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A

AbstractMojoWriter - Class in hex.genmodel
 
AbstractMojoWriter(ModelDescriptor) - Constructor for class hex.genmodel.AbstractMojoWriter
 
AbstractPrediction - Class in hex.genmodel.easy.prediction
Predictions from generated models for individual new data points derive from this class.
AbstractPrediction() - Constructor for class hex.genmodel.easy.prediction.AbstractPrediction
 
ActivationUtils - Class in hex.genmodel.algos.deeplearning
 
ActivationUtils() - Constructor for class hex.genmodel.algos.deeplearning.ActivationUtils
 
ActivationUtils.ActivationFunctions - Interface in hex.genmodel.algos.deeplearning
 
ActivationUtils.ExpRectifierDropoutOut - Class in hex.genmodel.algos.deeplearning
 
ActivationUtils.ExpRectifierOut - Class in hex.genmodel.algos.deeplearning
 
ActivationUtils.LinearOut - Class in hex.genmodel.algos.deeplearning
 
ActivationUtils.MaxoutDropoutOut - Class in hex.genmodel.algos.deeplearning
 
ActivationUtils.MaxoutOut - Class in hex.genmodel.algos.deeplearning
 
ActivationUtils.RectifierDropoutOut - Class in hex.genmodel.algos.deeplearning
 
ActivationUtils.RectifierOut - Class in hex.genmodel.algos.deeplearning
 
ActivationUtils.SoftmaxOut - Class in hex.genmodel.algos.deeplearning
 
ActivationUtils.TanhDropoutOut - Class in hex.genmodel.algos.deeplearning
 
ActivationUtils.TanhOut - Class in hex.genmodel.algos.deeplearning
 
add(double, HashMap<String, String[]>) - Static method in class hex.genmodel.GenMunger
 
addMainModel(String, File) - Method in class hex.genmodel.MojoPipelineBuilder
 
addMapping(MojoPipelineBuilder.MappingSpec) - Method in class hex.genmodel.MojoPipelineBuilder
 
addMapping(String, String, int) - Method in class hex.genmodel.MojoPipelineBuilder
 
addMappings(List<MojoPipelineBuilder.MappingSpec>) - Method in class hex.genmodel.MojoPipelineBuilder
 
addModel(String, File) - Method in class hex.genmodel.MojoPipelineBuilder
 
algoFullName() - Method in interface hex.genmodel.ModelDescriptor
 
algoName() - Method in interface hex.genmodel.ModelDescriptor
 
AnomalyDetectionPrediction - Class in hex.genmodel.easy.prediction
 
AnomalyDetectionPrediction() - Constructor for class hex.genmodel.easy.prediction.AnomalyDetectionPrediction
 
applyBestAlpha(double[], double[], double[], double[], double, Random) - Method in class hex.genmodel.algos.glrm.GlrmMojoModel
This method will try a bunch of arbitray alpha values and pick the best to return which get the best obj improvement.
applyCoefficients(double[], double[], int) - Method in class hex.genmodel.algos.glm.GlmMojoModel
Applies GLM coefficients to a given row of data to calculate feature contributions.
applyDropout(double[], double, int) - Static method in class hex.genmodel.algos.deeplearning.ActivationUtils
 
ArrayUtils - Class in hex.genmodel.utils
Copied (partially) from water.util.ArrayUtils
ArrayUtils() - Constructor for class hex.genmodel.utils.ArrayUtils
 
asnumeric(String, HashMap<String, String[]>) - Static method in class hex.genmodel.GenMunger
 
AutoEncoderModelPrediction - Class in hex.genmodel.easy.prediction
Data reconstructed by the AutoEncoder model based on a given input.
AutoEncoderModelPrediction() - Constructor for class hex.genmodel.easy.prediction.AutoEncoderModelPrediction
 

B

balanceClasses() - Method in interface hex.genmodel.ModelDescriptor
 
BinomialModelPrediction - Class in hex.genmodel.easy.prediction
Binomial classification model prediction.
BinomialModelPrediction() - Constructor for class hex.genmodel.easy.prediction.BinomialModelPrediction
 
bitSetContains(byte[], int, int, double) - Static method in class hex.genmodel.GenModel
 
bitSetIsInRange(int, int, double) - Static method in class hex.genmodel.GenModel
 
build() - Method in class hex.genmodel.descriptor.ModelDescriptorBuilder
Builds the final instance of ModelDescriptor, using information provided by the serialized model and which corresponding implementations of ModelMojoReader are able to provide.
buildNet(ImageDataSet, RuntimeOptions, BackendParams, int, String) - Method in class hex.genmodel.algos.deepwater.caffe.DeepwaterCaffeBackend
 
buildPipeline(File) - Method in class hex.genmodel.MojoPipelineBuilder
 
BuildPipeline - Class in hex.genmodel.tools
 
BuildPipeline() - Constructor for class hex.genmodel.tools.BuildPipeline
 
ByteBufferWrapper - Class in hex.genmodel.utils
Simplified version and drop-in replacement of water.util.AutoBuffer
ByteBufferWrapper(byte[]) - Constructor for class hex.genmodel.utils.ByteBufferWrapper
Read from a fixed byte[]; should not be closed.

