hex.schemas
 
KMeansModelV3() - Constructor for class hex.schemas.KMeansModelV3
 
KMeansModelV3.KMeansModelOutputV3 - Class in hex.schemas
 
KMeansMojoWriter - Class in hex.kmeans
 
KMeansMojoWriter() - Constructor for class hex.kmeans.KMeansMojoWriter
 
KMeansMojoWriter(KMeansModel) - Constructor for class hex.kmeans.KMeansMojoWriter
 
KMeansOutput(KMeans) - Constructor for class hex.kmeans.KMeansModel.KMeansOutput
 
KMeansParameters() - Constructor for class hex.kmeans.KMeansModel.KMeansParameters
 
KMeansParametersV3() - Constructor for class hex.schemas.KMeansV3.KMeansParametersV3
 
KMeansV3 - Class in hex.schemas
 
KMeansV3() - Constructor for class hex.schemas.KMeansV3
 
KMeansV3.KMeansParametersV3 - Class in hex.schemas
 

L

l - Variable in class hex.glm.GLMModel.GLMWeights
 
l1 - Variable in class hex.schemas.DeepLearningV3.DeepLearningParametersV3
A regularization method that constrains the absolute value of the weights and has the net effect of dropping some weights (setting them to zero) from a model to reduce complexity and avoid overfitting.
l1pen() - Method in class hex.glm.ComputationState
 
L1Solver(double, int, double[]) - Constructor for class hex.optimization.ADMM.L1Solver
 
L1Solver(double, int, double, double, double[]) - Constructor for class hex.optimization.ADMM.L1Solver
 
l2 - Variable in class hex.schemas.DeepLearningV3.DeepLearningParametersV3
A regularization method that constrains the sum of the squared weights.
l2pen() - Method in class hex.glm.ComputationState
 
L_BFGS - Class in hex.optimization
Created by tomasnykodym on 9/15/14.
L_BFGS() - Constructor for class hex.optimization.L_BFGS
 
L_BFGS.History - Class in hex.optimization
Keeps L-BFGS history ie curvature information recorded over the last m steps.
L_BFGS.ProgressMonitor - Interface in hex.optimization
Monitor progress and enable early termination.
L_BFGS.Result - Class in hex.optimization
 
lambda() - Method in class hex.glm.ComputationState
 
lambda - Variable in class hex.schemas.GLMV3.GLMParametersV3
 
lambda_1se() - Method in class hex.glm.GLMModel.GLMOutput
 
lambda_best() - Method in class hex.glm.GLMModel.GLMOutput
 
lambda_min_ratio - Variable in class hex.schemas.GLMV3.GLMParametersV3
 
lambda_search - Variable in class hex.schemas.GLMV3.GLMParametersV3
 
lambda_selected() - Method in class hex.glm.GLMModel.GLMOutput
 
lambda_value - Variable in class hex.glm.GLMModel.Submodel
 
lambdas - Variable in class hex.schemas.GLMRegularizationPathV3
 
laplace - Variable in class hex.schemas.NaiveBayesV3.NaiveBayesParametersV3
 
largestCat() - Method in class hex.DataInfo
 
last_scored() - Method in class hex.deeplearning.DeepLearningModel
 
last_scored() - Method in class hex.deepwater.DeepWaterModel
 
leaf(float) - Method in class hex.tree.TreeVisitor
 
LeafNode(DTree, int) - Constructor for class hex.tree.DTree.LeafNode
 
LeafNode(DTree, int, int) - Constructor for class hex.tree.DTree.LeafNode
 
learn_rate - Variable in class hex.schemas.GBMV3.GBMParametersV3
 
learn_rate_annealing - Variable in class hex.schemas.GBMV3.GBMParametersV3
 
learning_rate - Variable in class hex.schemas.DeepWaterV3.DeepWaterParametersV3
When adaptive learning rate is disabled, the magnitude of the weight updates are determined by the user specified learning rate (potentially annealed), and are a function of the difference between the predicted value and the target value.
learning_rate_annealing - Variable in class hex.schemas.DeepWaterV3.DeepWaterParametersV3
Learning rate annealing reduces the learning rate to "freeze" into local minima in the optimization landscape.
learningRate(double) - Method in class hex.deepwater.DeepWaterParameters
 
len() - Method in class hex.tree.DTree
 
levels - Variable in class hex.schemas.NaiveBayesModelV3.NaiveBayesModelOutputV3
 
likelihood - Variable in class hex.glm.ComputationState.GramXY
 
likelihood() - Method in class hex.glm.ComputationState
 
likelihood(double, double) - Method in class hex.glm.GLMModel.GLMParameters
 
likelihood(double, double) - Method in class hex.glm.GLMModel.GLMWeightsFun
 
likelihoodAndDeviance(double, GLMModel.GLMWeights, double) - Method in class hex.glm.GLMModel.GLMWeightsFun
 
Linear() - Constructor for class hex.deeplearning.Neurons.Linear
 
LinearAlgebraUtils - Class in hex.util
 
LinearAlgebraUtils() - Constructor for class hex.util.LinearAlgebraUtils
 
LinearAlgebraUtils.BMulInPlaceTask - Class in hex.util
Computes B = XY where X is n by k and Y is k by p, saving result in same frame Input: [X,B] (large frame) passed to doAll, where we write to B yt = Y' = transpose of Y (small matrix) ncolX = number of columns in X
LinearAlgebraUtils.BMulTask - Class in hex.util
Computes B = XY where X is n by k and Y is k by p, saving result in new vecs Input: dinfo = X (large frame) with dinfo._adaptedFrame passed to doAll yt = Y' = transpose of Y (small matrix) Output: XY (large frame) is n by p
LinearAlgebraUtils.ForwardSolve - Class in hex.util
Given lower triangular L, solve for Q in QL' = A (LQ' = A') using forward substitution Dimensions: A is n by p, Q is n by p, R = L' is p by p Input: [A,Q] (large frame) passed to doAll, where we write to Q
LinearAlgebraUtils.ForwardSolveInPlace - Class in hex.util
Given lower triangular L, solve for Q in QL' = A (LQ' = A') using forward substitution Dimensions: A is n by p, Q is n by p, R = L' is p by p Input: A (large frame) passed to doAll, where we overwrite each row of A with its row of Q
LinearAlgebraUtils.SMulTask - Class in hex.util
Computes A'Q where A is n by p and Q is n by k Input: [A,Q] (large frame) passed to doAll Output: atq = A'Q (small matrix) is \tilde{p} by k where \tilde{p} = number of cols in A with categoricals expanded
link(double) - Method in class hex.glm.GLMModel.GLMWeightsFun
 
link - Variable in class hex.schemas.GLMV3.GLMParametersV3
 
linkDeriv(double) - Method in class hex.glm.GLMModel.GLMParameters
 
linkDeriv(double) - Method in class hex.glm.GLMModel.GLMWeightsFun
 
linkInv(double) - Method in class hex.glm.GLMModel.GLMParameters
 
linkInv(double) - Method in class hex.glm.GLMModel.GLMWeightsFun
 
linkInvDeriv(double) - Method in class hex.glm.GLMModel.GLMParameters
 
lmulCatBlock(double[], int) - Method in class hex.glrm.GLRM.Archetypes
 
lmulNumCol(double[], int) - Method in class hex.glrm.GLRM.Archetypes
 
loading_name - Variable in class hex.schemas.GLRMV3.GLRMParametersV3
 
localModelInfoKey(H2ONode) - Method in class hex.deeplearning.DeepLearningModelInfo
 
loss - Variable in class hex.schemas.DeepLearningV3.DeepLearningParametersV3
The loss (error) function to be minimized by the model.
loss - Variable in class hex.schemas.GLRMV3.GLRMParametersV3
 
loss_by_col - Variable in class hex.schemas.GLRMV3.GLRMParametersV3
 
loss_by_col_idx - Variable in class hex.schemas.GLRMV3.GLRMParametersV3
 
lre_min - Variable in class hex.schemas.CoxPHV3.CoxPHParametersV3
 
LSTask(H2O.H2OCountedCompleter, DataInfo, Key) - Constructor for class hex.glm.GLMTask.LSTask
 

M

make(String, int, byte, double, double, long, SharedTreeModel.SharedTreeParameters, Key) - Static method in class hex.tree.DHistogram
 
make_model(int, MakeGLMModelV3) - Method in class hex.api.MakeGLMModelHandler
 
makeDecided(DTree.UndecidedNode, DHistogram[]) - Method in class hex.tree.SharedTree
 
MakeGLMModelHandler - Class in hex.api
Created by tomasnykodym on 3/25/15.
MakeGLMModelHandler() - Constructor for class hex.api.MakeGLMModelHandler
 
MakeGLMModelV3 - Class in hex.schemas
End point to update a model.
MakeGLMModelV3() - Constructor for class hex.schemas.MakeGLMModelV3
 
makeMetricBuilder(String[]) - Method in class hex.aggregator.AggregatorModel
 
makeMetricBuilder(String[]) - Method in class hex.coxph.CoxPHModel
 
makeMetricBuilder(String[]) - Method in class hex.deeplearning.DeepLearningModel
 
makeMetricBuilder(String[]) - Method in class hex.deepwater.DeepWaterModel
 
makeMetricBuilder(String[]) - Method in class hex.example.ExampleModel
 
makeMetricBuilder(String[]) - Method in class hex.glm.GLMModel
 
makeMetricBuilder(String[]) - Method in class hex.glrm.GLRMModel
 
makeMetricBuilder(String[]) - Method in class hex.grep.GrepModel
 
makeMetricBuilder(String[]) - Method in class hex.kmeans.KMeansModel
 
makeMetricBuilder(String[]) - Method in class hex.naivebayes.NaiveBayesModel
 
makeMetricBuilder(String[]) - Method in class hex.pca.PCAModel
 
makeMetricBuilder(String[]) - Method in class hex.StackedEnsembleModel
 
makeMetricBuilder(String[]) - Method in class hex.svd.SVDModel
 
makeMetricBuilder(String[]) - Method in class hex.tree.SharedTreeModel
 
makeMetricBuilder(String[]) - Method in class hex.word2vec.Word2VecModel
 
makeModel(Key<M>, P) - Method in class hex.tree.SharedTree.Driver
 
makeModelMetrics(Model, Frame, Frame, Frame) - Method in class hex.aggregator.ModelMetricsAggregator.AggregatorModelMetrics
 
makeModelMetrics(Model, Frame, Frame, Frame) - Method in class hex.glm.GLMMetricBuilder
 
makeModelMetrics(Model, Frame, Frame, Frame) - Method in class hex.glrm.ModelMetricsGLRM.GlrmModelMetricsBuilder
 
makeModelMetrics(Model, Frame, Frame, Frame) - Method in class hex.pca.ModelMetricsPCA.PCAModelMetrics
 
makeModelMetrics(Model, Frame, Frame, Frame) - Method in class hex.svd.SVDModel.ModelMetricsSVD.SVDModelMetrics
 
makeNeuronsForTesting(DeepLearningModelInfo) - Static method in class hex.deeplearning.DeepLearningTask
 
makeNeuronsForTraining(DeepLearningModelInfo) - Static method in class hex.deeplearning.DeepLearningTask
 
makeScoringNames() - Method in class hex.glm.GLMModel
 
makeTreeKey(int, int) - Static method in class hex.tree.CompressedTree
 
makeUndecidedNode(DHistogram[]) - Method in class hex.tree.DTree.DecidedNode
 
makeValidWorkspace() - Method in class hex.tree.SharedTree.Driver
 
map(Chunk[], NewChunk[]) - Method in class hex.deepwater.DeepWaterTask
 
map(Chunk[]) - Method in class hex.FrameTask.ExtractDenseRow
 
map(Chunk[], NewChunk[]) - Method in class hex.FrameTask
Extracts the values, applies regularization to numerics, adds appropriate offsets to categoricals, and adapts response according to the CaseMode/CaseValue if set.
map(Chunk[]) - Method in class hex.FrameTask2
 
map(Chunk[], NewChunk[]) - Method in class hex.glm.GLMScore
 
map(Chunk[]) - Method in class hex.glm.GLMTask.GLMCoordinateDescentTaskSeqIntercept
 
map(Chunk[]) - Method in class hex.glm.GLMTask.GLMCoordinateDescentTaskSeqNaive
 
map(Chunk[]) - Method in class hex.glm.GLMTask.GLMGenerateWeightsTask
 
map(Chunk[]) - Method in class hex.glm.GLMTask.GLMMultinomialUpdate
 
map(Chunk[]) - Method in class hex.glm.GLMTask.YMUTask
 
map(Chunk[]) - Method in class hex.glrm.GLRM.updateXVecs
 
map(Chunk[]) - Method in class hex.gram.Gram.OuterGramTask
 
map(Chunk[]) - Method in class hex.tree.drf.TreeMeasuresCollector
 
map(Chunk, Chunk) - Method in class hex.tree.drf.TreeMeasuresCollector.ShuffleTask
 
map(Chunk[]) - Method in class hex.tree.gbm.GBM.DiffMinusMedianDiff
 
map(Chunk[]) - Method in class hex.tree.ReconstructTreeState
 
map(Chunk, Chunk) - Method in class hex.tree.Sample
 
map(Chunk[]) - Method in class hex.tree.Score
 
map(Chunk[]) - Method in class hex.tree.ScoreBuildHistogram
 
map(Chunk[]) - Method in class hex.tree.ScoreBuildHistogram2
 
map(Chunk[]) - Method in class hex.util.LinearAlgebraUtils.BMulInPlaceTask
 
map(Chunk[]) - Method in class hex.util.LinearAlgebraUtils.ForwardSolve
 
map(Chunk[]) - Method in class hex.util.LinearAlgebraUtils.ForwardSolveInPlace
 
map(Chunk[]) - Method in class hex.util.LinearAlgebraUtils.SMulTask
 
map(Chunk) - Method in class hex.word2vec.WordCountTask
 
map(Chunk[]) - Method in class hex.word2vec.WordVectorConverter
 
map(Chunk) - Method in class hex.word2vec.WordVectorTrainer
 
mapNames(String[]) - Method in class hex.DataInfo
 
mapping_frame - Variable in class hex.schemas.AggregatorModelV99.AggregatorModelOutputV99
 
match(double[], int[]) - Method in class hex.glm.ComputationState.GramXY
 
matches - Variable in class hex.schemas.GrepModelV3.GrepModelOutputV3
 
max_abs_leafnode_pred - Variable in class hex.schemas.GBMV3.GBMParametersV3
 
max_active_predictors - Variable in class hex.schemas.GLMV3.GLMParametersV3
 
max_after_balance_size - Variable in class hex.schemas.DeepLearningV3.DeepLearningParametersV3
When classes are balanced, limit the resulting dataset size to the specified multiple of the original dataset size.
max_after_balance_size - Variable in class hex.schemas.DeepWaterV3.DeepWaterParametersV3
When classes are balanced, limit the resulting dataset size to the specified multiple of the original dataset size.
max_after_balance_size - Variable in class hex.schemas.GLMV3.GLMParametersV3
When classes are balanced, limit the resulting dataset size to the specified multiple of the original dataset size.
max_after_balance_size - Variable in class hex.schemas.NaiveBayesV3.NaiveBayesParametersV3
When classes are balanced, limit the resulting dataset size to the specified multiple of the original dataset size.
max_after_balance_size - Variable in class hex.schemas.SharedTreeV3.SharedTreeParametersV3
When classes are balanced, limit the resulting dataset size to the specified multiple of the original dataset size.
max_categorical_features - Variable in class hex.schemas.DeepLearningV3.DeepLearningParametersV3
 
max_confusion_matrix_size - Variable in class hex.schemas.DeepLearningV3.DeepLearningParametersV3
For classification models, the maximum size (in terms of classes) of the confusion matrix for it to be printed.
max_confusion_matrix_size - Variable in class hex.schemas.DeepWaterV3.DeepWaterParametersV3
For classification models, the maximum size (in terms of classes) of the confusion matrix for it to be printed.
max_confusion_matrix_size - Variable in class hex.schemas.GLMV3.GLMParametersV3
For classification models, the maximum size (in terms of classes) of the confusion matrix for it to be printed.
max_confusion_matrix_size - Variable in class hex.schemas.NaiveBayesV3.NaiveBayesParametersV3
For classification models, the maximum size (in terms of classes) of the confusion matrix for it to be printed.
max_confusion_matrix_size - Variable in class hex.schemas.SharedTreeV3.SharedTreeParametersV3
For classification models, the maximum size (in terms of classes) of the confusion matrix for it to be printed.
max_depth - Variable in class hex.schemas.SharedTreeV3.SharedTreeParametersV3
 
max_depth - Variable in class hex.schemas.TreeStatsV3
 
max_hit_ratio_k - Variable in class hex.schemas.DeepLearningV3.DeepLearningParametersV3
The maximum number (top K) of predictions to use for hit ratio computation (for multi-class only, 0 to disable)
max_hit_ratio_k - Variable in class hex.schemas.DeepWaterV3.DeepWaterParametersV3
The maximum number (top K) of predictions to use for hit ratio computation (for multi-class only, 0 to disable)
max_hit_ratio_k - Variable in class hex.schemas.GLMV3.GLMParametersV3
The maximum number (top K) of predictions to use for hit ratio computation (for multi-class only, 0 to disable)
max_hit_ratio_k - Variable in class hex.schemas.NaiveBayesV3.NaiveBayesParametersV3
The maximum number (top K) of predictions to use for hit ratio computation (for multi-class only, 0 to disable)
max_hit_ratio_k - Variable in class hex.schemas.SharedTreeV3.SharedTreeParametersV3
The maximum number (top K) of predictions to use for hit ratio computation (for multi-class only, 0 to disable)
max_iterations - Variable in class hex.schemas.AggregatorV99.AggregatorParametersV99
 
max_iterations - Variable in class hex.schemas.ExampleV3.ExampleParametersV3
 
max_iterations - Variable in class hex.schemas.GLMV3.GLMParametersV3
 
max_iterations - Variable in class hex.schemas.GLRMV3.GLRMParametersV3
 
max_iterations - Variable in class hex.schemas.KMeansV3.KMeansParametersV3
 
max_iterations - Variable in class hex.schemas.PCAV3.PCAParametersV3
 
max_iterations - Variable in class hex.schemas.SVDV99.SVDParametersV99
 
max_leaves - Variable in class hex.schemas.TreeStatsV3
 
MAX_NTREES - Static variable in class hex.tree.SharedTree
 
max_updates - Variable in class hex.schemas.GLRMV3.GLRMParametersV3
 
max_w2 - Variable in class hex.schemas.DeepLearningV3.DeepLearningParametersV3
A maximum on the sum of the squared incoming weights into any one neuron.
maxIter() - Method in class hex.optimization.L_BFGS
 
Maxout(DeepLearningModel.DeepLearningParameters, short, int) - Constructor for class hex.deeplearning.Neurons.Maxout
 
MaxoutDropout(DeepLearningModel.DeepLearningParameters, short, int) - Constructor for class hex.deeplearning.Neurons.MaxoutDropout
 
maxs - Variable in class hex.schemas.ExampleModelV3.ExampleModelOutputV3
 
mean_a - Variable in class hex.deeplearning.DeepLearningModelInfo
 
mean_depth - Variable in class hex.schemas.TreeStatsV3
 
mean_image_file - Variable in class hex.schemas.DeepWaterV3.DeepWaterParametersV3
 
mean_leaves - Variable in class hex.schemas.TreeStatsV3
 
meanLoss(DataInfo.Row[]) - Method in class hex.deeplearning.DeepLearningModel
Compute the loss function
messages - Variable in class hex.optimization.OptimizationUtils.MoreThuente
 
metalearner_algorithm - Variable in class hex.schemas.StackedEnsembleV99.StackedEnsembleParametersV99
 
metalearner_fold_assignment - Variable in class hex.schemas.StackedEnsembleV99.StackedEnsembleParametersV99
 
metalearner_fold_column - Variable in class hex.schemas.StackedEnsembleV99.StackedEnsembleParametersV99
 
metalearner_nfolds - Variable in class hex.schemas.StackedEnsembleV99.StackedEnsembleParametersV99
 
metalearner_params - Variable in class hex.schemas.StackedEnsembleV99.StackedEnsembleParametersV99
 
mid(int, float, int) - Method in class hex.tree.TreeVisitor
 
min_depth - Variable in class hex.schemas.TreeStatsV3
 
min_leaves - Variable in class hex.schemas.TreeStatsV3
 
min_prob - Variable in class hex.schemas.NaiveBayesV3.NaiveBayesParametersV3
 
min_rows - Variable in class hex.schemas.SharedTreeV3.SharedTreeParametersV3
 
min_sdev - Variable in class hex.schemas.NaiveBayesV3.NaiveBayesParametersV3
 
min_split_improvement - Variable in class hex.schemas.SharedTreeV3.SharedTreeParametersV3
 
min_step_size - Variable in class hex.schemas.GLRMV3.GLRMParametersV3
 
min_word_freq - Variable in class hex.schemas.Word2VecV3.Word2VecParametersV3
 
mini_batch_size - Variable in class hex.schemas.DeepLearningV3.DeepLearningParametersV3
 
mini_batch_size - Variable in class hex.schemas.DeepWaterV3.DeepWaterParametersV3
 