C

CAFFE_DIR - Static variable in class hex.genmodel.algos.deepwater.caffe.DeepwaterCaffeBackend
 
CAFFE_H2O_DIR - Static variable in class hex.genmodel.algos.deepwater.caffe.DeepwaterCaffeBackend
 
calculateContributions(R, float[]) - Method in class hex.genmodel.algos.tree.TreeSHAP
 
calculateContributions(R, float[], int, int, Object) - Method in class hex.genmodel.algos.tree.TreeSHAP
 
calculateContributions(R, float[]) - Method in class hex.genmodel.algos.tree.TreeSHAPEnsemble
 
calculateContributions(R, float[], int, int, Object) - Method in class hex.genmodel.algos.tree.TreeSHAPEnsemble
 
calculateContributions(R, float[]) - Method in interface hex.genmodel.algos.tree.TreeSHAPPredictor
 
calculateContributions(R, float[], int, int, Object) - Method in interface hex.genmodel.algos.tree.TreeSHAPPredictor
 
calculateContributions(double[]) - Method in interface hex.genmodel.PredictContributions
Calculate contributions (SHAP values) for a given input row.
calculateReconstructionErrorPerRowData(double[], double[]) - Method in class hex.genmodel.algos.deeplearning.DeeplearningMojoModel
Calculates average reconstruction error (MSE).
calibrateClassProbabilities(double[]) - Method in class hex.genmodel.algos.tree.SharedTreeMojoModel
 
calibrateClassProbabilities(double[]) - Method in class hex.genmodel.GenModel
Subclasses implement calibration of class probabilities.
calibratedClassProbabilities - Variable in class hex.genmodel.easy.prediction.BinomialModelPrediction
Class probabilities calibrated by Platt Scaling.
classProbabilities - Variable in class hex.genmodel.easy.prediction.BinomialModelPrediction
This array of length two has the class probability for each class (aka categorical or factor level) in the response column.
classProbabilities - Variable in class hex.genmodel.easy.prediction.MultinomialModelPrediction
This array has an element for each class (aka categorical or factor level) in the response column.
classProbabilities - Variable in class hex.genmodel.easy.prediction.OrdinalModelPrediction
This array has an element for each class (aka categorical or factor level) in the response column.
clear() - Method in class hex.genmodel.algos.deepwater.caffe.nano.Deepwater.Cmd
 
clear() - Method in class hex.genmodel.algos.deepwater.caffe.nano.Deepwater.Saved
 
close() - Method in class hex.genmodel.InMemoryMojoReaderBackend
 
close() - Method in class hex.genmodel.TmpMojoReaderBackend
 
cluster - Variable in class hex.genmodel.easy.prediction.ClusteringModelPrediction
Chosen cluster for this data point.
ClusteringModelPrediction - Class in hex.genmodel.easy.prediction
Clustering model prediction.
ClusteringModelPrediction() - Constructor for class hex.genmodel.easy.prediction.ClusteringModelPrediction
 
Cmd() - Constructor for class hex.genmodel.algos.deepwater.caffe.nano.Deepwater.Cmd
 
columnName - Variable in exception hex.genmodel.easy.exception.PredictUnknownCategoricalLevelException
 
columnNames() - Method in interface hex.genmodel.ModelDescriptor
 
columns() - Method in class hex.genmodel.descriptor.Table
 
compareTo(Object) - Method in class hex.genmodel.easy.prediction.SortedClassProbability
Comparison implementation for this object type.
computeSerializedSize() - Method in class hex.genmodel.algos.deepwater.caffe.nano.Deepwater.Cmd
 
computeSerializedSize() - Method in class hex.genmodel.algos.deepwater.caffe.nano.Deepwater.Saved
 
computeTreeGraph(int, String, byte[], byte[], String[], String[][]) - Static method in class hex.genmodel.algos.tree.SharedTreeMojoModel
 