MISSING_RESPONSE - Static variable in class hex.tree.ScoreBuildHistogram
Marker for rows without a response
missing_values_handling - Variable in class hex.schemas.DeepLearningV3.DeepLearningParametersV3
 
missing_values_handling - Variable in class hex.schemas.GLMV3.GLMParametersV3
 
missingColumnsType() - Method in class hex.deeplearning.DeepLearningModel.DeepLearningParameters
 
model - Variable in class hex.schemas.GLMRegularizationPathV3
 
model - Variable in class hex.schemas.MakeGLMModelV3
 
model - Variable in class hex.schemas.Word2VecSynonymsV3
 
model - Variable in class hex.schemas.Word2VecTransformV3
 
model_info() - Method in class hex.deeplearning.DeepLearningModel
 
model_info() - Method in class hex.deeplearning.DeepLearningTask
Accessor to the object containing the (final) state of the Deep Learning model Should only be queried after calling this.doAll(Frame training)
model_info() - Method in class hex.deeplearning.DeepLearningTask2
Returns the aggregated DeepLearning model that was trained by all nodes (over all the training data)
model_info() - Method in class hex.deepwater.DeepWaterModel
 
model_info() - Method in class hex.deepwater.DeepWaterTask
Accessor to the object containing the (final) state of the Deep Learning model Should only be queried after calling this.doAll(Frame training)
model_info_key - Variable in class hex.deeplearning.DeepLearningModel
 
modelCategory - Variable in class hex.StackedEnsembleModel
 
ModelMetricsAggregator - Class in hex.aggregator
 
ModelMetricsAggregator(Model, Frame, CustomMetric) - Constructor for class hex.aggregator.ModelMetricsAggregator
 
ModelMetricsAggregator.AggregatorModelMetrics - Class in hex.aggregator
 
ModelMetricsGLRM - Class in hex.glrm
 
ModelMetricsGLRM(Model, Frame, double, double, CustomMetric) - Constructor for class hex.glrm.ModelMetricsGLRM
 
ModelMetricsGLRM(Model, Frame, double, double, long, long, CustomMetric) - Constructor for class hex.glrm.ModelMetricsGLRM
 
ModelMetricsGLRM.GlrmModelMetricsBuilder - Class in hex.glrm
 
ModelMetricsGLRMV99 - Class in water.api
 
ModelMetricsGLRMV99() - Constructor for class water.api.ModelMetricsGLRMV99
 
ModelMetricsPCA - Class in hex.pca
 
ModelMetricsPCA(Model, Frame, CustomMetric) - Constructor for class hex.pca.ModelMetricsPCA
 
ModelMetricsPCA.PCAModelMetrics - Class in hex.pca
 
ModelMetricsPCAV3 - Class in water.api
 
ModelMetricsPCAV3() - Constructor for class water.api.ModelMetricsPCAV3
 
ModelMetricsSVD(Model, Frame, CustomMetric) - Constructor for class hex.svd.SVDModel.ModelMetricsSVD
 
ModelMetricsSVDV99 - Class in water.api
 
ModelMetricsSVDV99() - Constructor for class water.api.ModelMetricsSVDV99
 
modifiesVolatileVecs() - Method in class hex.tree.Score
 
mojoVersion() - Method in class hex.deeplearning.DeepLearningMojoWriter
 
mojoVersion() - Method in class hex.deepwater.DeepwaterMojoWriter
 
mojoVersion() - Method in class hex.ensemble.StackedEnsembleMojoWriter
 
mojoVersion() - Method in class hex.glm.GLMMojoWriter
 
mojoVersion() - Method in class hex.glrm.GlrmMojoWriter
 
mojoVersion() - Method in class hex.kmeans.KMeansMojoWriter
 
mojoVersion() - Method in class hex.tree.drf.DrfMojoWriter
 
mojoVersion() - Method in class hex.tree.gbm.GbmMojoWriter
 
mojoVersion() - Method in class hex.word2vec.Word2VecMojoWriter
 
momentum() - Method in class hex.deeplearning.Neurons
 
momentum(double) - Method in class hex.deeplearning.Neurons
The momentum - real number in [0, 1) Can be a linear ramp from momentum_start to momentum_stable, over momentum_ramp training samples
momentum(double) - Method in class hex.deepwater.DeepWaterParameters
 
momentum_ramp - Variable in class hex.schemas.DeepLearningV3.DeepLearningParametersV3
The momentum_ramp parameter controls the amount of learning for which momentum increases (assuming momentum_stable is larger than momentum_start).
momentum_ramp - Variable in class hex.schemas.DeepWaterV3.DeepWaterParametersV3
The momentum_ramp parameter controls the amount of learning for which momentum increases (assuming momentum_stable is larger than momentum_start).
momentum_stable - Variable in class hex.schemas.DeepLearningV3.DeepLearningParametersV3
The momentum_stable parameter controls the final momentum value reached after momentum_ramp training samples.
momentum_stable - Variable in class hex.schemas.DeepWaterV3.DeepWaterParametersV3
The momentum_stable parameter controls the final momentum value reached after momentum_ramp training samples.
momentum_start - Variable in class hex.schemas.DeepLearningV3.DeepLearningParametersV3
The momentum_start parameter controls the amount of momentum at the beginning of training.
momentum_start - Variable in class hex.schemas.DeepWaterV3.DeepWaterParametersV3
The momentum_start parameter controls the amount of momentum at the beginning of training.
MoreThuente(OptimizationUtils.GradientSolver, double[]) - Constructor for class hex.optimization.OptimizationUtils.MoreThuente
 
MoreThuente(OptimizationUtils.GradientSolver, double[], OptimizationUtils.GradientInfo) - Constructor for class hex.optimization.OptimizationUtils.MoreThuente
 
MoreThuente(OptimizationUtils.GradientSolver, double[], OptimizationUtils.GradientInfo, double, double, double) - Constructor for class hex.optimization.OptimizationUtils.MoreThuente
 
mtries - Variable in class hex.schemas.DRFV3.DRFParametersV3
 
mtrxMul(double[][], double[]) - Method in class hex.DataInfo.Row
 
mu - Variable in class hex.glm.GLMModel.GLMWeights
 
mul(double) - Method in class hex.gram.Gram
 
mul(double[]) - Method in class hex.gram.Gram
 
mul(double[], double[]) - Method in class hex.gram.Gram
 
mult(double) - Method in class hex.deeplearning.DeepLearningModelInfo
Multiply all weights/biases by a real-valued number
mult(double) - Method in class hex.deepwater.DeepWaterModelInfo
 
multi_loss - Variable in class hex.schemas.GLRMV3.GLRMParametersV3
 
MurmurHash - Class in hex.deeplearning
This is a very fast, non-cryptographic hash suitable for general hash-based lookup.
MurmurHash() - Constructor for class hex.deeplearning.MurmurHash
 

N

n - Variable in class hex.coxph.CoxPH.CoxPHTask
 
NaiveBayes - Class in hex.naivebayes
Naive Bayes This is an algorithm for computing the conditional a-posterior probabilities of a categorical response from independent predictors using Bayes rule.
NaiveBayes(NaiveBayesModel.NaiveBayesParameters) - Constructor for class hex.naivebayes.NaiveBayes
 
NaiveBayes(boolean) - Constructor for class hex.naivebayes.NaiveBayes
 
NaiveBayesModel - Class in hex.naivebayes
 
NaiveBayesModel(Key, NaiveBayesModel.NaiveBayesParameters, NaiveBayesModel.NaiveBayesOutput) - Constructor for class hex.naivebayes.NaiveBayesModel
 
NaiveBayesModel.NaiveBayesOutput - Class in hex.naivebayes
 
NaiveBayesModel.NaiveBayesParameters - Class in hex.naivebayes
 
NaiveBayesModelOutputV3() - Constructor for class hex.schemas.NaiveBayesModelV3.NaiveBayesModelOutputV3
 
NaiveBayesModelV3 - Class in hex.schemas
 
NaiveBayesModelV3() - Constructor for class hex.schemas.NaiveBayesModelV3
 
NaiveBayesModelV3.NaiveBayesModelOutputV3 - Class in hex.schemas
 
NaiveBayesOutput(NaiveBayes) - Constructor for class hex.naivebayes.NaiveBayesModel.NaiveBayesOutput
 
NaiveBayesParameters() - Constructor for class hex.naivebayes.NaiveBayesModel.NaiveBayesParameters
 
NaiveBayesParametersV3() - Constructor for class hex.schemas.NaiveBayesV3.NaiveBayesParametersV3
 
NaiveBayesV3 - Class in hex.schemas
 
NaiveBayesV3() - Constructor for class hex.schemas.NaiveBayesV3
 
NaiveBayesV3.NaiveBayesParametersV3 - Class in hex.schemas
 
names() - Method in class hex.glm.GLMModel
 
names - Variable in class hex.schemas.MakeGLMModelV3
 
nargs() - Method in class water.rapids.prims.word2vec.AstWord2VecToFrame
 
nBins - Variable in class hex.DataInfo.Row
 
nbins - Variable in class hex.schemas.SharedTreeV3.SharedTreeParametersV3
 
nbins() - Method in class hex.tree.DHistogram
 
nbins_cats - Variable in class hex.schemas.SharedTreeV3.SharedTreeParametersV3
 
nbins_top_level - Variable in class hex.schemas.SharedTreeV3.SharedTreeParametersV3
 
nclasses() - Method in class hex.glm.GLM
 
nclasses() - Method in class hex.glm.GLMModel.GLMOutput
 
nclasses() - Method in class hex.tree.gbm.GBMModel.GBMOutput
 
needsPostProcess() - Method in class hex.glm.GLMModel
 
nesterov_accelerated_gradient - Variable in class hex.schemas.DeepLearningV3.DeepLearningParametersV3
The Nesterov accelerated gradient descent method is a modification to traditional gradient descent for convex functions.
network - Variable in class hex.schemas.DeepWaterV3.DeepWaterParametersV3
 
network_definition_file - Variable in class hex.schemas.DeepWaterV3.DeepWaterParametersV3
 
network_parameters_file - Variable in class hex.schemas.DeepWaterV3.DeepWaterParametersV3
 
Neurons - Class in hex.deeplearning
This class implements the concept of a Neuron layer in a Neural Network During training, every MRTask F/J thread is expected to create these neurons for every map call (Cheap to make).
Neurons.ExpRectifier - Class in hex.deeplearning
 
Neurons.ExpRectifierDropout - Class in hex.deeplearning
Exponential Rectifier with dropout
Neurons.Input - Class in hex.deeplearning
Input layer of the Neural Network This layer is different from other layers as it has no incoming weights, but instead gets its activation values from the training points.
Neurons.Linear - Class in hex.deeplearning
Output neurons for regression - Linear units
Neurons.Maxout - Class in hex.deeplearning
Maxout neurons (picks the max out of the k activation_j = sum(A_ij*x_i) + b_j) Requires k times the model parameters (weights/biases) as a "normal" neuron
Neurons.MaxoutDropout - Class in hex.deeplearning
Maxout neurons with dropout
Neurons.Output - Class in hex.deeplearning
Abstract class for Output neurons
Neurons.Rectifier - Class in hex.deeplearning
Rectifier linear unit (ReLU) neurons
Neurons.RectifierDropout - Class in hex.deeplearning
Rectifier linear unit (ReLU) neurons with dropout
Neurons.Softmax - Class in hex.deeplearning
Output neurons for classification - Softmax
Neurons.Tanh - Class in hex.deeplearning
Tanh neurons - most common, most stable
Neurons.TanhDropout - Class in hex.deeplearning
Tanh neurons with dropout
newDenseRow() - Method in class hex.DataInfo
 
newDenseRow(double[], long) - Method in class hex.DataInfo
 
nextLevelHistos(DHistogram[], int, double, SharedTreeModel.SharedTreeParameters) - Method in class hex.tree.DTree.Split
Prepare children histograms, one per column.
nextNumericIdx(int) - Method in class hex.DataInfo
Get the next expanded number-column index.
nfeatures() - Method in class hex.aggregator.AggregatorModel.AggregatorOutput
 
nfeatures() - Method in class hex.glrm.GLRM.Archetypes
 
nfeatures() - Method in class hex.glrm.GLRMModel.GLRMOutput
Override because base class implements ncols-1 for features with the last column as a response variable; for GLRM all the columns are features.
nfeatures() - Method in class hex.pca.PCAModel.PCAOutput
Override because base class implements ncols-1 for features with the last column as a response variable; for PCA all the columns are features.
nfeval() - Method in interface hex.optimization.OptimizationUtils.LineSearchSolver
 
nfeval() - Method in class hex.optimization.OptimizationUtils.MoreThuente
 
nfeval() - Method in class hex.optimization.OptimizationUtils.SimpleBacktrackingLS
 
nid() - Method in class hex.tree.DTree.Node
 
nid2Oob(int) - Static method in class hex.tree.ScoreBuildHistogram
 
nids0Index - Variable in class hex.tree.SharedTree.FrameMap
 
nlambdas - Variable in class hex.schemas.GLMV3.GLMParametersV3
 
nModelsInParallel() - Method in class hex.deeplearning.DeepLearning
 
nModelsInParallel() - Method in class hex.deepwater.DeepWater
 
nModelsInParallel() - Method in class hex.tree.gbm.GBM
 
nNums - Variable in class hex.DataInfo.Row
 
NO_PARENT - Static variable in class hex.tree.DTree
 
nobs() - Method in class hex.glm.GLMTask.YMUTask
 
node(int) - Method in class hex.tree.DTree
 
non_negative - Variable in class hex.schemas.GLMV3.GLMParametersV3
 
NonSPDMatrixException() - Constructor for exception hex.gram.Gram.NonSPDMatrixException
 
NonSPDMatrixException(String) - Constructor for exception hex.gram.Gram.NonSPDMatrixException
 
norm_model - Variable in class hex.schemas.Word2VecV3.Word2VecParametersV3
 
normMul(int) - Method in class hex.DataInfo
 
normSub(int) - Method in class hex.DataInfo
 
nOutpus - Variable in class hex.DataInfo.Row
 
npredictors() - Method in class hex.tree.drf.TreeMeasuresCollector.TreeMeasures
Returns number of voting predictors
nrows() - Method in class hex.tree.drf.TreeMeasuresCollector.TreeMeasures
Returns number of rows which were used during voting per individual tree.
ntrees - Variable in class hex.schemas.SharedTreeV3.SharedTreeParametersV3
 
ntrees() - Method in class hex.tree.CompressedForest
 
ntrees() - Method in class hex.tree.DTreeScorer
 
nullDOF() - Method in class hex.glm.GLMMetricBuilder
 
numCats() - Method in class hex.DataInfo
 
numcnt - Variable in class water.api.ModelMetricsGLRMV99
 
numColsExp(Frame, boolean) - Static method in class hex.util.LinearAlgebraUtils
Number of columns with categoricals expanded.
numerr - Variable in class water.api.ModelMetricsGLRMV99
 
numIds - Variable in class hex.DataInfo.Row
 
numNums() - Method in class hex.DataInfo
 
numStart() - Method in class hex.DataInfo
 
numVals - Variable in class hex.DataInfo.Row
 
nv - Variable in class hex.schemas.SVDV99.SVDParametersV99
 

O

obj_reg - Variable in class hex.schemas.GLMV3.GLMParametersV3
 
objective() - Method in class hex.glm.ComputationState
 
objective(double[], double) - Method in class hex.glm.ComputationState
 
objective - Variable in class hex.schemas.GLRMModelV3.GLRMModelOutputV3
 
objective - Variable in class hex.schemas.PCAModelV3.PCAModelOutputV3
 
objective_epsilon - Variable in class hex.schemas.GLMV3.GLMParametersV3
 
offset - Variable in class hex.DataInfo.Row
 
offsetChunkId() - Method in class hex.DataInfo
 
offsetIndex - Variable in class hex.tree.SharedTree.FrameMap
 
offsets - Variable in class hex.schemas.GrepModelV3.GrepModelOutputV3
 
oneHot(Frame, Model.InteractionSpec, boolean, boolean, boolean, boolean) - Static method in class hex.api.MakeGLMModelHandler
 
onExceptionalCompletion(Throwable, CountedCompleter) - Method in class hex.glm.GLM.GLMDriver
 
oob2Nid(int) - Static method in class hex.tree.ScoreBuildHistogram
 
oobtIndex - Variable in class hex.tree.SharedTree.FrameMap
 
OptimizationUtils - Class in hex.optimization
Created by tomasnykodym on 9/29/15.
OptimizationUtils() - Constructor for class hex.optimization.OptimizationUtils
 
OptimizationUtils.GradientInfo - Class in hex.optimization
 
OptimizationUtils.GradientSolver - Interface in hex.optimization
Provides ginfo computation and line search evaluation specific to given problem.
OptimizationUtils.LineSearchSolver - Interface in hex.optimization
 
OptimizationUtils.MoreThuente - Class in hex.optimization
 
OptimizationUtils.SimpleBacktrackingLS - Class in hex.optimization
 
OUT_OF_BAG - Static variable in class hex.tree.ScoreBuildHistogram
Marker for sampled out rows
OuterGramTask(Key<Job>, DataInfo) - Constructor for class hex.gram.Gram.OuterGramTask
 
output_frame - Variable in class hex.schemas.AggregatorModelV99.AggregatorModelOutputV99
 
outputChunkId() - Method in class hex.DataInfo
 
outputChunkId(int) - Method in class hex.DataInfo
 
overwrite_with_best_model - Variable in class hex.schemas.DeepLearningV3.DeepLearningParametersV3
If enabled, store the best model under the destination key of this model at the end of training.
overwrite_with_best_model - Variable in class hex.schemas.DeepWaterV3.DeepWaterParametersV3
If enabled, store the best model under the destination key of this model at the end of training.
own_fields - Static variable in class hex.schemas.ExampleV3.ExampleParametersV3
 
own_fields - Static variable in class hex.schemas.GrepV3.GrepParametersV3
 

P

parameters - Variable in class hex.deeplearning.DeepLearningModelInfo
 
parameters - Variable in class hex.deepwater.DeepWaterModelInfo
 
params - Variable in class hex.deeplearning.Neurons
Parameters (deep-cloned() from the user input, can be modified here, e.g.
PCA - Class in hex.pca
Principal Components Analysis It computes the principal components from the singular value decomposition using the power method.
PCA(PCAModel.PCAParameters) - Constructor for class hex.pca.PCA
 
PCA(boolean) - Constructor for class hex.pca.PCA
 
pca_method - Variable in class hex.schemas.AggregatorV99.AggregatorParametersV99
 
pca_method - Variable in class hex.schemas.PCAV3.PCAParametersV3
 
PCAModel - Class in hex.pca
 
PCAModel(Key, PCAModel.PCAParameters, PCAModel.PCAOutput) - Constructor for class hex.pca.PCAModel
 
PCAModel.PCAOutput - Class in hex.pca
 
PCAModel.PCAParameters - Class in hex.pca
 
PCAModel.PCAParameters.Method - Enum in hex.pca
 
PCAModelMetrics(int) - Constructor for class hex.pca.ModelMetricsPCA.PCAModelMetrics
 
PCAModelOutputV3() - Constructor for class hex.schemas.PCAModelV3.PCAModelOutputV3
 
PCAModelV3 - Class in hex.schemas
 
PCAModelV3() - Constructor for class hex.schemas.PCAModelV3
 
PCAModelV3.PCAModelOutputV3 - Class in hex.schemas
 
PCAOutput(PCA) - Constructor for class hex.pca.PCAModel.PCAOutput
 
PCAParameters() - Constructor for class hex.pca.PCAModel.PCAParameters
 
PCAParametersV3() - Constructor for class hex.schemas.PCAV3.PCAParametersV3
 
PCAV3 - Class in hex.schemas
 
PCAV3() - Constructor for class hex.schemas.PCAV3
 
PCAV3.PCAParametersV3 - Class in hex.schemas
 
pcond - Variable in class hex.schemas.NaiveBayesModelV3.NaiveBayesModelOutputV3
 
period - Variable in class hex.schemas.GLRMV3.GLRMParametersV3
 
perRow(double[], float[], Model) - Method in class hex.aggregator.ModelMetricsAggregator.AggregatorModelMetrics
 
perRow(double[], float[], Model) - Method in class hex.glm.GLMMetricBuilder
 
perRow(double[], float[], double, double, Model) - Method in class hex.glm.GLMMetricBuilder
 
perRow(double[], float[], Model) - Method in class hex.glrm.ModelMetricsGLRM.GlrmModelMetricsBuilder
 
perRow(double[], float[], Model) - Method in class hex.pca.ModelMetricsPCA.PCAModelMetrics
 
perRow(double[], float[], Model) - Method in class hex.svd.SVDModel.ModelMetricsSVD.SVDModelMetrics
 
pickBestModel() - Method in class hex.glm.GLMModel.GLMOutput
 
pid() - Method in class hex.tree.DTree.Node
 
post(int, float, int) - Method in class hex.tree.TreeVisitor
 
postGlobal() - Method in class hex.coxph.CoxPH.CoxPHTask
 
postGlobal() - Method in class hex.deeplearning.DeepLearningTask
After all reduces are done, the driver node calls this method to clean up This is only needed if we're not inside a DeepLearningTask2 (which will do the reduction between replicated data workers).
postGlobal() - Method in class hex.deeplearning.DeepLearningTask2
Finish up the work after all nodes have reduced their models via the above reduce() method.
postGlobal() - Method in class hex.deepwater.DeepWaterTask
After all reduces are done, the driver node calls this method to clean up This is only needed if we're not inside a DeepWaterTask2 (which will do the reduction between replicated data workers).
postGlobal() - Method in class hex.glm.GLMScore
 
postGlobal() - Method in class hex.glm.GLMTask.LSTask
 
postGlobal() - Method in class hex.glm.GLMTask.YMUTask
 
postGlobal() - Method in class hex.tree.Score
 
postGlobal() - Method in class hex.tree.ScoreBuildHistogram2
 
postProcessPredictions(Frame, Frame, Job) - Method in class hex.tree.SharedTreeModel
 
pre(int, float, IcedBitSet, int, int) - Method in class hex.tree.TreeVisitor
 
pre_split_se() - Method in class hex.tree.DTree.Split
 
pre_trained - Variable in class hex.schemas.Word2VecV3.Word2VecParametersV3
 
pred(int) - Method in class hex.tree.DTree.DecidedNode
 
pred() - Method in class hex.tree.DTree.LeafNode
 
pred_noise_bandwidth - Variable in class hex.schemas.GBMV3.GBMParametersV3
 
predictorMeans() - Method in class hex.glm.GLMTask.YMUTask
 
predictors_bad - Variable in class hex.DataInfo.Row
 
predictorSDs() - Method in class hex.glm.GLMTask.YMUTask
 
predictScoreImpl(Frame, Frame, String, Job, boolean, CFuncRef) - Method in class hex.aggregator.AggregatorModel
 
predictScoreImpl(Frame, Frame, String, Job, boolean, CFuncRef) - Method in class hex.deeplearning.DeepLearningModel
Make either a prediction or a reconstruction.
predictScoreImpl(Frame, Frame, String, Job, boolean, CFuncRef) - Method in class hex.deepwater.DeepWaterModel
 
predictScoreImpl(Frame, Frame, String, Job, boolean, CFuncRef) - Method in class hex.glm.GLMModel
Score an already adapted frame.
predictScoreImpl(Frame, Frame, String, Job, boolean, CFuncRef) - Method in class hex.glrm.GLRMModel
 
predictScoreImpl(Frame, Frame, String, Job, boolean, CFuncRef) - Method in class hex.kmeans.KMeansModel
 
predictScoreImpl(Frame, Frame, String, Job, boolean, CFuncRef) - Method in class hex.pca.PCAModel
 
predictScoreImpl(Frame, Frame, String, Job, boolean, CFuncRef) - Method in class hex.StackedEnsembleModel
For StackedEnsemble we call score on all the base_models and then combine the results with the metalearner to create the final predictions frame.
predictScoreImpl(Frame, Frame, String, Job, boolean, CFuncRef) - Method in class hex.svd.SVDModel
 
pretrained_autoencoder - Variable in class hex.schemas.DeepLearningV3.DeepLearningParametersV3
 
printGenerateTrees(DTree[]) - Static method in class hex.tree.SharedTree
 
prior - Variable in class hex.schemas.GLMV3.GLMParametersV3
 
problem_type - Variable in class hex.schemas.DeepWaterV3.DeepWaterParametersV3
The activation function (non-linearity) to be used by the neurons in the hidden layers.
processMiniBatch(long, double[], double[], int) - Method in class hex.deeplearning.DeepLearningTask
Apply the gradient to update the weights
processMiniBatch(long, double[], double[], int) - Method in class hex.FrameTask
Mini-Batch update of model parameters
processRow(long, DataInfo.Row) - Method in class hex.coxph.CoxPH.CoxPHTask
 
processRow(long, DataInfo.Row, int) - Method in class hex.deeplearning.DeepLearningTask
Process one training row at a time (online learning)
processRow(long, DataInfo.Row) - Method in class hex.FrameTask
Method to process one row of the data.
processRow(long, DataInfo.Row, NewChunk[]) - Method in class hex.FrameTask
 
processRow(long, DataInfo.Row, int) - Method in class hex.FrameTask
 
processRow(DataInfo.Row) - Method in class hex.FrameTask2
 
processRow(DataInfo.Row) - Method in class hex.glm.GLMTask.ComputeSETsk
 
processRow(DataInfo.Row) - Method in class hex.glm.GLMTask.GLMIterationTask
 
processRow(DataInfo.Row) - Method in class hex.glm.GLMTask.GLMIterationTaskMultinomial
 
processRow(DataInfo.Row) - Method in class hex.glm.GLMTask.GLMMultinomialUpdate
 
processRow(DataInfo.Row) - Method in class hex.glm.GLMTask.GLMMultinomialWLSTask
 
processRow(DataInfo.Row) - Method in class hex.glm.GLMTask.GLMWLSTask
 
processRow(DataInfo.Row) - Method in class hex.glm.GLMTask.LSTask
 
processRow(DataInfo.Row) - Method in class hex.gram.Gram.GramTask
 
processRow(long, DataInfo.Row, NewChunk[]) - Method in class hex.util.LinearAlgebraUtils.BMulTask
 
progress(double[], OptimizationUtils.GradientInfo) - Method in class hex.glm.GLM.GLMDriver
 
progress(double[], double) - Method in class hex.glm.GLM.GLMDriver
 
progress(double[], OptimizationUtils.GradientInfo) - Method in interface hex.optimization.L_BFGS.ProgressMonitor
 
progressUnits() - Method in class hex.aggregator.AggregatorModel.AggregatorParameters
 
progressUnits() - Method in class hex.coxph.CoxPHModel.CoxPHParameters
 
progressUnits() - Method in class hex.deeplearning.DeepLearningModel.DeepLearningParameters
 
progressUnits() - Method in class hex.deepwater.DeepWaterParameters
 
progressUnits() - Method in class hex.example.ExampleModel.ExampleParameters
 
progressUnits() - Method in class hex.glm.GLMModel.GLMParameters
 
progressUnits() - Method in class hex.glrm.GLRMModel.GLRMParameters
 
progressUnits() - Method in class hex.grep.GrepModel.GrepParameters
 
progressUnits() - Method in class hex.kmeans.KMeansModel.KMeansParameters
 
progressUnits() - Method in class hex.naivebayes.NaiveBayesModel.NaiveBayesParameters
 
progressUnits() - Method in class hex.pca.PCAModel.PCAParameters
 
progressUnits() - Method in class hex.StackedEnsembleModel.StackedEnsembleParameters
 
progressUnits() - Method in class hex.svd.SVDModel.SVDParameters
 
progressUnits() - Method in class hex.tree.SharedTreeModel.SharedTreeParameters
 
progressUnits() - Method in class hex.word2vec.Word2VecModel.Word2VecParameters
 
proximal_gradient(double[], double, double[], double[], double[]) - Static method in class hex.glm.GLM.ProximalGradientSolver
 
ProximalGradientInfo(OptimizationUtils.GradientInfo, double, double[]) - Constructor for class hex.glm.GLM.ProximalGradientInfo
 
ProximalGradientSolver(OptimizationUtils.GradientSolver, double[], double[], double, double, OptimizationUtils.GradientInfo, L_BFGS.ProgressMonitor) - Constructor for class hex.glm.GLM.ProximalGradientSolver
 
pValues() - Method in class hex.glm.GLMModel.GLMOutput
 

Q

qrCholesky(ArrayList<Integer>, boolean) - Method in class hex.gram.Gram
Compute Cholesky decompostion by computing partial QR decomposition (R == LU).
quiet_mode - Variable in class hex.schemas.DeepLearningV3.DeepLearningParametersV3
Enable quiet mode for less output to standard output.
quiet_mode - Variable in class hex.schemas.DeepWaterV3.DeepWaterParametersV3
Enable quiet mode for less output to standard output.

R

r2_stopping - Variable in class hex.schemas.SharedTreeV3.SharedTreeParametersV3
 
randomlySparsifyActivation(Storage.Vector, long) - Method in class hex.deeplearning.Dropout
 
rank() - Method in class hex.glm.GLMModel.GLMOutput
 
rank() - Method in class hex.glm.GLMModel.Submodel
 
rank() - Method in class hex.glrm.GLRM.Archetypes
 
rate(double) - Method in class hex.deeplearning.Neurons
The learning rate
rate - Variable in class hex.schemas.DeepLearningV3.DeepLearningParametersV3
When adaptive learning rate is disabled, the magnitude of the weight updates are determined by the user specified learning rate (potentially annealed), and are a function of the difference between the predicted value and the target value.
rate_annealing - Variable in class hex.schemas.DeepLearningV3.DeepLearningParametersV3
Learning rate annealing reduces the learning rate to "freeze" into local minima in the optimization landscape.
rate_decay - Variable in class hex.schemas.DeepLearningV3.DeepLearningParametersV3
The learning rate decay parameter controls the change of learning rate across layers.
raw() - Method in class hex.deeplearning.Storage.DenseColMatrix
 
raw() - Method in class hex.deeplearning.Storage.DenseRowMatrix
 
raw() - Method in class hex.deeplearning.Storage.DenseVector
 
raw() - Method in interface hex.deeplearning.Storage.Matrix
 
raw() - Method in class hex.deeplearning.Storage.SparseRowMatrix
 
raw() - Method in interface hex.deeplearning.Storage.Tensor
 
raw() - Method in interface hex.deeplearning.Storage.Vector
 
rcall - Variable in class hex.schemas.CoxPHV3.CoxPHParametersV3
 
rcumsumRisk - Variable in class hex.coxph.CoxPH.CoxPHTask
 
rcumsumXRisk - Variable in class hex.coxph.CoxPH.CoxPHTask
 
rcumsumXXRisk - Variable in class hex.coxph.CoxPH.CoxPHTask
 
read_impl(AutoBuffer) - Method in class hex.word2vec.WordCountTask
 
readAll_impl(AutoBuffer, Futures) - Method in class hex.glrm.GLRMModel
 
readAll_impl(AutoBuffer, Futures) - Method in class hex.StackedEnsembleModel
Read in models (base + metalearner)
readAll_impl(AutoBuffer, Futures) - Method in class hex.svd.SVDModel
 
readAll_impl(AutoBuffer, Futures) - Method in class hex.tree.SharedTreeModel
 
rebalance(Frame, boolean, String) - Method in class hex.deeplearning.DeepLearning
 
ReconstructTreeState - Class in hex.tree
Computing oob scores over all trees and rows and reconstructing ntree_id, oobt fields in given frame.
ReconstructTreeState(int, int, SharedTree, double, CompressedForest, boolean) - Constructor for class hex.tree.ReconstructTreeState
 
recover_svd - Variable in class hex.schemas.GLRMV3.GLRMParametersV3
 
Rectifier(int) - Constructor for class hex.deeplearning.Neurons.Rectifier
 
RectifierDropout(int) - Constructor for class hex.deeplearning.Neurons.RectifierDropout
 
reduce(CoxPH.CoxPHTask) - Method in class hex.coxph.CoxPH.CoxPHTask
 
reduce(DeepLearningTask) - Method in class hex.deeplearning.DeepLearningTask
Average the per-node models (for elastic averaging, already wrote them to DKV in postLocal()) This is a no-op between F/J worker threads (operate on the same weights/biases)
reduce(DeepLearningTask2) - Method in class hex.deeplearning.DeepLearningTask2
Reduce between worker nodes, with network traffic (if greater than 1 nodes) After all reduce()'s are done, postGlobal() will be called
reduce(DeepWaterTask) - Method in class hex.deepwater.DeepWaterTask
Average the per-node models (for elastic averaging, already wrote them to DKV in postLocal()) This is a no-op between F/J worker threads (operate on the same weights/biases)
reduce(FrameTask.ExtractDenseRow) - Method in class hex.FrameTask.ExtractDenseRow
 
reduce(GLMMetricBuilder) - Method in class hex.glm.GLMMetricBuilder
 
reduce(GLMScore) - Method in class hex.glm.GLMScore
 
reduce(GLMTask.ComputeSETsk) - Method in class hex.glm.GLMTask.ComputeSETsk
 
reduce(GLMTask.GLMCoordinateDescentTaskSeqIntercept) - Method in class hex.glm.GLMTask.GLMCoordinateDescentTaskSeqIntercept
 
reduce(GLMTask.GLMCoordinateDescentTaskSeqNaive) - Method in class hex.glm.GLMTask.GLMCoordinateDescentTaskSeqNaive
 
reduce(GLMTask.GLMGenerateWeightsTask) - Method in class hex.glm.GLMTask.GLMGenerateWeightsTask
 
reduce(GLMTask.GLMIterationTask) - Method in class hex.glm.GLMTask.GLMIterationTask
 
reduce(GLMTask.GLMIterationTaskMultinomial) - Method in class hex.glm.GLMTask.GLMIterationTaskMultinomial
 
reduce(GLMTask.LSTask) - Method in class hex.glm.GLMTask.LSTask
 
reduce(GLMTask.YMUTask) - Method in class hex.glm.GLMTask.YMUTask
 
reduce(ModelMetricsGLRM.GlrmModelMetricsBuilder) - Method in class hex.glrm.ModelMetricsGLRM.GlrmModelMetricsBuilder
 
reduce(Gram.GramTask) - Method in class hex.gram.Gram.GramTask
 
reduce(Gram.OuterGramTask) - Method in class hex.gram.Gram.OuterGramTask
 
reduce(TreeMeasuresCollector) - Method in class hex.tree.drf.TreeMeasuresCollector
 
reduce(Score) - Method in class hex.tree.Score
 
reduce(ScoreBuildHistogram) - Method in class hex.tree.ScoreBuildHistogram
 
reduce(LinearAlgebraUtils.SMulTask) - Method in class hex.util.LinearAlgebraUtils.SMulTask
 
reduce(WordCountTask) - Method in class hex.word2vec.WordCountTask
 
reduce(WordVectorConverter) - Method in class hex.word2vec.WordVectorConverter
 
reduce(WordVectorTrainer) - Method in class hex.word2vec.WordVectorTrainer
 
reducePrecision() - Method in class hex.tree.DHistogram
Cast bin values *except for sums of weights and Na-bucket counters to floats to drop least significant bits.
regex - Variable in class hex.schemas.GrepV3.GrepParametersV3
 
RegisterAlgos - Class in hex.api
 
RegisterAlgos() - Constructor for class hex.api.RegisterAlgos
 
registerEndPoints(RestApiContext) - Method in class hex.api.RegisterAlgos
 
regression_stop - Variable in class hex.schemas.DeepLearningV3.DeepLearningParametersV3
The stopping criteria in terms of regression error (MSE) on the training data scoring dataset.
regression_stop - Variable in class hex.schemas.DeepWaterV3.DeepWaterParametersV3
The stopping criteria in terms of regression error (MSE) on the training data scoring dataset.
regularization_x - Variable in class hex.schemas.GLRMV3.GLRMParametersV3
 
regularization_y - Variable in class hex.schemas.GLRMV3.GLRMParametersV3
 
RegularizationPath() - Constructor for class hex.glm.GLMModel.RegularizationPath
 
rel_improvement - Variable in class hex.optimization.L_BFGS.Result
 
rel_tol_num_exemplars - Variable in class hex.schemas.AggregatorV99.AggregatorParametersV99
 
remove_collinear_columns - Variable in class hex.schemas.GLMV3.GLMParametersV3
 
remove_impl(Futures) - Method in class hex.aggregator.AggregatorModel
 
remove_impl(Futures) - Method in class hex.deepwater.DeepWaterModel
 
remove_impl(Futures) - Method in class hex.glrm.GLRMModel
 
remove_impl(Futures) - Method in class hex.StackedEnsembleModel
 
remove_impl(Futures) - Method in class hex.svd.SVDModel
 
remove_impl(Futures) - Method in class hex.tree.SharedTreeModel
 
removeCols(int[]) - Method in class hex.glm.ComputationState
 
replicate_training_data - Variable in class hex.schemas.DeepLearningV3.DeepLearningParametersV3
Replicate the entire training dataset onto every node for faster training on small datasets.
replicate_training_data - Variable in class hex.schemas.DeepWaterV3.DeepWaterParametersV3
Replicate the entire training dataset onto every node for faster training on small datasets.
representation_name - Variable in class hex.schemas.GLRMModelV3.GLRMModelOutputV3
 
reproducible - Variable in class hex.schemas.DeepLearningV3.DeepLearningParametersV3
 
resDOF() - Method in class hex.glm.GLMMetricBuilder
 
residualDeviance() - Method in class hex.glm.GLMMetricBuilder
 
response - Variable in class hex.DataInfo.Row
 
response(int) - Method in class hex.DataInfo.Row
 
response_bad - Variable in class hex.DataInfo.Row
 
responseChunkId(int) - Method in class hex.DataInfo
 
responseColumn - Variable in class hex.StackedEnsembleModel
 
responseIndex - Variable in class hex.tree.SharedTree.FrameMap
 
responseMeans() - Method in class hex.glm.GLMTask.YMUTask
 
responseSDs() - Method in class hex.glm.GLMTask.YMUTask
 
Result(boolean, int, double[], OptimizationUtils.GradientInfo, double) - Constructor for class hex.optimization.L_BFGS.Result
 
result - Variable in class hex.schemas.DataInfoFrameV3
 
resultSSE() - Method in class hex.tree.drf.TreeMeasuresCollector
 
resultVotes() - Method in class hex.tree.drf.TreeMeasuresCollector
 
resumeFromCheckpoint(SharedTree) - Method in class hex.tree.SharedTree.Driver
Restore the workspace from a previous model (checkpoint)
rho() - Method in class hex.glm.GLM.GramSolver
 
rho() - Method in class hex.glm.GLM.ProximalGradientSolver
 
rho() - Method in interface hex.optimization.ADMM.ProximalSolver
 
rho - Variable in class hex.schemas.DeepLearningV3.DeepLearningParametersV3
The first of two hyper parameters for adaptive learning rate (ADADELTA).
rid - Variable in class hex.DataInfo.Row
 
rms_weight - Variable in class hex.deeplearning.DeepLearningModelInfo
 
rngForChunk(int) - Method in class hex.tree.CompressedTree
 
root() - Method in class hex.tree.DTree
 
Row(boolean, int, int, int, int, long) - Constructor for class hex.DataInfo.Row
 
Row(boolean, double[], int[], double[], int, long) - Constructor for class hex.DataInfo.Row
 
Row(double[]) - Constructor for class hex.DataInfo.Row
 
row(int) - Method in class hex.DataInfo.Rows
 
rows(Chunk[]) - Method in class hex.DataInfo
 
rows(Chunk[], boolean) - Method in class hex.DataInfo
 
rows() - Method in class hex.deeplearning.Storage.DenseColMatrix
 
rows() - Method in class hex.deeplearning.Storage.DenseRowMatrix
 
rows() - Method in interface hex.deeplearning.Storage.Matrix
 
rows() - Method in class hex.deeplearning.Storage.SparseRowMatrix
 
rows() - Method in interface hex.deeplearning.Storage.Tensor
 

S

Sample - Class in hex.tree
 
Sample(DTree, double, double[]) - Constructor for class hex.tree.Sample
 
sample_rate - Variable in class hex.schemas.SharedTreeV3.SharedTreeParametersV3
 
sample_rate_per_class - Variable in class hex.schemas.SharedTreeV3.SharedTreeParametersV3
 
save_mapping_frame - Variable in class hex.schemas.AggregatorV99.AggregatorParametersV99
 
schema() - Method in class hex.coxph.CoxPHModel
 
schema() - Method in class hex.deepwater.DeepWaterModel
 
schema() - Method in class hex.naivebayes.NaiveBayesModel
 
score(double[], String[][]) - Method in class hex.tree.CompressedTree
 
Score - Class in hex.tree
Score the tree columns, and produce a confusion matrix and AUC
Score(SharedTree, boolean, boolean, Vec, ModelCategory, boolean, Frame, CFuncRef) - Constructor for class hex.tree.Score
Compute ModelMetrics on the testing dataset.
Score(SharedTree, Score.ScoreIncInfo, boolean, Vec, ModelCategory, boolean, Frame, CFuncRef) - Constructor for class hex.tree.Score
 