Config() - Constructor for class hex.genmodel.easy.EasyPredictModelWrapper.Config
 
contains(int) - Method in class hex.genmodel.utils.GenmodelBitSet
 
contains0(int) - Method in class hex.genmodel.utils.GenmodelBitSet
 
contributions - Variable in class hex.genmodel.easy.prediction.BinomialModelPrediction
Per-feature prediction contributions (SHAP values).
contributions - Variable in class hex.genmodel.easy.prediction.RegressionModelPrediction
Per-feature prediction contributions (SHAP values).
convert(int, String) - Method in interface hex.genmodel.algos.tree.SharedTreeGraphConverter
Converts internal tree representation to a shared representation.
convert(int, String) - Method in class hex.genmodel.algos.tree.SharedTreeMojoModel
 
convertDouble2Float(double[]) - Static method in class hex.genmodel.GenModel
 
copyStream(InputStream, OutputStream) - Static method in class hex.genmodel.utils.IOUtils
 
correctProbabilities(double[], double[], double[]) - Static method in class hex.genmodel.GenModel
Correct a given list of class probabilities produced as a prediction by a model back to prior class distribution
cos(double, HashMap<String, String[]>) - Static method in class hex.genmodel.GenMunger
 
CountingErrorConsumer - Class in hex.genmodel.easy.error
An implementation of EasyPredictModelWrapper.ErrorConsumer counting number of each kind of error even received
CountingErrorConsumer(GenModel) - Constructor for class hex.genmodel.easy.error.CountingErrorConsumer
 
countmatches(String, HashMap<String, String[]>) - Static method in class hex.genmodel.GenMunger
 
Create - Static variable in interface hex.genmodel.algos.deepwater.caffe.nano.Deepwater
 
createActFuns(String) - Method in class hex.genmodel.algos.deeplearning.NeuralNetwork
 
createAuxKey(String) - Static method in class hex.genmodel.GenModel
 
createDeepWaterBackend(String) - Static method in class hex.genmodel.algos.deepwater.DeepwaterMojoModel
 
createReaderBackend(String) - Static method in class hex.genmodel.MojoReaderBackendFactory
 
createReaderBackend(File) - Static method in class hex.genmodel.MojoReaderBackendFactory
 
createReaderBackend(URL, MojoReaderBackendFactory.CachingStrategy) - Static method in class hex.genmodel.MojoReaderBackendFactory
 
createReaderBackend(InputStream, MojoReaderBackendFactory.CachingStrategy) - Static method in class hex.genmodel.MojoReaderBackendFactory
 
cut(double, HashMap<String, String[]>) - Static method in class hex.genmodel.GenMunger
 

D

data - Variable in class hex.genmodel.algos.deepwater.caffe.nano.Deepwater.Cmd
 
dataTransformError(String, Object, String) - Method in class hex.genmodel.easy.EasyPredictModelWrapper.ErrorConsumer
Observe transformation error for data from the predicted dataset.
dataTransformError(String, Object, String) - Method in class hex.genmodel.easy.error.CountingErrorConsumer
 
dataTransformError(String, Object, String) - Method in class hex.genmodel.easy.error.VoidErrorConsumer
 
DeeplearningMojoModel - Class in hex.genmodel.algos.deeplearning
 
DeeplearningMojoModel.StoreWeightsBias - Class in hex.genmodel.algos.deeplearning
 
DeeplearningMojoReader - Class in hex.genmodel.algos.deeplearning
 
DeeplearningMojoReader() - Constructor for class hex.genmodel.algos.deeplearning.DeeplearningMojoReader
 
Deepwater - Interface in hex.genmodel.algos.deepwater.caffe.nano
 
Deepwater.Cmd - Class in hex.genmodel.algos.deepwater.caffe.nano
 
Deepwater.Saved - Class in hex.genmodel.algos.deepwater.caffe.nano
 
DeepwaterCaffeBackend - Class in hex.genmodel.algos.deepwater.caffe
This backend forward requests to a docker images running the python Caffe interface.
DeepwaterCaffeBackend() - Constructor for class hex.genmodel.algos.deepwater.caffe.DeepwaterCaffeBackend
 
DeepwaterCaffeModel - Class in hex.genmodel.algos.deepwater.caffe
 
DeepwaterCaffeModel(int, int[], String[], double[], long, boolean) - Constructor for class hex.genmodel.algos.deepwater.caffe.DeepwaterCaffeModel
 
DeepwaterCaffeModel(String, int[], long, boolean) - Constructor for class hex.genmodel.algos.deepwater.caffe.DeepwaterCaffeModel
 