Score.ScoreIncInfo - Class in hex.tree
 
score0(double[], double[]) - Method in class hex.aggregator.AggregatorModel
 
score0(double[], double[]) - Method in class hex.coxph.CoxPHModel
Predict from raw double values representing the data
score0(double[], double[]) - Method in class hex.deeplearning.DeepLearningModel
 
score0(double[], double[], double) - Method in class hex.deeplearning.DeepLearningModel
Predict from raw double values representing the data
score0(double[], double[]) - Method in class hex.deepwater.DeepWaterModel
Single-instance scoring - slow, not optimized for mini-batches - do not use unless you know what you're doing
score0(double[], double[], double) - Method in class hex.deepwater.DeepWaterModel
 
score0(double[], double[]) - Method in class hex.example.ExampleModel
 
score0(double[], double[]) - Method in class hex.glm.GLMModel
 
score0(double[], double[], double) - Method in class hex.glm.GLMModel
 
score0(double[], double[]) - Method in class hex.glrm.GLRMModel
 
score0(double[], double[]) - Method in class hex.grep.GrepModel
 
score0(double[], double[], double) - Method in class hex.kmeans.KMeansModel
 
score0(double[], double[]) - Method in class hex.kmeans.KMeansModel
 
score0(double[], double[]) - Method in class hex.naivebayes.NaiveBayesModel
 
score0(double[], double[]) - Method in class hex.pca.PCAModel
 
score0(double[], double[]) - Method in class hex.StackedEnsembleModel
Should never be called: the code paths that normally go here should call predictScoreImpl().
score0(double[], double[]) - Method in class hex.svd.SVDModel
 
score0(double[], double[], double, int) - Method in class hex.tree.drf.DRFModel
Bulk scoring API for one row.
score0(double[], double[], int) - Method in class hex.tree.DTreeScorer
 
score0(double[], double[], double, int) - Method in class hex.tree.gbm.GBMModel
Bulk scoring API for one row.
score0(double[], double[], double) - Method in class hex.tree.SharedTreeModel
 
score0(double[], double[]) - Method in class hex.tree.SharedTreeModel
 
score0(double[], double[], double, int) - Method in class hex.tree.SharedTreeModel
 
score0(double[], double[], double, int, int) - Method in class hex.tree.SharedTreeModel
 
score0(Chunk[], int, double[], double[]) - Method in class hex.word2vec.Word2VecModel
 
score0(double[], double[]) - Method in class hex.word2vec.Word2VecModel
 
score0Incremental(Score.ScoreIncInfo, Chunk[], double, int, double[], double[]) - Method in class hex.tree.gbm.GBMModel
 
score0Incremental(Score.ScoreIncInfo, Chunk[], double, int, double[], double[]) - Method in class hex.tree.SharedTreeModel
 
score1(Chunk[], double, double, double[], int) - Method in class hex.tree.drf.DRF
 
score1(Chunk[], double, double, double[], int) - Method in class hex.tree.gbm.GBM
 
score1(Chunk[], double, double, double[], int) - Method in class hex.tree.SharedTree
 
score_decide(Chunk[], Chunk, int[]) - Method in class hex.tree.ScoreBuildHistogram
 
score_decide(Chunk[], int[]) - Method in class hex.tree.ScoreBuildHistogram2
 
score_duty_cycle - Variable in class hex.schemas.DeepLearningV3.DeepLearningParametersV3
Maximum fraction of wall clock time spent on model scoring on training and validation samples, and on diagnostics such as computation of feature importances (i.e., not on training).
score_duty_cycle - Variable in class hex.schemas.DeepWaterV3.DeepWaterParametersV3
Maximum fraction of wall clock time spent on model scoring on training and validation samples, and on diagnostics such as computation of feature importances (i.e., not on training).
score_indicator(Chunk[], int, double[], double[]) - Method in class hex.kmeans.KMeansModel
 
score_interval - Variable in class hex.schemas.DeepLearningV3.DeepLearningParametersV3
The minimum time (in seconds) to elapse between model scoring.
score_interval - Variable in class hex.schemas.DeepWaterV3.DeepWaterParametersV3
The minimum time (in seconds) to elapse between model scoring.
score_ratio(Chunk[], int, double[]) - Method in class hex.kmeans.KMeansModel
 
score_training_samples - Variable in class hex.deeplearning.DeepLearningScoringInfo
 
score_training_samples() - Method in class hex.deeplearning.DeepLearningScoringInfo
 
score_training_samples() - Method in class hex.deepwater.DeepWaterScoringInfo
 
score_training_samples - Variable in class hex.schemas.DeepLearningV3.DeepLearningParametersV3
The number of training dataset points to be used for scoring.
score_training_samples - Variable in class hex.schemas.DeepWaterV3.DeepWaterParametersV3
The number of training dataset points to be used for scoring.
score_tree_interval - Variable in class hex.schemas.SharedTreeV3.SharedTreeParametersV3
 
score_validation_samples - Variable in class hex.deeplearning.DeepLearningScoringInfo
 
score_validation_samples() - Method in class hex.deeplearning.DeepLearningScoringInfo
 
score_validation_samples() - Method in class hex.deepwater.DeepWaterScoringInfo
 
score_validation_samples - Variable in class hex.schemas.DeepLearningV3.DeepLearningParametersV3
The number of validation dataset points to be used for scoring.
score_validation_samples - Variable in class hex.schemas.DeepWaterV3.DeepWaterParametersV3
The number of validation dataset points to be used for scoring.
score_validation_sampling - Variable in class hex.schemas.DeepLearningV3.DeepLearningParametersV3
Method used to sample the validation dataset for scoring, see Score Validation Samples above.
scoreAndBuildTrees(boolean) - Method in class hex.tree.SharedTree.Driver
Build more trees, as specified by the model parameters
scoreArchetypes(Frame, Key<Frame>, boolean) - Method in class hex.glrm.GLRMModel
Project each archetype into original feature space
scoreAutoEncoder(Frame, Key, boolean) - Method in class hex.deeplearning.DeepLearningModel
Score auto-encoded reconstruction (on-the-fly, without allocating the reconstruction as done in Frame score(Frame fr))
scoreAutoEncoder(Frame, Key, boolean) - Method in class hex.deepwater.DeepWaterModel
 
ScoreBuildHistogram - Class in hex.tree
Score and Build Histogram
ScoreBuildHistogram(H2O.H2OCountedCompleter, int, int, int, int, DTree, int, DHistogram[][], DistributionFamily, int, int, int) - Constructor for class hex.tree.ScoreBuildHistogram
 
ScoreBuildHistogram2 - Class in hex.tree
Created by tomas on 10/28/16.
ScoreBuildHistogram2(H2O.H2OCountedCompleter, int, int, int, int, DTree, int, DHistogram[][], DistributionFamily, int, int, int) - Constructor for class hex.tree.ScoreBuildHistogram2
 
scoreCols() - Method in class hex.tree.DTree.UndecidedNode
 
scoreDeepFeatures(Frame, int) - Method in class hex.deeplearning.DeepLearningModel
Score auto-encoded reconstruction (on-the-fly, and materialize the deep features of given layer
scoreDeepFeatures(Frame, int, Job) - Method in class hex.deeplearning.DeepLearningModel
 
scoreDeepFeatures(Frame, String, Job) - Method in class hex.deeplearning.DeepLearningModel
 
scoreDeepFeatures(Frame, int) - Method in class hex.deepwater.DeepWaterModel
 
scoreDeepFeatures(Frame, int, Job) - Method in class hex.deepwater.DeepWaterModel
 
scoreDeepFeatures(Frame, String, Job) - Method in class hex.deepwater.DeepWaterModel
 
scoreExemplarMembers(Key<Frame>, int) - Method in class hex.aggregator.AggregatorModel
 
ScoreIncInfo(int, int, int, int) - Constructor for class hex.tree.Score.ScoreIncInfo
 
scoreKeepers() - Method in class hex.tree.SharedTreeModel.SharedTreeOutput
 
scoreLeafNodeAssignment(Frame, Key<Frame>) - Method in class hex.tree.SharedTreeModel
 
scoreMetrics(Frame) - Method in class hex.deepwater.DeepWaterModel
 
scoreMetrics(Frame) - Method in class hex.glm.GLMModel
Score an already adapted frame.
scoreMetricsOnly(Frame) - Method in class hex.glrm.GLRMModel
 
scoreReconstruction(Frame, Key<Frame>, boolean) - Method in class hex.glrm.GLRMModel
 
scoreRow(DataInfo.Row, double, double[]) - Method in class hex.glm.GLMScore
 
scores - Variable in class hex.schemas.Word2VecSynonymsV3
 
scoreTree(double[], double[], int) - Method in class hex.tree.CompressedForest.LocalCompressedForest
Score given tree on the row of data.
scoreZeroTrees() - Method in class hex.tree.drf.DRF
 
scoreZeroTrees() - Method in class hex.tree.SharedTree
 
SCORING_INTERVAL_MSEC - Static variable in class hex.glm.GLM
 
scoringDomains() - Method in class hex.glm.GLMModel
 
scoringInfo(String[], Frame) - Method in class hex.DataInfo
 
se() - Method in class hex.tree.DTree.Split
 
seed - Variable in class hex.schemas.AggregatorV99.AggregatorParametersV99
 
seed - Variable in class hex.schemas.DeepLearningV3.DeepLearningParametersV3
The random seed controls sampling and initialization.
seed - Variable in class hex.schemas.DeepWaterV3.DeepWaterParametersV3
The random seed controls sampling and initialization.
seed - Variable in class hex.schemas.GLMV3.GLMParametersV3
 
seed - Variable in class hex.schemas.GLRMV3.GLRMParametersV3
 
seed - Variable in class hex.schemas.KMeansV3.KMeansParametersV3
 
seed - Variable in class hex.schemas.NaiveBayesV3.NaiveBayesParametersV3
 
seed - Variable in class hex.schemas.PCAV3.PCAParametersV3
 
seed - Variable in class hex.schemas.SharedTreeV3.SharedTreeParametersV3
 
seed - Variable in class hex.schemas.StackedEnsembleV99.StackedEnsembleParametersV99
 
seed - Variable in class hex.schemas.SVDV99.SVDParametersV99
 
seed - Variable in class hex.StackedEnsembleModel
 
seed(int) - Static method in class hex.tree.drf.TreeMeasuresCollector.ShuffleTask
 
sent_sample_rate - Variable in class hex.schemas.Word2VecV3.Word2VecParametersV3
 
set(int, int, float) - Method in class hex.deeplearning.Storage.DenseColMatrix
 
set(int, int, float) - Method in class hex.deeplearning.Storage.DenseRowMatrix
 
set(int, double) - Method in class hex.deeplearning.Storage.DenseVector
 
set(int, int, float) - Method in interface hex.deeplearning.Storage.Matrix
 
set(int, int, float) - Method in class hex.deeplearning.Storage.SparseRowMatrix
 
set(int, int, int, float) - Method in interface hex.deeplearning.Storage.Tensor
 
set(int, double) - Method in interface hex.deeplearning.Storage.Vector
 
set_params(DeepLearningModel.DeepLearningParameters, Key<Model>) - Method in class hex.deeplearning.DeepLearningModelInfo
 
set_processed_global(long) - Method in class hex.deeplearning.DeepLearningModelInfo
 
set_processed_local(long) - Method in class hex.deeplearning.DeepLearningModelInfo
 
setActiveClass(int) - Method in class hex.glm.ComputationState
 
setBC(GLM.BetaConstraint) - Method in class hex.glm.ComputationState
 
setBetaMultinomial(int, double[], double[]) - Method in class hex.glm.ComputationState
 
setCatNAFill(int[]) - Method in class hex.DataInfo
 
setGradEps(double) - Method in class hex.optimization.L_BFGS
 
setGradientNorm(MathUtils.Norm) - Method in class hex.optimization.ADMM.L1Solver
 
setHistorySz(int) - Method in class hex.optimization.L_BFGS
 
setInitialStep(double) - Method in interface hex.optimization.OptimizationUtils.LineSearchSolver
 
setInitialStep(double) - Method in class hex.optimization.OptimizationUtils.MoreThuente
 
setInitialStep(double) - Method in class hex.optimization.OptimizationUtils.SimpleBacktrackingLS
 
setInput(long, double[], int) - Method in class hex.deeplearning.Neurons.Input
One of two methods to set layer input values.
setInput(long, int[], double[], int, int[], int) - Method in class hex.deeplearning.Neurons.Input
The second method used to set input layer values.
setLambda(double) - Method in class hex.glm.ComputationState
 
setLambdaMax(double) - Method in class hex.glm.ComputationState
 
setMaxIn(double) - Method in class hex.tree.DHistogram
 
setMaxIter(int) - Method in class hex.optimization.L_BFGS
 
setMin(double) - Method in class hex.tree.DHistogram
 
setNonNegative() - Method in class hex.glm.GLM.BetaConstraint
 
setNumTrees(int) - Method in class hex.tree.TreeStats
 
setObjEps(double) - Method in class hex.optimization.L_BFGS
 
setOutput(int, double) - Method in class hex.DataInfo.Row
 
setOutputLayerGradient(double, int, int) - Method in class hex.deeplearning.Neurons.Linear
Backpropagation for regression
setOutputLayerGradient(double, int, int) - Method in class hex.deeplearning.Neurons
Accumulation of reconstruction errors for a generic Neurons class (This is only used for AutoEncoders)
setOutputLayerGradient(double, int, int) - Method in class hex.deeplearning.Neurons.Softmax
Part of backpropagation for classification Update every weight as follows: w += -rate * dE/dw Compute dE/dw via chain rule: dE/dw = dE/dy * dy/dnet * dnet/dw, where net = sum(xi*wi)+b and y = activation function
setPredictorTransform(DataInfo.TransformType) - Method in class hex.DataInfo
 
setResponse(int, double) - Method in class hex.DataInfo.Row
 
setResponse(String, Vec) - Method in class hex.DataInfo
 
setResponse(String, Vec, int) - Method in class hex.DataInfo
 
setResponseTransform(DataInfo.TransformType) - Method in class hex.DataInfo
 
setSparse(boolean) - Method in class hex.FrameTask2
 
setSPD(boolean) - Method in class hex.gram.Gram.Cholesky
 
setSubmodel(double) - Method in class hex.glm.GLMModel.GLMOutput
 
setSubmodelIdx(int) - Method in class hex.glm.GLMModel.GLMOutput
 
setUnstable() - Method in class hex.deeplearning.DeepLearningModelInfo
 
setupBigScorePredict() - Method in class hex.deepwater.DeepWaterModel
 
setupLocal() - Method in class hex.deeplearning.DeepLearningTask
Transfer ownership from global (shared) model to local model which will be worked on
setupLocal() - Method in class hex.deeplearning.DeepLearningTask2
Do the local computation: Perform one DeepLearningTask (with run_local=true) iteration.
setupLocal() - Method in class hex.deepwater.DeepWaterTask
Transfer ownership from global (shared) model to local model which will be worked on
setupLocal() - Method in class hex.FrameTask
 
setupLocal() - Method in class hex.FrameTask2
 
setupLocal() - Method in class hex.glm.GLMTask.YMUTask
 
setupLocal() - Method in class hex.tree.drf.TreeMeasuresCollector
 
setupLocal() - Method in class hex.tree.DTreeScorer
 
setupLocal() - Method in class hex.tree.ScoreBuildHistogram
 
setupLocal() - Method in class hex.tree.ScoreBuildHistogram2
 
setupLocal() - Method in class hex.word2vec.WordVectorConverter
 
setupLocal() - Method in class hex.word2vec.WordVectorTrainer
 
setVcov(double[][]) - Method in class hex.glm.GLMModel
 
setWeights(String, Vec) - Method in class hex.DataInfo
 
setWideDataset(boolean) - Method in class hex.glrm.GLRM
 
setWideDataset(boolean) - Method in class hex.pca.PCA
 
setWideDataset(boolean) - Method in class hex.svd.SVD
 
setZValues(double[], double, boolean) - Method in class hex.glm.GLMModel
 
SharedTree<M extends SharedTreeModel<M,P,O>,P extends SharedTreeModel.SharedTreeParameters,O extends SharedTreeModel.SharedTreeOutput> - Class in hex.tree
 
SharedTree(P) - Constructor for class hex.tree.SharedTree
 
SharedTree(P, Key<M>) - Constructor for class hex.tree.SharedTree
 
SharedTree(P, Job) - Constructor for class hex.tree.SharedTree
 
SharedTree(P, boolean) - Constructor for class hex.tree.SharedTree
 
SharedTree.Driver - Class in hex.tree
 
SharedTree.FrameMap - Class in hex.tree
 
SharedTreeModel<M extends SharedTreeModel<M,P,O>,P extends SharedTreeModel.SharedTreeParameters,O extends SharedTreeModel.SharedTreeOutput> - Class in hex.tree
 
SharedTreeModel(Key<M>, P, O) - Constructor for class hex.tree.SharedTreeModel
 
SharedTreeModel.SharedTreeOutput - Class in hex.tree
 
SharedTreeModel.SharedTreeParameters - Class in hex.tree
 
SharedTreeModel.SharedTreeParameters.HistogramType - Enum in hex.tree
 
SharedTreeModelOutputV3() - Constructor for class hex.schemas.SharedTreeModelV3.SharedTreeModelOutputV3
 
SharedTreeModelV3<M extends SharedTreeModel<M,P,O>,S extends SharedTreeModelV3<M,S,P,PS,O,OS>,P extends SharedTreeModel.SharedTreeParameters,PS extends SharedTreeV3.SharedTreeParametersV3<P,PS>,O extends SharedTreeModel.SharedTreeOutput,OS extends SharedTreeModelV3.SharedTreeModelOutputV3<O,OS>> - Class in hex.schemas
 
SharedTreeModelV3() - Constructor for class hex.schemas.SharedTreeModelV3
 
SharedTreeModelV3.SharedTreeModelOutputV3<O extends SharedTreeModel.SharedTreeOutput,SO extends SharedTreeModelV3.SharedTreeModelOutputV3<O,SO>> - Class in hex.schemas
 
SharedTreeMojoWriter<M extends SharedTreeModel<M,P,O>,P extends SharedTreeModel.SharedTreeParameters,O extends SharedTreeModel.SharedTreeOutput> - Class in hex.tree
Shared Mojo definition file for DRF and GBM models.
SharedTreeMojoWriter() - Constructor for class hex.tree.SharedTreeMojoWriter
 
SharedTreeMojoWriter(M) - Constructor for class hex.tree.SharedTreeMojoWriter
 
SharedTreeOutput(SharedTree) - Constructor for class hex.tree.SharedTreeModel.SharedTreeOutput
 
SharedTreeParameters() - Constructor for class hex.tree.SharedTreeModel.SharedTreeParameters
 
SharedTreeParametersV3() - Constructor for class hex.schemas.SharedTreeV3.SharedTreeParametersV3
 
SharedTreeV3<B extends SharedTree,S extends SharedTreeV3<B,S,P>,P extends SharedTreeV3.SharedTreeParametersV3> - Class in hex.schemas
 
SharedTreeV3() - Constructor for class hex.schemas.SharedTreeV3
 
SharedTreeV3.SharedTreeParametersV3<P extends SharedTreeModel.SharedTreeParameters,S extends SharedTreeV3.SharedTreeParametersV3<P,S>> - Class in hex.schemas
 
shouldReorder(Vec) - Method in class hex.tree.SharedTree
 
shrinkage(double, double) - Static method in class hex.optimization.ADMM
 
shuffle(Vec) - Static method in class hex.tree.drf.TreeMeasuresCollector.ShuffleTask
 
shuffle_training_data - Variable in class hex.schemas.DeepLearningV3.DeepLearningParametersV3
Enable shuffling of training data (on each node).
shuffle_training_data - Variable in class hex.schemas.DeepWaterV3.DeepWaterParametersV3
Enable shuffling of training data (on each node).
ShuffleSplitFrame - Class in hex.splitframe
Frame splitter function to divide given frame into multiple partitions based on given ratios.
ShuffleSplitFrame() - Constructor for class hex.splitframe.ShuffleSplitFrame
 
shuffleSplitFrame(Frame, Key<Frame>[], double[], long) - Static method in class hex.splitframe.ShuffleSplitFrame
 
ShuffleTask() - Constructor for class hex.tree.drf.TreeMeasuresCollector.ShuffleTask
 
SimpleBacktrackingLS(OptimizationUtils.GradientSolver, double[], double) - Constructor for class hex.optimization.OptimizationUtils.SimpleBacktrackingLS
 
SimpleBacktrackingLS(OptimizationUtils.GradientSolver, double[], double, OptimizationUtils.GradientInfo) - Constructor for class hex.optimization.OptimizationUtils.SimpleBacktrackingLS
 
single_node_mode - Variable in class hex.schemas.DeepLearningV3.DeepLearningParametersV3
Run on a single node for fine-tuning of model parameters.
single_node_mode - Variable in class hex.schemas.DeepWaterV3.DeepWaterParametersV3
Run on a single node for fine-tuning of model parameters.
singular_vals - Variable in class hex.schemas.GLRMModelV3.GLRMModelOutputV3
 
size() - Method in class hex.deeplearning.DeepLearningModelInfo
 
size() - Method in class hex.deeplearning.Storage.DenseColMatrix
 
size() - Method in class hex.deeplearning.Storage.DenseRowMatrix
 
size() - Method in class hex.deeplearning.Storage.DenseVector
 
size() - Method in interface hex.deeplearning.Storage.Matrix
 
size() - Method in class hex.deeplearning.Storage.SparseRowMatrix
 
size() - Method in interface hex.deeplearning.Storage.Tensor
 
size() - Method in interface hex.deeplearning.Storage.Vector
 
size() - Method in class hex.deepwater.DeepWaterModelInfo
 
size() - Method in class hex.tree.DTree.DecidedNode
 
size() - Method in class hex.tree.DTree.LeafNode
 
size() - Method in class hex.tree.DTree.Node
 
size() - Method in class hex.tree.DTree.UndecidedNode
 
sizeCensored - Variable in class hex.coxph.CoxPH.CoxPHTask
 
sizeEvents - Variable in class hex.coxph.CoxPH.CoxPHTask
 
sizeRiskSet - Variable in class hex.coxph.CoxPH.CoxPHTask
 
skip_missing - Variable in class hex.schemas.GramV3
 
slices() - Method in interface hex.deeplearning.Storage.Tensor
 
SMulTask(DataInfo, int) - Constructor for class hex.util.LinearAlgebraUtils.SMulTask
 
SMulTask(DataInfo, int, int) - Constructor for class hex.util.LinearAlgebraUtils.SMulTask
 
Softmax(int) - Constructor for class hex.deeplearning.Neurons.Softmax
 
solve(double[]) - Method in class hex.glm.GLM.GramSolver
 
solve(double[], double[]) - Method in class hex.glm.GLM.GramSolver
 
solve(double[], double[]) - Method in class hex.glm.GLM.ProximalGradientSolver
 
solve(double[][]) - Method in class hex.gram.Gram.Cholesky
 
solve(double[]) - Method in class hex.gram.Gram.Cholesky
Find solution to A*x = y.
solve(ADMM.ProximalSolver, double[], double, boolean) - Method in class hex.optimization.ADMM.L1Solver
 
solve(ADMM.ProximalSolver, double[], double, boolean, double[], double[]) - Method in class hex.optimization.ADMM.L1Solver
 
solve(double[], double[]) - Method in interface hex.optimization.ADMM.ProximalSolver
 
solve(OptimizationUtils.GradientSolver, double[], OptimizationUtils.GradientInfo, L_BFGS.ProgressMonitor) - Method in class hex.optimization.L_BFGS
Solve the optimization problem defined by the user-supplied ginfo function using L-BFGS algorithm.
solve(OptimizationUtils.GradientSolver, double[]) - Method in class hex.optimization.L_BFGS
Solve the optimization problem defined by the user-supplied ginfo function using L-BFGS algorithm.
solver - Variable in class hex.schemas.GLMV3.GLMParametersV3
 
sparse - Variable in class hex.schemas.DeepLearningV3.DeepLearningParametersV3
 
sparse - Variable in class hex.schemas.DeepWaterV3.DeepWaterParametersV3
 
sparseness() - Method in class hex.gram.Gram
 
sparseOffset(double[], DataInfo) - Static method in class hex.glm.GLM
 
sparsity_beta - Variable in class hex.schemas.DeepLearningV3.DeepLearningParametersV3
 
Split(int, int, DHistogram.NASplitDir, IcedBitSet, byte, double, double, double, double, double, double, double) - Constructor for class hex.tree.DTree.Split
 
StackedEnsemble - Class in hex.ensemble
An ensemble of other models, created by stacking with the SuperLearner algorithm or a variation.
StackedEnsemble(StackedEnsembleModel.StackedEnsembleParameters) - Constructor for class hex.ensemble.StackedEnsemble
 
StackedEnsemble(boolean) - Constructor for class hex.ensemble.StackedEnsemble
 
StackedEnsembleModel - Class in hex
An ensemble of other models, created by stacking with the SuperLearner algorithm or a variation.
StackedEnsembleModel(Key, StackedEnsembleModel.StackedEnsembleParameters, StackedEnsembleModel.StackedEnsembleOutput) - Constructor for class hex.StackedEnsembleModel
 
StackedEnsembleModel.StackedEnsembleOutput - Class in hex
 
StackedEnsembleModel.StackedEnsembleParameters - Class in hex
 
StackedEnsembleModel.StackedEnsembleParameters.MetalearnerAlgorithm - Enum in hex
 
StackedEnsembleModelOutputV99() - Constructor for class hex.schemas.StackedEnsembleModelV99.StackedEnsembleModelOutputV99
 
StackedEnsembleModelV99 - Class in hex.schemas
 
StackedEnsembleModelV99() - Constructor for class hex.schemas.StackedEnsembleModelV99
 
StackedEnsembleModelV99.StackedEnsembleModelOutputV99 - Class in hex.schemas
 
StackedEnsembleMojoWriter - Class in hex.ensemble
 
StackedEnsembleMojoWriter() - Constructor for class hex.ensemble.StackedEnsembleMojoWriter
 
StackedEnsembleMojoWriter(StackedEnsembleModel) - Constructor for class hex.ensemble.StackedEnsembleMojoWriter
 
StackedEnsembleOutput() - Constructor for class hex.StackedEnsembleModel.StackedEnsembleOutput
 
StackedEnsembleOutput(StackedEnsemble) - Constructor for class hex.StackedEnsembleModel.StackedEnsembleOutput
 
StackedEnsembleOutput(Job) - Constructor for class hex.StackedEnsembleModel.StackedEnsembleOutput
 
StackedEnsembleParameters() - Constructor for class hex.StackedEnsembleModel.StackedEnsembleParameters
 
StackedEnsembleParametersV99() - Constructor for class hex.schemas.StackedEnsembleV99.StackedEnsembleParametersV99
 
StackedEnsembleV99 - Class in hex.schemas
 
StackedEnsembleV99() - Constructor for class hex.schemas.StackedEnsembleV99
 
StackedEnsembleV99.StackedEnsembleParametersV99 - Class in hex.schemas
 
standardize(double[], double[]) - Method in class hex.DataInfo.Row
 
standardize - Variable in class hex.schemas.DataInfoFrameV3
 
standardize - Variable in class hex.schemas.DeepLearningV3.DeepLearningParametersV3
 
standardize - Variable in class hex.schemas.DeepWaterV3.DeepWaterParametersV3
 
standardize - Variable in class hex.schemas.GLMV3.GLMParametersV3
 
standardize - Variable in class hex.schemas.GramV3
 
standardize - Variable in class hex.schemas.KMeansV3.KMeansParametersV3
 
start_column - Variable in class hex.schemas.CoxPHV3.CoxPHParametersV3
 
startCoefs(int, long) - Static method in class hex.optimization.L_BFGS
 
stdErr() - Method in class hex.glm.GLMModel.GLMOutput
 
step() - Method in interface hex.optimization.OptimizationUtils.LineSearchSolver
 
step() - Method in class hex.optimization.OptimizationUtils.MoreThuente
 
step() - Method in class hex.optimization.OptimizationUtils.SimpleBacktrackingLS
 
step_size - Variable in class hex.schemas.GLRMModelV3.GLRMModelOutputV3
 
stop_column - Variable in class hex.schemas.CoxPHV3.CoxPHParametersV3
 
stopped_early - Variable in class hex.deeplearning.DeepLearningModel
 
Storage - Class in hex.deeplearning
 
Storage() - Constructor for class hex.deeplearning.Storage
 
Storage.DenseColMatrix - Class in hex.deeplearning
Dense column matrix implementation
Storage.DenseRowMatrix - Class in hex.deeplearning
Dense row matrix implementation
Storage.DenseVector - Class in hex.deeplearning
Dense vector implementation
Storage.Matrix - Interface in hex.deeplearning
Abstract matrix interface
Storage.SparseRowMatrix - Class in hex.deeplearning
Sparse row matrix implementation
Storage.Tensor - Interface in hex.deeplearning
Abstract tensor interface
Storage.Vector - Interface in hex.deeplearning
Abstract vector interface
str() - Method in class water.rapids.prims.word2vec.AstWord2VecToFrame
 
subgrad(double, double[], double[]) - Static method in class hex.optimization.ADMM
 
Submodel(double, double[], int, double, double) - Constructor for class hex.glm.GLMModel.Submodel
 
sumLogRiskEvents - Variable in class hex.coxph.CoxPH.CoxPHTask
 
summaryTable - Variable in class hex.deeplearning.DeepLearningModelInfo
 
sumRiskEvents - Variable in class hex.coxph.CoxPH.CoxPHTask
 
sumWeightedCatX - Variable in class hex.coxph.CoxPH.CoxPHTask
 
sumWeightedNumX - Variable in class hex.coxph.CoxPH.CoxPHTask
 
sumWeights - Variable in class hex.coxph.CoxPH.CoxPHTask
 
sumXEvents - Variable in class hex.coxph.CoxPH.CoxPHTask
 
sumXRiskEvents - Variable in class hex.coxph.CoxPH.CoxPHTask
 
sumXXRiskEvents - Variable in class hex.coxph.CoxPH.CoxPHTask
 
SVD - Class in hex.svd
SVD(SVDModel.SVDParameters) - Constructor for class hex.svd.SVD
 
SVD(SVDModel.SVDParameters, Job) - Constructor for class hex.svd.SVD
 
SVD(SVDModel.SVDParameters, Job, boolean, GLRMModel) - Constructor for class hex.svd.SVD
 
SVD(boolean) - Constructor for class hex.svd.SVD
 
svd_method - Variable in class hex.schemas.GLRMV3.GLRMParametersV3
 
svd_method - Variable in class hex.schemas.SVDV99.SVDParametersV99
 
SVDModel - Class in hex.svd
 
SVDModel(Key<SVDModel>, SVDModel.SVDParameters, SVDModel.SVDOutput) - Constructor for class hex.svd.SVDModel
 
SVDModel.ModelMetricsSVD - Class in hex.svd
 
SVDModel.ModelMetricsSVD.SVDModelMetrics - Class in hex.svd
 
SVDModel.SVDOutput - Class in hex.svd
 
SVDModel.SVDParameters - Class in hex.svd
 
SVDModel.SVDParameters.Method - Enum in hex.svd
 
SVDModelMetrics(int) - Constructor for class hex.svd.SVDModel.ModelMetricsSVD.SVDModelMetrics
 
SVDModelOutputV99() - Constructor for class hex.schemas.SVDModelV99.SVDModelOutputV99
 
SVDModelV99 - Class in hex.schemas
 
SVDModelV99() - Constructor for class hex.schemas.SVDModelV99
 
SVDModelV99.SVDModelOutputV99 - Class in hex.schemas
 
SVDOutput(SVD) - Constructor for class hex.svd.SVDModel.SVDOutput
 
SVDParameters() - Constructor for class hex.svd.SVDModel.SVDParameters
 
SVDParametersV99() - Constructor for class hex.schemas.SVDV99.SVDParametersV99
 
SVDV99 - Class in hex.schemas
 
SVDV99() - Constructor for class hex.schemas.SVDV99
 
SVDV99.SVDParametersV99 - Class in hex.schemas
 
synonyms - Variable in class hex.schemas.Word2VecSynonymsV3
 

T

Tanh(int) - Constructor for class hex.deeplearning.Neurons.Tanh
 
TanhDropout(int) - Constructor for class hex.deeplearning.Neurons.TanhDropout
 
target_num_exemplars - Variable in class hex.schemas.AggregatorV99.AggregatorParametersV99
 
target_ratio_comm_to_comp - Variable in class hex.schemas.DeepLearningV3.DeepLearningParametersV3
 
target_ratio_comm_to_comp - Variable in class hex.schemas.DeepWaterV3.DeepWaterParametersV3
 
threshold - Variable in class hex.schemas.MakeGLMModelV3
 
ties - Variable in class hex.schemas.CoxPHV3.CoxPHParametersV3
 
time_for_communication_us - Variable in class hex.deeplearning.DeepLearningModel
 
timeAverage(DeepLearningModelInfo) - Static method in class hex.deeplearning.DeepLearningModelInfo
TimeAveraging as part of Elastic Averaging Algorithm Cf.
toEigen - Static variable in class hex.util.LinearAlgebraUtils
 
toEigen(Vec) - Static method in class hex.util.LinearAlgebraUtils
 
toFrame(Key) - Method in class hex.deeplearning.Storage.DenseColMatrix
 
toFrame(Key) - Method in class hex.deeplearning.Storage.DenseRowMatrix
 
toFrame(Key) - Method in class hex.deeplearning.Storage.DenseVector
 
toFrame(Key) - Method in interface hex.deeplearning.Storage.Matrix
 
toFrame(Key) - Method in class hex.deeplearning.Storage.SparseRowMatrix
 
toFrame(int, Key) - Method in interface hex.deeplearning.Storage.Tensor
 
toFrame(Key) - Method in interface hex.deeplearning.Storage.Vector
 
toFrame() - Method in class hex.word2vec.Word2VecModel
Converts this word2vec model to a Frame.
toJavaCheckTooBig() - Method in class hex.deeplearning.DeepLearningModel
 
toJavaCheckTooBig() - Method in class hex.glm.GLMModel
 
toJavaCheckTooBig() - Method in class hex.kmeans.KMeansModel
 
toJavaCheckTooBig() - Method in class hex.tree.SharedTreeModel
 
toJavaForestName(T, String, int) - Method in class hex.tree.SharedTreeModel
 
toJavaInit(SBPrintStream, CodeGeneratorPipeline) - Method in class hex.deeplearning.DeepLearningModel
 
toJavaInit(SBPrintStream, CodeGeneratorPipeline) - Method in class hex.glm.GLMModel
 
toJavaInit(SBPrintStream, CodeGeneratorPipeline) - Method in class hex.naivebayes.NaiveBayesModel
 
toJavaInit(SBPrintStream, CodeGeneratorPipeline) - Method in class hex.pca.PCAModel
 
toJavaInit(SBPrintStream, CodeGeneratorPipeline) - Method in class hex.svd.SVDModel
 
toJavaInit(SBPrintStream, CodeGeneratorPipeline) - Method in class hex.tree.SharedTreeModel
 
toJavaPredictBody(SBPrintStream, CodeGeneratorPipeline, CodeGeneratorPipeline, boolean) - Method in class hex.deeplearning.DeepLearningModel
 
toJavaPredictBody(SBPrintStream, CodeGeneratorPipeline, CodeGeneratorPipeline, boolean) - Method in class hex.glm.GLMModel
 
toJavaPredictBody(SBPrintStream, CodeGeneratorPipeline, CodeGeneratorPipeline, boolean) - Method in class hex.kmeans.KMeansModel
 
toJavaPredictBody(SBPrintStream, CodeGeneratorPipeline, CodeGeneratorPipeline, boolean) - Method in class hex.naivebayes.NaiveBayesModel
 
toJavaPredictBody(SBPrintStream, CodeGeneratorPipeline, CodeGeneratorPipeline, boolean) - Method in class hex.pca.PCAModel
 
toJavaPredictBody(SBPrintStream, CodeGeneratorPipeline, CodeGeneratorPipeline, boolean) - Method in class hex.svd.SVDModel
 
toJavaPredictBody(SBPrintStream, CodeGeneratorPipeline, CodeGeneratorPipeline, boolean) - Method in class hex.tree.SharedTreeModel
 
toJavaTransform(SBPrintStream, CodeGeneratorPipeline, boolean) - Method in class hex.kmeans.KMeansModel
 
toJavaTreeName(T, String, int, int) - Method in class hex.tree.SharedTreeModel
 
toJavaUnifyPreds(SBPrintStream) - Method in class hex.tree.drf.DRFModel
 
toJavaUnifyPreds(SBPrintStream) - Method in class hex.tree.gbm.GBMModel
 
toJavaUnifyPreds(SBPrintStream) - Method in class hex.tree.SharedTreeModel
 
toString() - Method in class hex.DataInfo.Row
 
toString() - Method in class hex.deeplearning.DeepLearningModelInfo
Print a summary table
toString() - Method in class hex.deeplearning.Dropout
 
toString() - Method in class hex.deeplearning.Neurons
Print the status of this neuron layer
toString() - Method in class hex.deepwater.DeepWaterModelInfo
Print a summary table
toString() - Method in class hex.glm.ComputationState
 
toString() - Method in class hex.glm.GLM.BetaConstraint
 
toString() - Method in class hex.glm.GLM.GLMGradientInfo
 
toString() - Method in class hex.gram.Gram
 
toString() - Method in class hex.optimization.ADMM.L1Solver
 
toString() - Method in class hex.optimization.L_BFGS.Result
 
toString() - Method in class hex.optimization.OptimizationUtils.GradientInfo
 
toString() - Method in class hex.optimization.OptimizationUtils.MoreThuente
 
toString() - Method in class hex.optimization.OptimizationUtils.SimpleBacktrackingLS
 
toString(SharedTreeModel.SharedTreeOutput) - Method in class hex.tree.CompressedTree
 
toString() - Method in class hex.tree.DHistogram
 
toString() - Method in class hex.tree.DTree.DecidedNode
 
toString() - Method in class hex.tree.DTree.LeafNode
 
toString() - Method in class hex.tree.DTree.Split
 
toString() - Method in class hex.tree.DTree.UndecidedNode
 
toString() - Method in class hex.tree.TreeStats
 
toString2(StringBuilder, int) - Method in class hex.tree.DTree.DecidedNode
 
toString2(StringBuilder, int) - Method in class hex.tree.DTree.LeafNode
 
toString2(StringBuilder, int) - Method in class hex.tree.DTree.Node
 
toString2(StringBuilder, int) - Method in class hex.tree.DTree.UndecidedNode
 
toStringAll() - Method in class hex.deeplearning.DeepLearningModelInfo
Debugging printout
toStringAll() - Method in class hex.deepwater.DeepWaterModelInfo
Debugging printout
toStringTree(int, int) - Method in class hex.tree.SharedTreeModel.SharedTreeOutput
 
total_checkpointed_run_time_ms - Variable in class hex.deeplearning.DeepLearningModel
 
total_scoring_time_ms - Variable in class hex.deeplearning.DeepLearningModel
 
total_setup_time_ms - Variable in class hex.deeplearning.DeepLearningModel
 
total_training_time_ms - Variable in class hex.deeplearning.DeepLearningModel
 
train_samples_per_iteration - Variable in class hex.schemas.DeepLearningV3.DeepLearningParametersV3
The number of training data rows to be processed per iteration.
train_samples_per_iteration - Variable in class hex.schemas.DeepWaterV3.DeepWaterParametersV3
The number of training data rows to be processed per iteration.
training_rows - Variable in class hex.deeplearning.DeepLearningModel
 
training_samples - Variable in class hex.deeplearning.DeepLearningScoringInfo
 
training_samples() - Method in class hex.deeplearning.DeepLearningScoringInfo
 
training_samples() - Method in class hex.deepwater.DeepWaterScoringInfo
 
trainingFrameRows - Variable in class hex.StackedEnsembleModel
 
trainModel(DeepLearningModel) - Method in class hex.deeplearning.DeepLearning.DeepLearningDriver
Train a Deep Learning neural net model
trainModel(DeepWaterModel) - Method in class hex.deepwater.DeepWater.DeepWaterDriver
Train a Deep Learning neural net model
trainModelImpl() - Method in class hex.aggregator.Aggregator
 
trainModelImpl() - Method in class hex.coxph.CoxPH
 
trainModelImpl() - Method in class hex.deeplearning.DeepLearning
 
trainModelImpl() - Method in class hex.deepwater.DeepWater
 
trainModelImpl() - Method in class hex.ensemble.StackedEnsemble
 
trainModelImpl() - Method in class hex.example.Example
 
trainModelImpl() - Method in class hex.glm.GLM
 
trainModelImpl() - Method in class hex.glrm.GLRM
 
trainModelImpl() - Method in class hex.grep.Grep
 
trainModelImpl() - Method in class hex.kmeans.KMeans
Start the KMeans training Job on an F/J thread.
trainModelImpl() - Method in class hex.naivebayes.NaiveBayes
 
trainModelImpl() - Method in class hex.pca.PCA
 
trainModelImpl() - Method in class hex.svd.SVD
 
trainModelImpl() - Method in class hex.tree.drf.DRF
Start the DRF training Job on an F/J thread.
trainModelImpl() - Method in class hex.tree.gbm.GBM
Start the GBM training Job on an F/J thread.
trainModelImpl() - Method in class hex.word2vec.Word2Vec
 
transform(int, Word2VecTransformV3) - Method in class hex.api.Word2VecHandler
 
transform(double[][], double[], double[], int, int) - Static method in class hex.glrm.GLRM
 
transform - Variable in class hex.schemas.AggregatorV99.AggregatorParametersV99
 
transform - Variable in class hex.schemas.GLRMV3.GLRMParametersV3
 
transform - Variable in class hex.schemas.PCAV3.PCAParametersV3
 
transform - Variable in class hex.schemas.SVDV99.SVDParametersV99
 
transform(String) - Method in class hex.word2vec.Word2VecModel
Takes an input string can return the word vector for that word.
transform(Vec, Word2VecModel.AggregateMethod) - Method in class hex.word2vec.Word2VecModel
 
transformEigenVectors(DataInfo, double[][]) - Static method in class hex.util.DimensionReductionUtils
This function will tranform the eigenvectors calculated for a matrix T(A) to the ones calculated for matrix A.
tree0Index - Variable in class hex.tree.SharedTree.FrameMap
 
TreeMeasures(int) - Constructor for class hex.tree.drf.TreeMeasuresCollector.TreeMeasures
 
TreeMeasures(double[], int) - Constructor for class hex.tree.drf.TreeMeasuresCollector.TreeMeasures
 
TreeMeasuresCollector - Class in hex.tree.drf
Score given tree model and preserve errors per tree in form of votes (for classification) or MSE (for regression).
TreeMeasuresCollector.ShuffleTask - Class in hex.tree.drf
 
TreeMeasuresCollector.TreeMeasures<T extends TreeMeasuresCollector.TreeMeasures> - Class in hex.tree.drf
A simple holder for set of different tree measurements.
TreeMeasuresCollector.TreeSSE - Class in hex.tree.drf
A simple holder serving SSE per tree.
TreeMeasuresCollector.TreeVotes - Class in hex.tree.drf
A class holding tree votes.
TreeSSE(int) - Constructor for class hex.tree.drf.TreeMeasuresCollector.TreeSSE
 
TreeSSE(float[], double[], int) - Constructor for class hex.tree.drf.TreeMeasuresCollector.TreeSSE
 
TreeStats - Class in hex.tree
 
TreeStats() - Constructor for class hex.tree.TreeStats
 
TreeStatsV3 - Class in hex.schemas
 
TreeStatsV3() - Constructor for class hex.schemas.TreeStatsV3
 
TreeVisitor<T extends java.lang.Exception> - Class in hex.tree
Abstract visitor class for serialized trees.
TreeVisitor(CompressedTree) - Constructor for class hex.tree.TreeVisitor
 