DeepwaterMojoModel - Class in hex.genmodel.algos.deepwater
 
DeepwaterMojoReader - Class in hex.genmodel.algos.deepwater
 
DeepwaterMojoReader() - Constructor for class hex.genmodel.algos.deepwater.DeepwaterMojoReader
 
defaultThreshold() - Method in interface hex.genmodel.ModelDescriptor
 
delete(BackendModel) - Method in class hex.genmodel.algos.deepwater.caffe.DeepwaterCaffeBackend
 
deleteSavedModel(String) - Method in class hex.genmodel.algos.deepwater.caffe.DeepwaterCaffeBackend
 
deleteSavedParam(String) - Method in class hex.genmodel.algos.deepwater.caffe.DeepwaterCaffeBackend
 
dimensions - Variable in class hex.genmodel.easy.prediction.DimReductionModelPrediction
 
DimReductionModelPrediction - Class in hex.genmodel.easy.prediction
TODO
DimReductionModelPrediction() - Constructor for class hex.genmodel.easy.prediction.DimReductionModelPrediction
 
distances(double[], double[]) - Method in class hex.genmodel.algos.kmeans.KMeansMojoModel
 
distances - Variable in class hex.genmodel.easy.prediction.ClusteringModelPrediction
(Optional) Vector of squared distances to all cluster centers.
distances(double[], double[]) - Method in interface hex.genmodel.IClusteringModel
Calculates squared distances to all cluster centers.
DistributionFamily - Enum in hex.genmodel.utils
Used to be `hex.Distribution.Family`.
divide(double, HashMap<String, String[]>) - Static method in class hex.genmodel.GenMunger
 
domainMap - Variable in class hex.genmodel.easy.EasyPredictModelWrapper
 
DrfMojoModel - Class in hex.genmodel.algos.drf
"Distributed Random Forest" MojoModel
DrfMojoModel(String[], String[][], String) - Constructor for class hex.genmodel.algos.drf.DrfMojoModel
 
DrfMojoReader - Class in hex.genmodel.algos.drf
 
DrfMojoReader() - Constructor for class hex.genmodel.algos.drf.DrfMojoReader
 
dropoutRatios - Variable in class hex.genmodel.algos.deepwater.caffe.nano.Deepwater.Cmd
 

E

EasyPredictModelWrapper - Class in hex.genmodel.easy
An easy-to-use prediction wrapper for generated models.
EasyPredictModelWrapper(EasyPredictModelWrapper.Config) - Constructor for class hex.genmodel.easy.EasyPredictModelWrapper
Create a wrapper for a generated model.
EasyPredictModelWrapper(GenModel) - Constructor for class hex.genmodel.easy.EasyPredictModelWrapper
Create a wrapper for a generated model.
EasyPredictModelWrapper.Config - Class in hex.genmodel.easy
Configuration builder for instantiating a Wrapper.
EasyPredictModelWrapper.ErrorConsumer - Class in hex.genmodel.easy
Observer interface with methods corresponding to errors during the prediction.
emptyArray() - Static method in class hex.genmodel.algos.deepwater.caffe.nano.Deepwater.Cmd
 
emptyArray() - Static method in class hex.genmodel.algos.deepwater.caffe.nano.Deepwater.Saved
 
equals(Object) - Method in class hex.genmodel.algos.tree.SharedTreeGraph
 
equals(Object) - Method in class hex.genmodel.algos.tree.SharedTreeNode
 
equals(Object) - Method in class hex.genmodel.algos.tree.SharedTreeSubgraph
 
equalsWithinRecSumErr(double, double, int, double) - Static method in class hex.genmodel.utils.MathUtils
 
ErrorConsumer() - Constructor for class hex.genmodel.easy.EasyPredictModelWrapper.ErrorConsumer
 
escapeNewlines(String) - Static method in class hex.genmodel.utils.StringEscapeUtils
Escapes new line characters of a given string.
escapeQuotes(String) - Static method in class hex.genmodel.algos.tree.SharedTreeNode
 
eval(double[], double, int) - Method in interface hex.genmodel.algos.deeplearning.ActivationUtils.ActivationFunctions
 
eval(double[], double, int) - Method in class hex.genmodel.algos.deeplearning.ActivationUtils.ExpRectifierDropoutOut
 
eval(double[], double, int) - Method in class hex.genmodel.algos.deeplearning.ActivationUtils.ExpRectifierOut
 
eval(double[], double, int) - Method in class hex.genmodel.algos.deeplearning.ActivationUtils.LinearOut
 
eval(double[], double, int) - Method in class hex.genmodel.algos.deeplearning.ActivationUtils.MaxoutDropoutOut
 
eval(double[], double, int) - Method in class hex.genmodel.algos.deeplearning.ActivationUtils.MaxoutOut
 
eval(double[], double, int) - Method in class hex.genmodel.algos.deeplearning.ActivationUtils.RectifierDropoutOut
 