TreeVotes(int) - Constructor for class hex.tree.drf.TreeMeasuresCollector.TreeVotes
 
TreeVotes(double[], double[], int) - Constructor for class hex.tree.drf.TreeMeasuresCollector.TreeVotes
 
trim(Aggregator.Exemplar[]) - Static method in class hex.aggregator.Aggregator.Exemplar
Trim any training nulls
tweedie_link_power - Variable in class hex.schemas.GLMV3.GLMParametersV3
 
tweedie_variance_power - Variable in class hex.schemas.GLMV3.GLMParametersV3
 

U

u_key - Variable in class hex.schemas.SVDModelV99.SVDModelOutputV99
 
u_name - Variable in class hex.schemas.SVDV99.SVDParametersV99
 
undecided(int) - Method in class hex.tree.DTree
 
UNDECIDED_CHILD_NODE_ID - Static variable in class hex.tree.ScoreBuildHistogram
Marker for a fresh tree
UndecidedNode(DTree, int, DHistogram[]) - Constructor for class hex.tree.DTree.UndecidedNode
 
unit_active(int) - Method in class hex.deeplearning.Dropout
 
units - Variable in class hex.deeplearning.Neurons
 
unScaleNumericals(double[], double[]) - Method in class hex.DataInfo
Undo the standardization/normalization of numerical columns
update(double[], double, double, int) - Method in class hex.glm.GLMModel
 
updateBy(DTree) - Method in class hex.tree.TreeStats
 
updateHisto(double[], double[], double[], int[], int, int) - Method in class hex.tree.DHistogram
Update counts in appropriate bins.
updateIVVSum(double[][], double[]) - Static method in class hex.svd.SVD
 
updateModelInfo(Word2VecModel.Word2VecModelInfo) - Method in class hex.word2vec.WordVectorTrainer
 
updateProgress(boolean) - Method in class hex.glm.GLM.GLMDriver
 
updates - Variable in class hex.schemas.GLRMModelV3.GLRMModelOutputV3
 
updateSharedHistosAndReset(ScoreBuildHistogram.LocalHisto, double[], double[], double[], int[], int, int) - Method in class hex.tree.DHistogram
 
updateState(double[], double) - Method in class hex.glm.ComputationState
 
updateState(double[], GLM.GLMGradientInfo) - Method in class hex.glm.ComputationState
 
updateSubmodel(GLMModel.Submodel) - Method in class hex.glm.GLMModel
 
updateWeightedSigmaAndMean(double[], double[]) - Method in class hex.DataInfo
 
updateWeightedSigmaAndMeanForResponse(double[], double[]) - Method in class hex.DataInfo
 
updateXVecs(int, int) - Constructor for class hex.glrm.GLRM.updateXVecs
 
use_all - Variable in class hex.schemas.DataInfoFrameV3
 
use_all_factor_levels - Variable in class hex.schemas.AggregatorV99.AggregatorParametersV99
 
use_all_factor_levels - Variable in class hex.schemas.DeepLearningV3.DeepLearningParametersV3
 
use_all_factor_levels - Variable in class hex.schemas.GramV3
 
use_all_factor_levels - Variable in class hex.schemas.PCAV3.PCAParametersV3
 
use_all_factor_levels - Variable in class hex.schemas.SVDV99.SVDParametersV99
 
user_points - Variable in class hex.schemas.KMeansV3.KMeansParametersV3
 
user_x - Variable in class hex.schemas.GLRMV3.GLRMParametersV3
 
user_y - Variable in class hex.schemas.GLRMV3.GLRMParametersV3
 

V

v_key - Variable in class hex.schemas.SVDModelV99.SVDModelOutputV99
 
validate(GLM) - Method in class hex.glm.GLMModel.GLMParameters
 
validateWithCheckpoint(SharedTreeModel.SharedTreeParameters) - Method in class hex.tree.SharedTreeModel.SharedTreeParameters
This method will take actual parameters and validate them with parameters of requested checkpoint.
validation_rows - Variable in class hex.deeplearning.DeepLearningModel
 
validDinfo(Frame) - Method in class hex.DataInfo
 
validWorkspace() - Method in class hex.tree.SharedTree
 
value() - Method in enum hex.tree.DHistogram.NASplitDir
 
valueOf(String) - Static method in enum hex.coxph.CoxPHModel.CoxPHParameters.CoxPHTies
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum hex.DataInfo.TransformType
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum hex.deeplearning.DeepLearningModel.DeepLearningParameters.Activation
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum hex.deeplearning.DeepLearningModel.DeepLearningParameters.ClassSamplingMethod
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum hex.deeplearning.DeepLearningModel.DeepLearningParameters.InitialWeightDistribution
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum hex.deeplearning.DeepLearningModel.DeepLearningParameters.Loss
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum hex.deeplearning.DeepLearningModel.DeepLearningParameters.MissingValuesHandling
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum hex.deepwater.DeepWaterParameters.Activation
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum hex.deepwater.DeepWaterParameters.Backend
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum hex.deepwater.DeepWaterParameters.MissingValuesHandling
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum hex.deepwater.DeepWaterParameters.Network
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum hex.deepwater.DeepWaterParameters.ProblemType
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum hex.glm.GLMModel.GLMParameters.Family
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum hex.glm.GLMModel.GLMParameters.Link
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum hex.glm.GLMModel.GLMParameters.Solver
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum hex.kmeans.KMeans.Initialization
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum hex.pca.PCAModel.PCAParameters.Method
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum hex.StackedEnsembleModel.StackedEnsembleParameters.MetalearnerAlgorithm
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum hex.svd.SVDModel.SVDParameters.Method
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum hex.tree.DHistogram.NASplitDir
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum hex.tree.SharedTreeModel.SharedTreeParameters.HistogramType
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum hex.word2vec.Word2Vec.NormModel
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum hex.word2vec.Word2Vec.WordModel
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum hex.word2vec.Word2VecModel.AggregateMethod
Returns the enum constant of this type with the specified name.
values() - Static method in enum hex.coxph.CoxPHModel.CoxPHParameters.CoxPHTies
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum hex.DataInfo.TransformType
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum hex.deeplearning.DeepLearningModel.DeepLearningParameters.Activation
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum hex.deeplearning.DeepLearningModel.DeepLearningParameters.ClassSamplingMethod
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum hex.deeplearning.DeepLearningModel.DeepLearningParameters.InitialWeightDistribution
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum hex.deeplearning.DeepLearningModel.DeepLearningParameters.Loss
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum hex.deeplearning.DeepLearningModel.DeepLearningParameters.MissingValuesHandling
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum hex.deepwater.DeepWaterParameters.Activation
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum hex.deepwater.DeepWaterParameters.Backend
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum hex.deepwater.DeepWaterParameters.MissingValuesHandling
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum hex.deepwater.DeepWaterParameters.Network
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum hex.deepwater.DeepWaterParameters.ProblemType
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum hex.glm.GLMModel.GLMParameters.Family
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum hex.glm.GLMModel.GLMParameters.Link
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum hex.glm.GLMModel.GLMParameters.Solver
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum hex.kmeans.KMeans.Initialization
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum hex.pca.PCAModel.PCAParameters.Method
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum hex.StackedEnsembleModel.StackedEnsembleParameters.MetalearnerAlgorithm
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum hex.svd.SVDModel.SVDParameters.Method
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum hex.tree.DHistogram.NASplitDir
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum hex.tree.SharedTreeModel.SharedTreeParameters.HistogramType
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum hex.word2vec.Word2Vec.NormModel
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum hex.word2vec.Word2Vec.WordModel
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum hex.word2vec.Word2VecModel.AggregateMethod
Returns an array containing the constants of this enum type, in the order they are declared.
var(int) - Method in class hex.tree.DHistogram
compute the sample variance within a given bin
variable_importances - Variable in class hex.schemas.DeepLearningV3.DeepLearningParametersV3
Whether to compute variable importances for input features.
variable_importances - Variable in class hex.schemas.DeepWaterV3.DeepWaterParametersV3
Whether to compute variable importances for input features.
variance(double) - Method in class hex.glm.GLMModel.GLMParameters
 
variance(double) - Method in class hex.glm.GLMModel.GLMWeightsFun
 
varImp() - Method in class hex.deeplearning.DeepLearningModel
 
vcov() - Method in class hex.glm.GLMModel.GLMOutput
Variance Covariance matrix accessor.
vec_nids(Frame, int) - Method in class hex.tree.SharedTree
 
vec_offset(Frame) - Method in class hex.tree.SharedTree
 
vec_oobt(Frame) - Method in class hex.tree.SharedTree
 
vec_resp(Frame) - Method in class hex.tree.SharedTree
 
vec_size - Variable in class hex.schemas.Word2VecV3.Word2VecParametersV3
 
vec_tree(Frame, int) - Method in class hex.tree.SharedTree
 
vec_weight(Frame) - Method in class hex.tree.SharedTree
 
vec_work(Frame, int) - Method in class hex.tree.SharedTree
 
vectors_frame - Variable in class hex.schemas.Word2VecTransformV3
 
visit() - Method in class hex.tree.TreeVisitor
 
votes() - Method in class hex.tree.drf.TreeMeasuresCollector.TreeVotes
Returns number of positive votes per tree.

W

w - Variable in class hex.glm.GLMModel.GLMWeights
 
W - Variable in class hex.schemas.GramV3
 
w(int) - Method in class hex.tree.DHistogram
 
water.api - package water.api
 
water.rapids.prims.word2vec - package water.rapids.prims.word2vec
 
weight - Variable in class hex.DataInfo.Row
 
weightChunkId() - Method in class hex.DataInfo
 
weightIndex - Variable in class hex.tree.SharedTree.FrameMap
 
window_size - Variable in class hex.schemas.Word2VecV3.Word2VecParametersV3
 
wNA() - Method in class hex.tree.DHistogram
 
word - Variable in class hex.schemas.Word2VecSynonymsV3
 
Word2Vec - Class in hex.word2vec
 
Word2Vec(boolean) - Constructor for class hex.word2vec.Word2Vec
 
Word2Vec(Word2VecModel.Word2VecParameters) - Constructor for class hex.word2vec.Word2Vec
 
Word2Vec.NormModel - Enum in hex.word2vec
 
Word2Vec.WordModel - Enum in hex.word2vec
 
Word2VecHandler - Class in hex.api
 
Word2VecHandler() - Constructor for class hex.api.Word2VecHandler
 
Word2VecModel - Class in hex.word2vec
 
Word2VecModel(Key<Word2VecModel>, Word2VecModel.Word2VecParameters, Word2VecModel.Word2VecOutput) - Constructor for class hex.word2vec.Word2VecModel
 
Word2VecModel.AggregateMethod - Enum in hex.word2vec
 
Word2VecModel.Vocabulary - Class in hex.word2vec
 
Word2VecModel.Word2VecModelInfo - Class in hex.word2vec
 
Word2VecModel.Word2VecOutput - Class in hex.word2vec
 
Word2VecModel.Word2VecParameters - Class in hex.word2vec
 
Word2VecModel.WordCounts - Class in hex.word2vec
 
Word2VecModelInfo() - Constructor for class hex.word2vec.Word2VecModel.Word2VecModelInfo
 
Word2VecModelOutputV3() - Constructor for class hex.schemas.Word2VecModelV3.Word2VecModelOutputV3
 
Word2VecModelV3 - Class in hex.schemas
 
Word2VecModelV3() - Constructor for class hex.schemas.Word2VecModelV3
 
Word2VecModelV3.Word2VecModelOutputV3 - Class in hex.schemas
 
Word2VecMojoWriter - Class in hex.word2vec
MOJO serializer for word2vec model.
Word2VecMojoWriter() - Constructor for class hex.word2vec.Word2VecMojoWriter
 
Word2VecMojoWriter(Word2VecModel) - Constructor for class hex.word2vec.Word2VecMojoWriter
 
Word2VecOutput(Word2Vec) - Constructor for class hex.word2vec.Word2VecModel.Word2VecOutput
 
Word2VecParameters() - Constructor for class hex.word2vec.Word2VecModel.Word2VecParameters
 
Word2VecParametersV3() - Constructor for class hex.schemas.Word2VecV3.Word2VecParametersV3
 
Word2VecSynonymsV3 - Class in hex.schemas
 
Word2VecSynonymsV3() - Constructor for class hex.schemas.Word2VecSynonymsV3
 
Word2VecTransformV3 - Class in hex.schemas
 
Word2VecTransformV3() - Constructor for class hex.schemas.Word2VecTransformV3
 
Word2VecV3 - Class in hex.schemas
 
Word2VecV3() - Constructor for class hex.schemas.Word2VecV3
 
Word2VecV3.Word2VecParametersV3 - Class in hex.schemas
 
word_model - Variable in class hex.schemas.Word2VecV3.Word2VecParametersV3
 
WordCountTask - Class in hex.word2vec
Reduce a string column of a given Vec to a set of unique words and their frequency counts Currently the array is consolidated on the calling node.
words_frame - Variable in class hex.schemas.Word2VecTransformV3
 
WordVectorConverter - Class in hex.word2vec
 
WordVectorConverter(Job<Word2VecModel>, int, int) - Constructor for class hex.word2vec.WordVectorConverter
 
WordVectorTrainer - Class in hex.word2vec
 
WordVectorTrainer(Job<Word2VecModel>, Word2VecModel.Word2VecModelInfo) - Constructor for class hex.word2vec.WordVectorTrainer
 
work0Index - Variable in class hex.tree.SharedTree.FrameMap
 
WORK_TOTAL - Static variable in class hex.glm.GLM
 
write_impl(AutoBuffer) - Method in class hex.word2vec.WordCountTask
 
writeAll_impl(AutoBuffer) - Method in class hex.glrm.GLRMModel
 
writeAll_impl(AutoBuffer) - Method in class hex.StackedEnsembleModel
Write out models (base + metalearner)
writeAll_impl(AutoBuffer) - Method in class hex.svd.SVDModel
Write out K/V pairs
writeAll_impl(AutoBuffer) - Method in class hex.tree.SharedTreeModel
Write out K/V pairs
writeModelData() - Method in class hex.deeplearning.DeepLearningMojoWriter
 
writeModelData() - Method in class hex.deepwater.DeepwaterMojoWriter
 
writeModelData() - Method in class hex.glm.GLMMojoWriter
 
writeModelData() - Method in class hex.glrm.GlrmMojoWriter
 
writeModelData() - Method in class hex.kmeans.KMeansMojoWriter
 
writeModelData() - Method in class hex.tree.drf.DrfMojoWriter
 
writeModelData() - Method in class hex.tree.gbm.GbmMojoWriter
 
writeModelData() - Method in class hex.tree.SharedTreeMojoWriter
 
writeModelData() - Method in class hex.word2vec.Word2VecMojoWriter
 
writeParentModelData() - Method in class hex.ensemble.StackedEnsembleMojoWriter
 
wsum() - Method in class hex.glm.GLMTask.YMUTask
 
wY(int) - Method in class hex.tree.DHistogram
 
wYNA() - Method in class hex.tree.DHistogram
 
wYY(int) - Method in class hex.tree.DHistogram
 
wYYNA() - Method in class hex.tree.DHistogram
 

X

X - Variable in class hex.schemas.GramV3
 
xFrameVec(Chunk[], int, int) - Static method in class hex.glrm.GLRM
 
xy - Variable in class hex.glm.ComputationState.GramXY
 

Y

yArcheTypeVal(GLRM.Archetypes, int, int) - Static method in class hex.glrm.GLRM
 
YMUTask(DataInfo, int, boolean, boolean, boolean, boolean) - Constructor for class hex.glm.GLMTask.YMUTask
 
yy - Variable in class hex.glm.ComputationState.GramXY
 

Z

z - Variable in class hex.glm.GLMModel.GLMWeights
 
zValues() - Method in class hex.glm.GLMModel.GLMOutput
 

_

_a - Variable in class hex.deeplearning.Neurons
 
_abAux - Variable in class hex.tree.DTree
 
_activation - Variable in class hex.deeplearning.DeepLearningModel.DeepLearningParameters
The activation function (non-linearity) to be used the neurons in the hidden layers.
_activation - Variable in class hex.deepwater.DeepWaterParameters
The activation function (non-linearity) to be used the neurons in the hidden layers.
_activeCols - Variable in class hex.DataInfo
 
_adaptedFrame - Variable in class hex.DataInfo
 
_adaptive_rate - Variable in class hex.deeplearning.DeepLearningModel.DeepLearningParameters
The implemented adaptive learning rate algorithm (ADADELTA) automatically combines the benefits of learning rate annealing and momentum training to avoid slow convergence.
_alpha - Variable in class hex.glm.GLMModel.GLMParameters
 
_apriori - Variable in class hex.naivebayes.NaiveBayesModel.NaiveBayesOutput
 
_apriori_raw - Variable in class hex.naivebayes.NaiveBayesModel.NaiveBayesOutput
 
_archetypes - Variable in class hex.glrm.GLRMModel.GLRMOutput
 
_archetypes_raw - Variable in class hex.glrm.GLRMModel.GLRMOutput
 
_atq - Variable in class hex.util.LinearAlgebraUtils.SMulTask
 
_autoencoder - Variable in class hex.deeplearning.DeepLearningModel.DeepLearningParameters
 
_autoencoder - Variable in class hex.deepwater.DeepWaterParameters
 
_average_activation - Variable in class hex.deeplearning.DeepLearningModel.DeepLearningParameters
 
_avg_a - Variable in class hex.deeplearning.Neurons
 
_avg_change_obj - Variable in class hex.glrm.GLRMModel.GLRMOutput
 
_b - Variable in class hex.deeplearning.Neurons
 
_backend - Variable in class hex.deepwater.DeepWaterParameters
 
_base_models - Variable in class hex.StackedEnsembleModel.StackedEnsembleParameters
 
_bEA - Variable in class hex.deeplearning.Neurons
 
_best_lambda_idx - Variable in class hex.glm.GLMModel.GLMOutput
 
_beta_constraints - Variable in class hex.glm.GLMModel.GLMParameters
 
_beta_epsilon - Variable in class hex.glm.GLMModel.GLMParameters
 
_betweenss - Variable in class hex.kmeans.KMeansModel.KMeansOutput
 
_bin - Variable in class hex.tree.DTree.Split
 
_binomial - Variable in class hex.glm.GLMModel.GLMOutput
 
_binomial_double_trees - Variable in class hex.tree.drf.DRFModel.DRFParameters
 
_build_tree_one_node - Variable in class hex.tree.SharedTreeModel.SharedTreeParameters
 
_byte_size - Variable in class hex.tree.TreeStats
 
_cache_data - Variable in class hex.deepwater.DeepWaterParameters
 
_calib - Variable in class hex.tree.SharedTree
 
_calib_model - Variable in class hex.tree.SharedTreeModel.SharedTreeOutput
 
_calibrate_model - Variable in class hex.tree.SharedTreeModel.SharedTreeParameters
 
_calibration_frame - Variable in class hex.tree.SharedTreeModel.SharedTreeParameters
 
_catcnt - Variable in class hex.glrm.ModelMetricsGLRM
 
_catcnt - Variable in class hex.glrm.ModelMetricsGLRM.GlrmModelMetricsBuilder
 
_categorical_column_count - Variable in class hex.kmeans.KMeansModel.KMeansOutput
 
_caterr - Variable in class hex.glrm.ModelMetricsGLRM
 
_catLvls - Variable in class hex.DataInfo
 
_catMissing - Variable in class hex.DataInfo
 
_catOffsets - Variable in class hex.DataInfo
 
_catOffsets - Variable in class hex.glrm.GLRMModel.GLRMOutput
 
_catOffsets - Variable in class hex.pca.PCAModel.PCAOutput
 
_catOffsets - Variable in class hex.svd.SVDModel.SVDOutput
 
_cats - Variable in class hex.DataInfo
 
_cforest - Variable in class hex.tree.DTreeScorer
 
_channels - Variable in class hex.deepwater.DeepWaterParameters
 
_classification_stop - Variable in class hex.deeplearning.DeepLearningModel.DeepLearningParameters
The stopping criteria in terms of classification error (1-accuracy) on the training data scoring dataset.
_clip_gradient - Variable in class hex.deepwater.DeepWaterParameters
 
_coefficient_names - Variable in class hex.glm.GLMModel.RegularizationPath
 
_coefficients - Variable in class hex.glm.GLMModel.RegularizationPath
 
_coefficients_std - Variable in class hex.glm.GLMModel.RegularizationPath
 
_coefNames - Variable in class hex.DataInfo
 
_col - Variable in class hex.tree.DTree.Split
 
_col_major - Variable in class hex.deeplearning.DeepLearningModel.DeepLearningParameters
 
_col_sample_rate - Variable in class hex.tree.gbm.GBMModel.GBMParameters
 
_col_sample_rate_change_per_level - Variable in class hex.tree.SharedTreeModel.SharedTreeParameters
 
_col_sample_rate_per_tree - Variable in class hex.tree.SharedTreeModel.SharedTreeParameters
 
_cols - Variable in class hex.tree.DTree
 
_compute_metrics - Variable in class hex.naivebayes.NaiveBayesModel.NaiveBayesParameters
 
_compute_metrics - Variable in class hex.pca.PCAModel.PCAParameters
 
_compute_p_values - Variable in class hex.glm.GLMModel.GLMParameters
 
_counts - Variable in class hex.aggregator.AggregatorModel
 
_ct - Variable in class hex.tree.TreeVisitor
 
_cv - Variable in class hex.glm.GLM
 
_d - Variable in class hex.svd.SVDModel.SVDOutput
 
_depth - Variable in class hex.tree.DTree
 
_depth - Variable in class hex.tree.TreeVisitor
 
_device_id - Variable in class hex.deepwater.DeepWaterParameters
 
_diag - Variable in class hex.gram.Gram
 
_diag - Variable in class hex.gram.Gram.Cholesky
 
_diagAdded - Variable in class hex.gram.Gram
 
_diagN - Variable in class hex.gram.Gram
 
_diagnostics - Variable in class hex.deeplearning.DeepLearningModel.DeepLearningParameters
Gather diagnostics for hidden layers, such as mean and RMS values of learning rate, momentum, weights and biases.
_dinfo - Variable in class hex.FrameTask
 
_dinfo - Variable in class hex.FrameTask2
 
_dinfo - Variable in class hex.gram.Gram.OuterGramTask
 
_domains - Variable in class hex.tree.CompressedForest
 
_domains - Variable in class hex.tree.CompressedForest.LocalCompressedForest
 
_dropout - Variable in class hex.deeplearning.Neurons
For Dropout training
_e - Variable in class hex.deeplearning.Neurons
 
_early_stopping - Variable in class hex.glm.GLMModel.GLMParameters
 
_eigenvectors - Variable in class hex.glrm.GLRMModel.GLRMOutput
 
_eigenvectors - Variable in class hex.pca.PCAModel.PCAOutput
 
_eigenvectors_raw - Variable in class hex.glrm.GLRMModel.GLRMOutput
 
_eigenvectors_raw - Variable in class hex.pca.PCAModel.PCAOutput
 
_elastic_averaging - Variable in class hex.deeplearning.DeepLearningModel.DeepLearningParameters
 
_elastic_averaging_moving_rate - Variable in class hex.deeplearning.DeepLearningModel.DeepLearningParameters
 
_elastic_averaging_regularization - Variable in class hex.deeplearning.DeepLearningModel.DeepLearningParameters
 
_epochs - Variable in class hex.deeplearning.DeepLearningModel.DeepLearningParameters
The number of passes over the training dataset to be carried out.
_epochs - Variable in class hex.deepwater.DeepWaterParameters
The number of passes over the training dataset to be carried out.
_epochs - Variable in class hex.word2vec.Word2VecModel.Word2VecOutput
 
_epochs - Variable in class hex.word2vec.Word2VecModel.Word2VecParameters
 
_eps_prob - Variable in class hex.naivebayes.NaiveBayesModel.NaiveBayesParameters
 
_eps_sdev - Variable in class hex.naivebayes.NaiveBayesModel.NaiveBayesParameters
 
_epsilon - Variable in class hex.deeplearning.DeepLearningModel.DeepLearningParameters
The second of two hyper parameters for adaptive learning rate (ADADELTA).
_estimate_k - Variable in class hex.kmeans.KMeansModel.KMeansParameters
 
_exactLambdas - Variable in class hex.glm.GLMModel.GLMParameters
 
_exemplar_assignment_vec_key - Variable in class hex.aggregator.AggregatorModel
 
_exemplars - Variable in class hex.aggregator.AggregatorModel
 
_expand_user_y - Variable in class hex.glrm.GLRMModel.GLRMParameters
 
_explained_deviance_train - Variable in class hex.glm.GLMModel.RegularizationPath
 
_explained_deviance_valid - Variable in class hex.glm.GLMModel.RegularizationPath
 
_export_native_parameters_prefix - Variable in class hex.deepwater.DeepWaterParameters
 
_export_weights_and_biases - Variable in class hex.deeplearning.DeepLearningModel.DeepLearningParameters
 
_family - Variable in class hex.glm.GLMModel.GLMParameters
 
_fast_mode - Variable in class hex.deeplearning.DeepLearningModel.DeepLearningParameters
Enable fast mode (minor approximation in back-propagation), should not affect results significantly.
_fold - Variable in class hex.DataInfo
 
_force_load_balance - Variable in class hex.deeplearning.DeepLearningModel.DeepLearningParameters
Increase training speed on small datasets by splitting it into many chunks to allow utilization of all cores.
_forest - Variable in class hex.tree.DTreeScorer
 
_frame2DProduce - Variable in class hex.gram.Gram
 
_fullInfo - Variable in class hex.glm.ComputationState.GLMSubsetGinfo
 
_gamma_x - Variable in class hex.glrm.GLRMModel.GLRMParameters
 
_gamma_y - Variable in class hex.glrm.GLRMModel.GLRMParameters
 
_generatedWeights - Variable in class hex.glm.GLM
 
_globalQuantilesKey - Variable in class hex.tree.DHistogram
 
_gpu - Variable in class hex.deepwater.DeepWaterParameters
 
_gradient - Variable in class hex.optimization.OptimizationUtils.GradientInfo
 
_gradient_epsilon - Variable in class hex.glm.GLMModel.GLMParameters
 
_gram - Variable in class hex.glm.GLMTask.GLMIterationTask
 
_gram - Variable in class hex.glm.GLMTask.LSTask
 
_gram - Variable in class hex.gram.Gram.GramTask
 
_gram - Variable in class hex.gram.Gram.OuterGramTask
 
_hasQuantiles - Variable in class hex.tree.DHistogram
 
_hidden - Variable in class hex.deeplearning.DeepLearningModel.DeepLearningParameters
The number and size of each hidden layer in the model.
_hidden - Variable in class hex.deepwater.DeepWaterParameters
The number and size of each hidden layer in the model.
_hidden_dropout_ratios - Variable in class hex.deeplearning.DeepLearningModel.DeepLearningParameters
A fraction of the inputs for each hidden layer to be omitted from training in order to improve generalization.
_hidden_dropout_ratios - Variable in class hex.deepwater.DeepWaterParameters
A fraction of the inputs for each hidden layer to be omitted from training in order to improve generalization.
_histogram_type - Variable in class hex.tree.SharedTreeModel.SharedTreeParameters
 
_history_average_SEE - Variable in class hex.svd.SVDModel.SVDOutput
 
_history_eigenVectorIndex - Variable in class hex.svd.SVDModel.SVDOutput
 
_history_err - Variable in class hex.svd.SVDModel.SVDOutput
 
_history_objective - Variable in class hex.glrm.GLRMModel.GLRMOutput
 
_history_step_size - Variable in class hex.glrm.GLRMModel.GLRMOutput
 
_history_withinss - Variable in class hex.kmeans.KMeansModel.KMeansOutput
 
_histoType - Variable in class hex.tree.DHistogram
 
_hs - Variable in class hex.tree.DTree.UndecidedNode
 
_image_shape - Variable in class hex.deepwater.DeepWaterParameters
 
_importance - Variable in class hex.glrm.GLRMModel.GLRMOutput
 
_importance - Variable in class hex.pca.PCAModel.PCAOutput
 
_impute_missing - Variable in class hex.pca.PCAModel.PCAParameters
 
_impute_missing - Variable in class hex.svd.SVDModel.SVDParameters
 
_impute_original - Variable in class hex.glrm.GLRMModel.GLRMParameters
 
_impute_original - Variable in class hex.glrm.ModelMetricsGLRM.GlrmModelMetricsBuilder
 
_imputeMissing - Variable in class hex.DataInfo
 
_index - Variable in class hex.deeplearning.Neurons
 
_init - Variable in class hex.coxph.CoxPHModel.CoxPHParameters
 
_init - Variable in class hex.glrm.GLRMModel.GLRMParameters
 
_init - Variable in class hex.kmeans.KMeansModel.KMeansParameters
 
_init_f - Variable in class hex.tree.SharedTreeModel.SharedTreeOutput
InitF value (for zero trees) f0 = mean(yi) for gaussian f0 = log(yi/1-yi) for bernoulli For GBM bernoulli, the initial prediction for 0 trees is p = 1/(1+exp(-f0)) From this, the mse for 0 trees (null model) can be computed as follows: mean((yi-p)^2)
_init_key - Variable in class hex.glrm.GLRMModel.GLRMOutput
 
_init_learning_rate - Variable in class hex.word2vec.Word2VecModel.Word2VecParameters
 
_init_step_size - Variable in class hex.glrm.GLRMModel.GLRMParameters
 
_initial_biases - Variable in class hex.deeplearning.DeepLearningModel.DeepLearningParameters
Frame keys for initial bias vectors
_initial_score_interval - Variable in class hex.tree.SharedTreeModel.SharedTreeParameters
 
_initial_weight_distribution - Variable in class hex.deeplearning.DeepLearningModel.DeepLearningParameters
The distribution from which initial weights are to be drawn.
_initial_weight_scale - Variable in class hex.deeplearning.DeepLearningModel.DeepLearningParameters
The scale of the distribution function for Uniform or Normal distributions.
_initial_weights - Variable in class hex.deeplearning.DeepLearningModel.DeepLearningParameters
Frame keys for initial weight matrices
_initialPrediction - Variable in class hex.tree.SharedTree
 
_input - Variable in class hex.deeplearning.Neurons
 
_input_dropout_ratio - Variable in class hex.deeplearning.DeepLearningModel.DeepLearningParameters
A fraction of the features for each training row to be omitted from training in order to improve generalization (dimension sampling).
_input_dropout_ratio - Variable in class hex.deepwater.DeepWaterParameters
A fraction of the features for each training row to be omitted from training in order to improve generalization (dimension sampling).
_interaction_pairs - Variable in class hex.glm.GLMModel.GLMParameters
 
_interactions - Variable in class hex.DataInfo
 
_interactions - Variable in class hex.glm.GLMModel.GLMParameters
 
_interactionSpec - Variable in class hex.DataInfo
 
_interactionVecs - Variable in class hex.DataInfo
 
_intercept - Variable in class hex.DataInfo
 
_intercept - Variable in class hex.glm.GLMModel.GLMParameters
 
_intLvls - Variable in class hex.DataInfo
 
_isInt - Variable in class hex.tree.DHistogram
 
_iter_max - Variable in class hex.coxph.CoxPHModel.CoxPHParameters
 
_iterations - Variable in class hex.example.ExampleModel.ExampleOutput
 
_iterations - Variable in class hex.glrm.GLRMModel.GLRMOutput
 
_iterations - Variable in class hex.kmeans.KMeansModel.KMeansOutput
 
_iterations - Variable in class hex.svd.SVDModel.SVDOutput
 
_jobKey - Variable in class hex.FrameTask
 
_k - Variable in class hex.aggregator.AggregatorModel.AggregatorParameters
 
_k - Variable in class hex.glrm.GLRMModel.GLRMParameters
 
_k - Variable in class hex.kmeans.KMeansModel.KMeansOutput
 
_k - Variable in class hex.pca.PCAModel.PCAParameters
 
_keep_levelone_frame - Variable in class hex.StackedEnsembleModel.StackedEnsembleParameters
 
_keep_u - Variable in class hex.svd.SVDModel.SVDParameters
 
_l1 - Variable in class hex.deeplearning.DeepLearningModel.DeepLearningParameters
A regularization method that constrains the absolute value of the weights and has the net effect of dropping some weights (setting them to zero) from a model to reduce complexity and avoid overfitting.
_l2 - Variable in class hex.deeplearning.DeepLearningModel.DeepLearningParameters
A regularization method that constrains the sum of the squared weights.
_lambda - Variable in class hex.glm.GLMModel.GLMParameters
 
_lambda_1se - Variable in class hex.glm.GLMModel.GLMOutput
 
_lambda_max - Variable in class hex.glm.GLMModel
 
_lambda_min_ratio - Variable in class hex.glm.GLMModel.GLMParameters
 
_lambda_search - Variable in class hex.glm.GLMModel.GLMParameters
 
_lambdas - Variable in class hex.glm.GLMModel.RegularizationPath
 
_laplace - Variable in class hex.naivebayes.NaiveBayesModel.NaiveBayesParameters
 
_lastScoredTree - Variable in class hex.tree.SharedTree
 
_learn_rate - Variable in class hex.tree.gbm.GBMModel.GBMParameters
 
_learn_rate_annealing - Variable in class hex.tree.gbm.GBMModel.GBMParameters
 
_learning_rate - Variable in class hex.deepwater.DeepWaterParameters
When adaptive learning rate is disabled, the magnitude of the weight updates are determined by the user specified learning rate (potentially annealed), and are a function of the difference between the predicted value and the target value.
_learning_rate_annealing - Variable in class hex.deepwater.DeepWaterParameters
Learning rate annealing reduces the learning rate to "freeze" into local minima in the optimization landscape.
_leaves - Variable in class hex.tree.DTree
 
_len - Variable in class hex.tree.DTree
 
_levelone_frame_id - Variable in class hex.StackedEnsembleModel.StackedEnsembleOutput
 
_levels - Variable in class hex.naivebayes.NaiveBayesModel.NaiveBayesOutput
 
_likelihood - Variable in class hex.glm.GLMTask.GLMIterationTask
 
_link - Variable in class hex.glm.GLMModel.GLMParameters
 
_loss - Variable in class hex.deeplearning.DeepLearningModel.DeepLearningParameters
The loss (error) function to be minimized by the model.
_loss - Variable in class hex.glrm.GLRMModel.GLRMParameters
 
_loss_by_col - Variable in class hex.glrm.GLRMModel.GLRMParameters
 
_loss_by_col_idx - Variable in class hex.glrm.GLRMModel.GLRMParameters
 
_lossFunc - Variable in class hex.glrm.GLRMModel.GLRMOutput
 
_lre_min - Variable in class hex.coxph.CoxPHModel.CoxPHParameters
 
_lsNeeded - Variable in class hex.glm.ComputationState
 
_mapping_frame - Variable in class hex.aggregator.AggregatorModel.AggregatorOutput
 
_matches - Variable in class hex.grep.GrepModel.GrepOutput
 
_max_abs_leafnode_pred - Variable in class hex.tree.gbm.GBMModel.GBMParameters
 
_max_active_predictors - Variable in class hex.glm.GLMModel.GLMParameters
 
_max_categorical_features - Variable in class hex.deeplearning.DeepLearningModel.DeepLearningParameters
Max.
_max_depth - Variable in class hex.tree.SharedTreeModel.SharedTreeParameters
 
_max_depth - Variable in class hex.tree.TreeStats
 
_max_iterations - Variable in class hex.example.ExampleModel.ExampleParameters
 
_max_iterations - Variable in class hex.glm.GLMModel.GLMParameters
 
_max_iterations - Variable in class hex.glrm.GLRMModel.GLRMParameters
 
_max_iterations - Variable in class hex.kmeans.KMeansModel.KMeansParameters
 
_max_iterations - Variable in class hex.pca.PCAModel.PCAParameters
 
_max_iterations - Variable in class hex.svd.SVDModel.SVDParameters
 
_max_leaves - Variable in class hex.tree.TreeStats
 
_max_updates - Variable in class hex.glrm.GLRMModel.GLRMParameters
 
_max_w2 - Variable in class hex.deeplearning.DeepLearningModel.DeepLearningParameters
A maximum on the sum of the squared incoming weights into any one neuron.
_maxEx - Variable in class hex.tree.DHistogram
 
_maxIn - Variable in class hex.tree.DHistogram
 
_maxs - Variable in class hex.example.ExampleModel.ExampleOutput
 
_mean_depth - Variable in class hex.tree.TreeStats
 
_mean_image_file - Variable in class hex.deepwater.DeepWaterParameters
 
_mean_leaves - Variable in class hex.tree.TreeStats
 
_metalearner - Variable in class hex.StackedEnsembleModel.StackedEnsembleOutput
 
_metalearner_algorithm - Variable in class hex.StackedEnsembleModel.StackedEnsembleParameters
 
_metalearner_fold_assignment - Variable in class hex.StackedEnsembleModel.StackedEnsembleParameters
 
_metalearner_fold_column - Variable in class hex.StackedEnsembleModel.StackedEnsembleParameters
 
_metalearner_nfolds - Variable in class hex.StackedEnsembleModel.StackedEnsembleParameters
 
_metalearner_params - Variable in class hex.StackedEnsembleModel.StackedEnsembleParameters
 
_min - Variable in class hex.tree.DHistogram
 
_min2 - Variable in class hex.tree.DHistogram
 
_min_depth - Variable in class hex.tree.TreeStats
 
_min_leaves - Variable in class hex.tree.TreeStats
 
_min_prob - Variable in class hex.naivebayes.NaiveBayesModel.NaiveBayesParameters
 
_min_rows - Variable in class hex.tree.SharedTreeModel.SharedTreeParameters
 
_min_sdev - Variable in class hex.naivebayes.NaiveBayesModel.NaiveBayesParameters
 
_min_split_improvement - Variable in class hex.tree.SharedTreeModel.SharedTreeParameters
 
_min_step_size - Variable in class hex.glrm.GLRMModel.GLRMParameters
 
_min_word_freq - Variable in class hex.word2vec.Word2VecModel.Word2VecParameters
 
_mini_batch_size - Variable in class hex.deeplearning.DeepLearningModel.DeepLearningParameters
 
_mini_batch_size - Variable in class hex.deepwater.DeepWaterParameters
 
_minSplitImprovement - Variable in class hex.tree.DHistogram
 
_miscls - Variable in class hex.glrm.ModelMetricsGLRM.GlrmModelMetricsBuilder
 
_missing_values_handling - Variable in class hex.deeplearning.DeepLearningModel.DeepLearningParameters
 
_missing_values_handling - Variable in class hex.deepwater.DeepWaterParameters
 
_missing_values_handling - Variable in class hex.glm.GLMModel.GLMParameters
 
_model - Variable in class hex.ensemble.StackedEnsemble
 
_model - Variable in class hex.tree.SharedTree
 
_momentum_ramp - Variable in class hex.deeplearning.DeepLearningModel.DeepLearningParameters
The momentum_ramp parameter controls the amount of learning for which momentum increases (assuming momentum_stable is larger than momentum_start).
_momentum_ramp - Variable in class hex.deepwater.DeepWaterParameters
The momentum_ramp parameter controls the amount of learning for which momentum increases (assuming momentum_stable is larger than momentum_start).
_momentum_stable - Variable in class hex.deeplearning.DeepLearningModel.DeepLearningParameters
The momentum_stable parameter controls the final momentum value reached after momentum_ramp training samples.
_momentum_stable - Variable in class hex.deepwater.DeepWaterParameters
The momentum_stable parameter controls the final momentum value reached after momentum_ramp training samples.
_momentum_start - Variable in class hex.deeplearning.DeepLearningModel.DeepLearningParameters
The momentum_start parameter controls the amount of momentum at the beginning of training.
_momentum_start - Variable in class hex.deepwater.DeepWaterParameters
The momentum_start parameter controls the amount of momentum at the beginning of training.
_mtries - Variable in class hex.tree.drf.DRFModel.DRFParameters
 
_mtry - Variable in class hex.tree.SharedTree
 
_mtry_per_tree - Variable in class hex.tree.SharedTree
 
_mtrys - Variable in class hex.tree.DTree
 
_mtrys_per_tree - Variable in class hex.tree.DTree
 
_multi_loss - Variable in class hex.glrm.GLRMModel.GLRMParameters
 
_multinomial - Variable in class hex.glm.GLMModel.GLMOutput
 
_name - Variable in class hex.tree.DHistogram
 
_names_expanded - Variable in class hex.glrm.GLRMModel.GLRMOutput
 
_names_expanded - Variable in class hex.svd.SVDModel.SVDOutput
 
_nbin - Variable in class hex.tree.DHistogram
 
_nbins - Variable in class hex.tree.SharedTreeModel.SharedTreeParameters
 
_nbins_cats - Variable in class hex.tree.SharedTreeModel.SharedTreeParameters
 
_nbins_top_level - Variable in class hex.tree.SharedTreeModel.SharedTreeParameters
 
_ncats - Variable in class hex.glrm.GLRMModel.GLRMOutput
 
_ncats - Variable in class hex.naivebayes.NaiveBayesModel.NaiveBayesOutput
 
_ncats - Variable in class hex.pca.PCAModel.PCAOutput
 
_ncats - Variable in class hex.svd.SVDModel.SVDOutput
 
_nclass - Variable in class hex.tree.DTreeScorer
 
_ncols - Variable in class hex.tree.DTreeScorer
 
_ncols - Variable in class hex.tree.SharedTree
 
_nesterov_accelerated_gradient - Variable in class hex.deeplearning.DeepLearningModel.DeepLearningParameters
The Nesterov accelerated gradient descent method is a modification to traditional gradient descent for convex functions.
_network - Variable in class hex.deepwater.DeepWaterParameters
 