eval(double[], double, int) - Method in class hex.genmodel.algos.deeplearning.ActivationUtils.RectifierOut
 
eval(double[], double, int) - Method in class hex.genmodel.algos.deeplearning.ActivationUtils.SoftmaxOut
 
eval(double[], double, int) - Method in class hex.genmodel.algos.deeplearning.ActivationUtils.TanhDropoutOut
 
eval(double[], double, int) - Method in class hex.genmodel.algos.deeplearning.ActivationUtils.TanhOut
 
exists(String) - Method in class hex.genmodel.InMemoryMojoReaderBackend
 
exists(String) - Method in class hex.genmodel.ModelMojoReader
 
exists(String) - Method in interface hex.genmodel.MojoReaderBackend
 
exp(double) - Static method in enum hex.genmodel.utils.DistributionFamily
 
ExpRectifierDropoutOut() - Constructor for class hex.genmodel.algos.deeplearning.ActivationUtils.ExpRectifierDropoutOut
 
ExpRectifierOut() - Constructor for class hex.genmodel.algos.deeplearning.ActivationUtils.ExpRectifierOut
 
expString(String) - Static method in enum hex.genmodel.utils.DistributionFamily
 
extractLayer(BackendModel, String, float[]) - Method in class hex.genmodel.algos.deepwater.caffe.DeepwaterCaffeBackend
 
extractTableFromJson(JsonObject, String) - Static method in class hex.genmodel.descriptor.JsonModelDescriptorReader
Extracts a Table from H2O's model serialized into JSON.
extractType(String) - Static method in enum hex.genmodel.descriptor.Table.ColumnType
 

F

Failure - Static variable in interface hex.genmodel.algos.deepwater.caffe.nano.Deepwater
 
features() - Method in class hex.genmodel.GenModel
Returns names of input features.
features() - Method in interface hex.genmodel.IGenModel
Returns names of input features.
features() - Method in interface hex.genmodel.ModelDescriptor
 
fill(byte[], int, int, int) - Method in class hex.genmodel.utils.GenmodelBitSet
 
fill2(byte[], ByteBufferWrapper) - Method in class hex.genmodel.utils.GenmodelBitSet
 
fill3(byte[], ByteBufferWrapper) - Method in class hex.genmodel.utils.GenmodelBitSet
 
fill3_1(byte[], ByteBufferWrapper) - Method in class hex.genmodel.utils.GenmodelBitSet
 
fill_1(byte[], int, int, int) - Method in class hex.genmodel.utils.GenmodelBitSet
 
fillDefault(String[]) - Method in class hex.genmodel.GenMunger
 
fillRawData(RowData, double[]) - Method in class hex.genmodel.easy.EasyPredictModelWrapper
 
findColumnIndex(String) - Method in class hex.genmodel.descriptor.Table
 
finishWritingTextFile() - Method in class hex.genmodel.AbstractMojoWriter
Finish writing a text file.
fit(RowData) - Method in class hex.genmodel.GenMunger
 
foldColumn() - Method in interface hex.genmodel.ModelDescriptor
 
fontSize - Variable in class hex.genmodel.algos.tree.SharedTreeSubgraph
 
formNNInputs() - Method in class hex.genmodel.algos.deeplearning.NeuralNetwork
 
formNNInputsMaxOut() - Method in class hex.genmodel.algos.deeplearning.NeuralNetwork
 
fprop1Layer() - Method in class hex.genmodel.algos.deeplearning.NeuralNetwork
 

G

GBM_rescale(double[]) - Static method in class hex.genmodel.GenModel
 
GbmMojoModel - Class in hex.genmodel.algos.gbm
"Gradient Boosting Machine" MojoModel
GbmMojoModel(String[], String[][], String) - Constructor for class hex.genmodel.algos.gbm.GbmMojoModel
 
GbmMojoReader - Class in hex.genmodel.algos.gbm
 
GbmMojoReader() - Constructor for class hex.genmodel.algos.gbm.GbmMojoReader
 
GenModel - Class in hex.genmodel
This is a helper class to support Java generated models.
GenModel(String[], String[][], String) - Constructor for class hex.genmodel.GenModel
 
GenModel(String[], String[][]) - Constructor for class hex.genmodel.GenModel
Deprecated.
This constructor is deprecated and will be removed in a future version. use GenModel.GenModel(String[] names, String[][] domains, String responseColumn)() instead.
GenmodelBitSet - Class in hex.genmodel.utils
GenmodelBitSet - bitset that "lives" on top of an external byte array.
GenmodelBitSet(int) - Constructor for class hex.genmodel.utils.GenmodelBitSet
 
GenmodelBitSet(int, int) - Constructor for class hex.genmodel.utils.GenmodelBitSet
 
GenMunger - Class in hex.genmodel
 
GenMunger() - Constructor for class hex.genmodel.GenMunger
 
GenMunger.Step<T> - Class in hex.genmodel
 
get1U() - Method in class hex.genmodel.utils.ByteBufferWrapper
 
get2() - Method in class hex.genmodel.utils.ByteBufferWrapper
 
get3() - Method in class hex.genmodel.utils.ByteBufferWrapper
 
get4() - Method in class hex.genmodel.utils.ByteBufferWrapper
 
get4f() - Method in class hex.genmodel.utils.ByteBufferWrapper
 
get8d() - Method in class hex.genmodel.utils.ByteBufferWrapper
 
getBinaryFile(String) - Method in class hex.genmodel.InMemoryMojoReaderBackend
 
getBinaryFile(String) - Method in interface hex.genmodel.MojoReaderBackend
 
getBs() - Method in class hex.genmodel.algos.tree.SharedTreeNode
 
getCatCidx(int, int, int[], int[]) - Static method in class hex.genmodel.algos.glrm.GlrmMojoModel
 
getCell(int, int) - Method in class hex.genmodel.descriptor.Table
 
getCellValues() - Method in class hex.genmodel.descriptor.Table
 
getColHeaderForRowHeaders() - Method in class hex.genmodel.descriptor.Table
 
getColHeaders() - Method in class hex.genmodel.descriptor.Table
 
getColIdx(String) - Method in class hex.genmodel.GenModel
Returns index of a column with given name, or -1 if the column is not found.
getColIdx(String) - Method in interface water.genmodel.IGeneratedModel
Returns index of column with give name or -1 if column is not found.
getColName() - Method in class hex.genmodel.algos.tree.SharedTreeNode
 
getColTypes() - Method in class hex.genmodel.descriptor.Table
 
getColTypesString() - Method in class hex.genmodel.descriptor.Table
 
getColumnName() - Method in exception hex.genmodel.easy.exception.PredictUnknownCategoricalLevelException
Get the column name for which the unknown level was given as input.
getConvertInvalidNumbersToNa() - Method in class hex.genmodel.easy.EasyPredictModelWrapper.Config
 
getConvertUnknownCategoricalLevelsToNa() - Method in class hex.genmodel.easy.EasyPredictModelWrapper.Config
 
getDataTransformationErrorsCount() - Method in class hex.genmodel.easy.error.CountingErrorConsumer
 
getDataTransformationErrorsCountPerColumn() - Method in class hex.genmodel.easy.error.CountingErrorConsumer
An unmodifiable, thread-safe map of all columns with counts of data transformation errors observed.
getDecisionPath(double, SharedTreeMojoModel.DecisionPathTracker<T>) - Static method in class hex.genmodel.algos.tree.SharedTreeMojoModel
 
getDecisionPath(double) - Static method in class hex.genmodel.algos.tree.SharedTreeMojoModel
 
getDecisionPath(double[]) - Method in class hex.genmodel.algos.tree.SharedTreeMojoModel
 
getDecisionPathNames() - Method in class hex.genmodel.algos.tree.SharedTreeMojoModel
 
getDepth() - Method in class hex.genmodel.algos.tree.SharedTreeNode
 
getDomainValues() - Method in class hex.genmodel.algos.tree.SharedTreeNode
 
getDomainValues(String) - Method in class hex.genmodel.GenModel
Gets domain of the given column.
getDomainValues(int) - Method in class hex.genmodel.GenModel
Returns domain values for the i-th column.
getDomainValues() - Method in class hex.genmodel.GenModel
Returns domain values for all columns, including the response column.
getDomainValues(String) - Method in interface water.genmodel.IGeneratedModel
Gets domain of given column.
getDomainValues(int) - Method in interface water.genmodel.IGeneratedModel
Returns domain values for i-th column.
getDomainValues() - Method in interface water.genmodel.IGeneratedModel
Returns domain values for all columns including response column.
getEnableContributions() - Method in class hex.genmodel.easy.EasyPredictModelWrapper.Config
 
getEnableGLRMReconstrut() - Method in class hex.genmodel.easy.EasyPredictModelWrapper.Config
 
getEnableLeafAssignment() - Method in class hex.genmodel.easy.EasyPredictModelWrapper.Config
 
getEnableStagedProbabilities() - Method in class hex.genmodel.easy.EasyPredictModelWrapper.Config
 
getErrorConsumer() - Method in class hex.genmodel.easy.EasyPredictModelWrapper.Config
 