_network_definition_file - Variable in class hex.deepwater.DeepWaterParameters
 
_network_parameters_file - Variable in class hex.deepwater.DeepWaterParameters
 
_nid - Variable in class hex.tree.DTree.Node
 
_nids - Variable in class hex.tree.DTree.DecidedNode
 
_nlambdas - Variable in class hex.glm.GLMModel.GLMParameters
 
_nnums - Variable in class hex.glrm.GLRMModel.GLRMOutput
 
_nnums - Variable in class hex.pca.PCAModel.PCAOutput
 
_nnums - Variable in class hex.svd.SVDModel.SVDOutput
 
_nobs - Variable in class hex.glm.GLMModel
 
_nobs - Variable in class hex.glrm.GLRMModel.GLRMOutput
 
_nobs - Variable in class hex.gram.Gram.GramTask
 
_nobs - Variable in class hex.gram.Gram.OuterGramTask
 
_nobs - Variable in class hex.pca.PCAModel.PCAOutput
 
_nobs - Variable in class hex.svd.SVDModel.SVDOutput
 
_nodes - Variable in class hex.tree.TreeVisitor
 
_non_negative - Variable in class hex.glm.GLMModel.GLMParameters
 
_norm_model - Variable in class hex.word2vec.Word2VecModel.Word2VecParameters
 
_normMul - Variable in class hex.DataInfo
 
_normMul - Variable in class hex.glrm.GLRMModel.GLRMOutput
 
_normMul - Variable in class hex.pca.PCAModel.PCAOutput
 
_normMul - Variable in class hex.svd.SVDModel.SVDOutput
 
_normMulnew - Variable in class hex.glm.GLMTask.GLMCoordinateDescentTaskSeqNaive
 
_normMulold - Variable in class hex.glm.GLMTask.GLMCoordinateDescentTaskSeqNaive
 
_normRespMul - Variable in class hex.DataInfo
 
_normRespSub - Variable in class hex.DataInfo
 
_normSub - Variable in class hex.DataInfo
 
_normSub - Variable in class hex.glrm.GLRMModel.GLRMOutput
 
_normSub - Variable in class hex.pca.PCAModel.PCAOutput
 
_normSub - Variable in class hex.svd.SVDModel.SVDOutput
 
_normSubnew - Variable in class hex.glm.GLMTask.GLMCoordinateDescentTaskSeqNaive
 
_normSubold - Variable in class hex.glm.GLMTask.GLMCoordinateDescentTaskSeqNaive
 
_nrows - Variable in class hex.DataInfo.Rows
 
_nrows - Variable in class hex.tree.drf.TreeMeasuresCollector.TreeMeasures
Number of processed row per tree.
_ntrees - Variable in class hex.tree.drf.TreeMeasuresCollector.TreeMeasures
Actual number of trees which votes are stored in this object
_ntrees - Variable in class hex.tree.SharedTree
 
_ntrees - Variable in class hex.tree.SharedTreeModel.SharedTreeOutput
Number of trees actually in the model (as opposed to requested)
_ntrees - Variable in class hex.tree.SharedTreeModel.SharedTreeParameters
 
_nullDOF - Variable in class hex.glm.GLMModel
 
_num_trees - Variable in class hex.tree.TreeStats
 
_numcnt - Variable in class hex.glrm.ModelMetricsGLRM
 
_numcnt - Variable in class hex.glrm.ModelMetricsGLRM.GlrmModelMetricsBuilder
 
_numerr - Variable in class hex.glrm.ModelMetricsGLRM
 
_numMeans - Variable in class hex.DataInfo
 
_numOffsets - Variable in class hex.DataInfo
 
_nums - Variable in class hex.DataInfo
 
_nv - Variable in class hex.svd.SVDModel.SVDParameters
 
_obj_reg - Variable in class hex.glm.GLMModel.GLMParameters
 
_objective - Variable in class hex.glrm.GLRMModel.GLRMOutput
 
_objective - Variable in class hex.pca.PCAModel.PCAOutput
 
_objective_epsilon - Variable in class hex.glm.GLMModel.GLMParameters
 
_objVal - Variable in class hex.optimization.OptimizationUtils.GradientInfo
 
_offset - Variable in class hex.DataInfo
 
_offsets - Variable in class hex.grep.GrepModel.GrepOutput
 
_only_v - Variable in class hex.svd.SVDModel.SVDParameters
 
_OOBEnabled - Variable in class hex.tree.ReconstructTreeState
 
_ordinal - Variable in class hex.glm.GLMModel.GLMOutput
 
_origa - Variable in class hex.deeplearning.Neurons
Layer state (one per neuron): activity, error
_outpus - Variable in class hex.DataInfo
 
_output_frame - Variable in class hex.aggregator.AggregatorModel.AggregatorOutput
 
_overwrite_with_best_model - Variable in class hex.deeplearning.DeepLearningModel.DeepLearningParameters
If enabled, store the best model under the destination key of this model at the end of training.
_overwrite_with_best_model - Variable in class hex.deepwater.DeepWaterParameters
If enabled, store the best model under the destination key of this model at the end of training.
_parms - Variable in class hex.tree.DTree
 
_pca_method - Variable in class hex.aggregator.AggregatorModel.AggregatorParameters
 
_pca_method - Variable in class hex.pca.PCAModel.PCAParameters
 
_pcond - Variable in class hex.naivebayes.NaiveBayesModel.NaiveBayesOutput
 
_pcond_raw - Variable in class hex.naivebayes.NaiveBayesModel.NaiveBayesOutput
 
_period - Variable in class hex.glrm.GLRMModel.GLRMParameters
 
_permutation - Variable in class hex.DataInfo
 
_permutation - Variable in class hex.glrm.GLRMModel.GLRMOutput
 
_permutation - Variable in class hex.glrm.ModelMetricsGLRM.GlrmModelMetricsBuilder
 
_permutation - Variable in class hex.pca.PCAModel.PCAOutput
 
_permutation - Variable in class hex.svd.SVDModel.SVDOutput
 
_pid - Variable in class hex.tree.DTree.Node
 
_pm - Variable in class hex.optimization.ADMM.L1Solver
 
_pre_trained - Variable in class hex.word2vec.Word2VecModel.Word2VecParameters
 
_pred - Variable in class hex.tree.DTree.LeafNode
 
_pred_indicator - Variable in class hex.kmeans.KMeansModel.KMeansParameters
 
_pred_noise_bandwidth - Variable in class hex.tree.gbm.GBMModel.GBMParameters
 
_predictor_transform - Variable in class hex.DataInfo
 
_predsAryOffset - Variable in class hex.tree.Score.ScoreIncInfo
 
_previous - Variable in class hex.deeplearning.Neurons
References for feed-forward connectivity
_prior - Variable in class hex.glm.GLMModel.GLMParameters
 
_problem_type - Variable in class hex.deepwater.DeepWaterParameters
 
_quiet_mode - Variable in class hex.deeplearning.DeepLearningModel.DeepLearningParameters
Enable quiet mode for less output to standard output.
_quiet_mode - Variable in class hex.deepwater.DeepWaterParameters
Enable quiet mode for less output to standard output.
_r2_stopping - Variable in class hex.tree.SharedTreeModel.SharedTreeParameters
 
_rand - Variable in class hex.tree.DTree
 
_rand - Variable in class hex.tree.SharedTree
 
_rate - Variable in class hex.deeplearning.DeepLearningModel.DeepLearningParameters
When adaptive learning rate is disabled, the magnitude of the weight updates are determined by the user specified learning rate (potentially annealed), and are a function of the difference between the predicted value and the target value.
_rate - Variable in class hex.tree.ReconstructTreeState
 
_rate_annealing - Variable in class hex.deeplearning.DeepLearningModel.DeepLearningParameters
Learning rate annealing reduces the learning rate to "freeze" into local minima in the optimization landscape.
_rate_decay - Variable in class hex.deeplearning.DeepLearningModel.DeepLearningParameters
The learning rate decay parameter controls the change of learning rate across layers.
_rcall - Variable in class hex.coxph.CoxPHModel.CoxPHParameters
 
_reassigned_count - Variable in class hex.kmeans.KMeansModel.KMeansOutput
 
_recover_svd - Variable in class hex.glrm.GLRMModel.GLRMParameters
 
_regex - Variable in class hex.grep.GrepModel.GrepParameters
 
_regression_stop - Variable in class hex.deeplearning.DeepLearningModel.DeepLearningParameters
The stopping criteria in terms of regression error (MSE) on the training data scoring dataset.
_regularization_x - Variable in class hex.glrm.GLRMModel.GLRMParameters
 
_regularization_y - Variable in class hex.glrm.GLRMModel.GLRMParameters
 
_rel_tol_num_exemplars - Variable in class hex.aggregator.AggregatorModel.AggregatorParameters
 
_remove_collinear_columns - Variable in class hex.glm.GLMModel.GLMParameters
 
_replicate_training_data - Variable in class hex.deeplearning.DeepLearningModel.DeepLearningParameters
Replicate the entire training dataset onto every node for faster training on small datasets.
_replicate_training_data - Variable in class hex.deepwater.DeepWaterParameters
Replicate the entire training dataset onto every node for faster training on small datasets.
_representation_key - Variable in class hex.glrm.GLRMModel.GLRMOutput
 
_representation_name - Variable in class hex.glrm.GLRMModel.GLRMOutput
 
_representation_name - Variable in class hex.glrm.GLRMModel.GLRMParameters
 
_reproducible - Variable in class hex.deeplearning.DeepLearningModel.DeepLearningParameters
Force reproducibility on small data (will be slow - only uses 1 thread)
_rescnt - Variable in class hex.naivebayes.NaiveBayesModel.NaiveBayesOutput
 
_response_transform - Variable in class hex.DataInfo
 
_responses - Variable in class hex.DataInfo
 
_rho - Variable in class hex.deeplearning.DeepLearningModel.DeepLearningParameters
The first of two hyper parameters for adaptive learning rate (ADADELTA).
_row - Variable in class hex.FrameTask.ExtractDenseRow
 
_sample_rate - Variable in class hex.tree.SharedTreeModel.SharedTreeParameters
 
_sample_rate_per_class - Variable in class hex.tree.SharedTreeModel.SharedTreeParameters
 
_save_mapping_frame - Variable in class hex.aggregator.AggregatorModel.AggregatorParameters
 
_save_v_frame - Variable in class hex.svd.SVDModel.SVDParameters
 
_score_duty_cycle - Variable in class hex.deeplearning.DeepLearningModel.DeepLearningParameters
Maximum fraction of wall clock time spent on model scoring on training and validation samples, and on diagnostics such as computation of feature importances (i.e., not on training).
_score_duty_cycle - Variable in class hex.deepwater.DeepWaterParameters
Maximum fraction of wall clock time spent on model scoring on training and validation samples, and on diagnostics such as computation of feature importances (i.e., not on training).
_score_interval - Variable in class hex.deeplearning.DeepLearningModel.DeepLearningParameters
The minimum time (in seconds) to elapse between model scoring.
_score_interval - Variable in class hex.deepwater.DeepWaterParameters
The minimum time (in seconds) to elapse between model scoring.
_score_interval - Variable in class hex.tree.SharedTreeModel.SharedTreeParameters
 
_score_training_samples - Variable in class hex.deeplearning.DeepLearningModel.DeepLearningParameters
The number of training dataset points to be used for scoring.
_score_training_samples - Variable in class hex.deepwater.DeepWaterParameters
The number of training dataset points to be used for scoring.
_score_tree_interval - Variable in class hex.tree.SharedTreeModel.SharedTreeParameters
 
_score_validation_samples - Variable in class hex.deeplearning.DeepLearningModel.DeepLearningParameters
The number of validation dataset points to be used for scoring.
_score_validation_samples - Variable in class hex.deepwater.DeepWaterParameters
The number of validation dataset points to be used for scoring.
_score_validation_sampling - Variable in class hex.deeplearning.DeepLearningModel.DeepLearningParameters
Method used to sample the validation dataset for scoring, see Score Validation Samples above.
_scoreCols - Variable in class hex.tree.DTree.UndecidedNode
 
_scored_train - Variable in class hex.tree.SharedTreeModel.SharedTreeOutput
 
_scored_valid - Variable in class hex.tree.SharedTreeModel.SharedTreeOutput
 
_seed - Variable in class hex.StackedEnsembleModel.StackedEnsembleParameters
 
_seed - Variable in class hex.tree.DHistogram
 
_selected_lambda_idx - Variable in class hex.glm.GLMModel.GLMOutput
 
_sent_sample_rate - Variable in class hex.word2vec.Word2VecModel.Word2VecParameters
 
_shuffle - Variable in class hex.FrameTask
 
_shuffle_training_data - Variable in class hex.deeplearning.DeepLearningModel.DeepLearningParameters
Enable shuffling of training data (on each node).
_shuffle_training_data - Variable in class hex.deepwater.DeepWaterParameters
Enable shuffling of training data (on each node).
_single_node_mode - Variable in class hex.deeplearning.DeepLearningModel.DeepLearningParameters
Run on a single node for fine-tuning of model parameters.
_single_node_mode - Variable in class hex.deepwater.DeepWaterParameters
Run on a single node for fine-tuning of model parameters.
_singular_vals - Variable in class hex.glrm.GLRMModel.GLRMOutput
 
_skip - Variable in class hex.tree.DTreeScorer
 
_skipMissing - Variable in class hex.DataInfo
 
_solver - Variable in class hex.glm.GLMModel.GLMParameters
 
_sparse - Variable in class hex.DataInfo.Rows
 
_sparse - Variable in class hex.deeplearning.DeepLearningModel.DeepLearningParameters
 
_sparse - Variable in class hex.deepwater.DeepWaterParameters
 
_sparse - Variable in class hex.FrameTask
 
_sparse - Variable in class hex.FrameTask2
 
_sparsity_beta - Variable in class hex.deeplearning.DeepLearningModel.DeepLearningParameters
 
_splat - Variable in class hex.tree.DTree.DecidedNode
 
_split - Variable in class hex.tree.DTree.DecidedNode
 
_splitPts - Variable in class hex.tree.DHistogram
 
_sse - Variable in class hex.util.LinearAlgebraUtils.ForwardSolve
 
_st - Variable in class hex.tree.DTreeScorer
 
_standardize - Variable in class hex.deeplearning.DeepLearningModel.DeepLearningParameters
If enabled, automatically standardize the data.
_standardize - Variable in class hex.deepwater.DeepWaterParameters
If enabled, automatically standardize the data.
_standardize - Variable in class hex.glm.GLMModel.GLMParameters
 
_standardize - Variable in class hex.kmeans.KMeansModel.KMeansParameters
 
_start_column - Variable in class hex.coxph.CoxPHModel.CoxPHParameters
 
_startTree - Variable in class hex.tree.Score.ScoreIncInfo
 
_std_deviation - Variable in class hex.glrm.GLRMModel.GLRMOutput
 
_std_deviation - Variable in class hex.pca.PCAModel.PCAOutput
 
_stdOverride - Variable in class hex.glm.GLMModel.GLMParameters
 
_step - Variable in class hex.tree.DHistogram
 
_step_size - Variable in class hex.glrm.GLRMModel.GLRMOutput
 
_stop_column - Variable in class hex.coxph.CoxPHModel.CoxPHParameters
 
_svd_method - Variable in class hex.glrm.GLRMModel.GLRMParameters
 
_svd_method - Variable in class hex.svd.SVDModel.SVDParameters
 
_target_num_exemplars - Variable in class hex.aggregator.AggregatorModel.AggregatorParameters
 
_target_ratio_comm_to_comp - Variable in class hex.deeplearning.DeepLearningModel.DeepLearningParameters
 
_target_ratio_comm_to_comp - Variable in class hex.deepwater.DeepWaterParameters
 
_temp - Variable in class hex.glm.GLMTask.GLMCoordinateDescentTaskSeqIntercept
 
_temp - Variable in class hex.glm.GLMTask.GLMCoordinateDescentTaskSeqNaive
 
_ties - Variable in class hex.coxph.CoxPHModel.CoxPHParameters
 
_timeLastIterationEnter - Variable in class hex.deeplearning.DeepLearningModel
 
_timeLastScoreStart - Variable in class hex.deeplearning.DeepLearningModel
 
_tot_withinss - Variable in class hex.kmeans.KMeansModel.KMeansOutput
 
_total_variance - Variable in class hex.glrm.GLRMModel.GLRMOutput
 
_total_variance - Variable in class hex.pca.PCAModel.PCAOutput
 
_total_variance - Variable in class hex.svd.SVDModel.SVDOutput
 
_totss - Variable in class hex.kmeans.KMeansModel.KMeansOutput
 
_train_samples_per_iteration - Variable in class hex.deeplearning.DeepLearningModel.DeepLearningParameters
The number of training data rows to be processed per iteration.
_train_samples_per_iteration - Variable in class hex.deepwater.DeepWaterParameters
The number of training data rows to be processed per iteration.
_training_time_ms - Variable in class hex.glrm.GLRMModel.GLRMOutput
 
_training_time_ms - Variable in class hex.kmeans.KMeansModel.KMeansOutput
 
_training_time_ms - Variable in class hex.pca.PCAModel.PCAOutput
 
_training_time_ms - Variable in class hex.svd.SVDModel.SVDOutput
 
_training_time_ms - Variable in class hex.tree.SharedTreeModel.SharedTreeOutput
Training time
_trainPredsCache - Variable in class hex.tree.SharedTree
 
_transform - Variable in class hex.aggregator.AggregatorModel.AggregatorParameters
 
_transform - Variable in class hex.glrm.GLRMModel.GLRMParameters
 
_transform - Variable in class hex.pca.PCAModel.PCAParameters
 
_transform - Variable in class hex.svd.SVDModel.SVDParameters
 
_tree - Variable in class hex.tree.DTree.Node
 
_treeKeys - Variable in class hex.tree.CompressedForest
 
_treeKeys - Variable in class hex.tree.SharedTreeModel.SharedTreeOutput
Trees get big, so store each one separately in the DKV.
_treeKeysAux - Variable in class hex.tree.SharedTreeModel.SharedTreeOutput
 
_trees - Variable in class hex.tree.CompressedForest.LocalCompressedForest
 
_treeStats - Variable in class hex.tree.SharedTreeModel.SharedTreeOutput
More indepth tree stats
_tweedie_link_power - Variable in class hex.glm.GLMModel.GLMParameters
 
_tweedie_variance_power - Variable in class hex.glm.GLMModel.GLMParameters
 
_u - Variable in class hex.optimization.ADMM.L1Solver
 
_u_key - Variable in class hex.svd.SVDModel.SVDOutput
 
_u_name - Variable in class hex.svd.SVDModel.SVDParameters
 
_updates - Variable in class hex.glrm.GLRMModel.GLRMOutput
 
_use_all_factor_levels - Variable in class hex.aggregator.AggregatorModel.AggregatorParameters
 
_use_all_factor_levels - Variable in class hex.deeplearning.DeepLearningModel.DeepLearningParameters
 
_use_all_factor_levels - Variable in class hex.deepwater.DeepWaterParameters
 
_use_all_factor_levels - Variable in class hex.glm.GLMModel.GLMParameters
 
_use_all_factor_levels - Variable in class hex.pca.PCAModel.PCAParameters
 
_use_all_factor_levels - Variable in class hex.svd.SVDModel.SVDParameters
 
_useAllFactorLevels - Variable in class hex.DataInfo
 
_useFraction - Variable in class hex.FrameTask
 
_user_points - Variable in class hex.kmeans.KMeansModel.KMeansParameters
 
_user_x - Variable in class hex.glrm.GLRMModel.GLRMParameters
 
_user_y - Variable in class hex.glrm.GLRMModel.GLRMParameters
 
_v - Variable in class hex.svd.SVDModel.SVDOutput
 
_v_key - Variable in class hex.svd.SVDModel.SVDOutput
 
_v_name - Variable in class hex.svd.SVDModel.SVDParameters
 
_valid - Variable in class hex.DataInfo
 
_validPredsCache - Variable in class hex.tree.SharedTree
 
_validWorkspace - Variable in class hex.tree.SharedTree
 
_vals - Variable in class hex.tree.DHistogram
 
_variable_importances - Variable in class hex.deeplearning.DeepLearningModel.DeepLearningModelOutput
 
_variable_importances - Variable in class hex.deeplearning.DeepLearningModel.DeepLearningParameters
Whether to compute variable importances for input features.
_variable_importances - Variable in class hex.deepwater.DeepWaterModelOutput
 
_variable_importances - Variable in class hex.tree.SharedTreeModel.SharedTreeOutput
Variable importances computed during training
_varimp - Variable in class hex.tree.SharedTreeModel.SharedTreeOutput
 
_vec_size - Variable in class hex.word2vec.Word2VecModel.Word2VecParameters
 
_vecs - Variable in class hex.word2vec.Word2VecModel.Word2VecOutput
 
_vecSize - Variable in class hex.word2vec.Word2VecModel.Word2VecOutput
 
_verbose - Variable in class hex.glrm.GLRMModel.GLRMParameters
 
_vocab - Variable in class hex.word2vec.Word2VecModel.Word2VecOutput
 
_w - Variable in class hex.deeplearning.Neurons
 
_wEA - Variable in class hex.deeplearning.Neurons
 
_weights - Variable in class hex.DataInfo
 
_window_size - Variable in class hex.word2vec.Word2VecModel.Word2VecParameters
 
_withinss - Variable in class hex.kmeans.KMeansModel.KMeansOutput
 
_word_model - Variable in class hex.word2vec.Word2VecModel.Word2VecParameters
 
_words - Variable in class hex.word2vec.Word2VecModel.Word2VecOutput
 
_workspaceColCnt - Variable in class hex.tree.Score.ScoreIncInfo
 
_workspaceColIdx - Variable in class hex.tree.Score.ScoreIncInfo
 
_xx - Variable in class hex.gram.Gram
 
_xx - Variable in class hex.gram.Gram.Cholesky
 
_xxCache - Variable in class hex.gram.Gram
 
_xy - Variable in class hex.glm.GLMTask.LSTask
 
_ymu - Variable in class hex.glm.GLMModel
 
_ySigma - Variable in class hex.glm.GLMModel
 
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