getHeader() - Method in class hex.genmodel.easy.EasyPredictModelWrapper
Some autoencoder thing, I'm not sure what this does.
getHeader() - Method in class hex.genmodel.GenModel
???
getInclusiveLevels() - Method in class hex.genmodel.algos.tree.SharedTreeNode
 
getInclusiveNa() - Method in class hex.genmodel.algos.tree.SharedTreeNode
 
getIntercept() - Method in class hex.genmodel.algos.glm.GlmMojoModel
 
getLeafNodeAssignments(double[]) - Method in class hex.genmodel.algos.tree.SharedTreeMojoModel
 
getLeafNodeId(double, byte[]) - Static method in class hex.genmodel.algos.tree.SharedTreeMojoModel
 
getLeafValue() - Method in class hex.genmodel.algos.tree.SharedTreeNode
 
getLeftChild() - Method in class hex.genmodel.algos.tree.SharedTreeNode
 
getLeftChildIndex() - Method in class hex.genmodel.algos.tree.SharedTreeNode
 
getModel() - Method in class hex.genmodel.easy.EasyPredictModelWrapper.Config
 
getModel(String) - Method in class hex.genmodel.MultiModelMojoReader
 
getModelCategories() - Method in class hex.genmodel.algos.glrm.GlrmMojoModel
 
getModelCategories() - Method in class hex.genmodel.GenModel
Override this for models that may produce results in different categories.
getModelCategories() - Method in interface hex.genmodel.IGenModel
For models with multiple categories, returns the set of all supported categories.
getModelCategory() - Method in class hex.genmodel.easy.EasyPredictModelWrapper
Get the category (type) of model.
getModelCategory() - Method in class hex.genmodel.GenModel
Returns this model category.
getModelCategory() - Method in interface hex.genmodel.IGenModel
Returns this model category.
getModelCategory() - Method in interface hex.genmodel.ModelDescriptor
 
getModelCategory() - Method in class hex.genmodel.MojoModel
 
getModelName() - Method in class hex.genmodel.algos.deeplearning.DeeplearningMojoReader
 
getModelName() - Method in class hex.genmodel.algos.deepwater.DeepwaterMojoReader
 
getModelName() - Method in class hex.genmodel.algos.drf.DrfMojoReader
 
getModelName() - Method in class hex.genmodel.algos.ensemble.StackedEnsembleMojoReader
 
getModelName() - Method in class hex.genmodel.algos.gbm.GbmMojoReader
 
getModelName() - Method in class hex.genmodel.algos.glm.GlmMojoReader
 
getModelName() - Method in class hex.genmodel.algos.glrm.GlrmMojoReader
 
getModelName() - Method in class hex.genmodel.algos.isofor.IsolationForestMojoReader
 
getModelName() - Method in class hex.genmodel.algos.kmeans.KMeansMojoReader
 
getModelName() - Method in class hex.genmodel.algos.pipeline.MojoPipelineReader
 
getModelName() - Method in class hex.genmodel.algos.svm.SvmMojoReader
 
getModelName() - Method in class hex.genmodel.algos.word2vec.Word2VecMojoReader
 
getModelName() - Method in class hex.genmodel.ModelMojoReader
 
getMojoReader(String) - Method in class hex.genmodel.ModelMojoFactory
 
getName() - Method in class hex.genmodel.algos.tree.SharedTreeNode
 
getNames() - Method in class hex.genmodel.GenModel
The names of all columns used, including response and offset columns.
getNames() - Method in interface water.genmodel.IGeneratedModel
The names of columns used in the model.
getNodeNumber() - Method in class hex.genmodel.algos.tree.SharedTreeNode
 
getNTreeGroups() - Method in class hex.genmodel.algos.tree.SharedTreeMojoModel
 
getNTreesPerGroup() - Method in class hex.genmodel.algos.tree.SharedTreeMojoModel
 
getNumCidx(int, int[]) - Static method in class hex.genmodel.algos.glrm.GlrmMojoModel
 
getNumClasses(int) - Method in class hex.genmodel.GenModel
Get number of classes in the given column.
getNumClasses(int) - Method in interface water.genmodel.IGeneratedModel
Get number of classes in in given column.
getNumClusters() - Method in class hex.genmodel.algos.kmeans.KMeansMojoModel
 
getNumClusters() - Method in interface hex.genmodel.IClusteringModel
Returns number of cluster used by this model.
getNumCols() - Method in class hex.genmodel.GenModel
Returns number of columns used as input for training (i.e., exclude response and offset columns).
getNumCols() - Method in interface water.genmodel.IGeneratedModel
Returns number of columns used as input for training (i.e., exclude response and offset columns).
getNumResponseClasses() - Method in class hex.genmodel.GenModel
Return a number of classes in response column.
getNumResponseClasses() - Method in interface water.genmodel.IGeneratedModel
Return a number of classes in response column.
getParent() - Method in class hex.genmodel.algos.tree.SharedTreeNode
 
getPrediction(double[], double[], double[], double) - Static method in class hex.genmodel.GenModel
Utility function to get a best prediction from an array of class prediction distribution.
getPredsSize(ModelCategory) - Method in class hex.genmodel.algos.deeplearning.DeeplearningMojoModel
 
getPredsSize(ModelCategory) - Method in class hex.genmodel.algos.glrm.GlrmMojoModel
 
getPredsSize() - Method in class hex.genmodel.GenModel
Returns the expected size of preds array which is passed to `predict(double[], double[])` function.
getPredsSize(ModelCategory) - Method in class hex.genmodel.GenModel
 
getPredsSize() - Method in interface water.genmodel.IGeneratedModel
Returns the expected size of preds array which is passed to `predict(double[], float[])` function.
getPredValue() - Method in class hex.genmodel.algos.tree.SharedTreeNode
 
getResponseDomainValues() - Method in class hex.genmodel.easy.EasyPredictModelWrapper
Get the array of levels for the response column.
getResponseIdx() - Method in class hex.genmodel.GenModel
Returns the index of the response column inside getDomains().
getResponseIdx() - Method in interface water.genmodel.IGeneratedModel
Returns an index of the response column inside getDomains().
getResponseName() - Method in class hex.genmodel.GenModel
The name of the response column.
getResponseName() - Method in interface water.genmodel.IGeneratedModel
Deprecated.
getRightChild() - Method in class hex.genmodel.algos.tree.SharedTreeNode
 
getRightChildIndex() - Method in class hex.genmodel.algos.tree.SharedTreeNode
 
getRowData(double[]) - Method in class hex.genmodel.algos.glrm.GlrmMojoModel
 
getRowHeaders() - Method in class hex.genmodel.descriptor.Table
 
getSplitIndex() - Method in class hex.genmodel.algos.tree.SharedTreeNode
 
getSplitValue() - Method in class hex.genmodel.algos.tree.SharedTreeNode
 
getSquaredError() - Method in class hex.genmodel.algos.tree.SharedTreeNode
 
getSubgraphNumber() - Method in class hex.genmodel.algos.tree.SharedTreeNode
 
getSubModels() - Method in class hex.genmodel.MultiModelMojoReader
 
getTableDescription() - Method in class hex.genmodel.descriptor.Table
 
getTableHeader() - Method in class hex.genmodel.descriptor.Table
 
getTextFile(String) - Method in class hex.genmodel.InMemoryMojoReaderBackend
 
getTextFile(String) - Method in interface hex.genmodel.MojoReaderBackend
 
getTotalUnknownCategoricalLevelsSeen() - Method in class hex.genmodel.easy.error.CountingErrorConsumer
Counts and returns all previously unseen categorical variables across all columns.
getTreePath - Variable in class hex.genmodel.tools.PredictCsv
 
getUnknownCategoricalsPerColumn() - Method in class hex.genmodel.easy.error.CountingErrorConsumer
Returns a thread-safe Map with column names as keys and number of observed unknown categorical values associated with each column.
getUnknownLevel() - Method in exception hex.genmodel.easy.exception.PredictUnknownCategoricalLevelException
Get the unknown level which was not seen during model training.
getUseExtendedOutput() - Method in class hex.genmodel.easy.EasyPredictModelWrapper.Config
 
getUUID() - Method in class hex.genmodel.GenModel
 
getUUID() - Method in class hex.genmodel.MojoModel
 
getUUID() - Method in interface water.genmodel.IGeneratedModel
Returns model's unique identifier.
getVecSize() - Method in class hex.genmodel.algos.word2vec.Word2VecMojoModel
 
getVecSize() - Method in interface hex.genmodel.algos.word2vec.WordEmbeddingModel
Dimensionality of the vector space of this Word Embedding model
getWeight() - Method in class hex.genmodel.algos.tree.SharedTreeNode
 
GLM_identityInv(double) - Static method in class hex.genmodel.GenModel
 
GLM_inverseInv(double) - Static method in class hex.genmodel.GenModel
 
GLM_logInv(double) - Static method in class hex.genmodel.GenModel
 
GLM_logitInv(double) - Static method in class hex.genmodel.GenModel
 
GLM_ologitInv(double) - Static method in class hex.genmodel.GenModel
 
GLM_tweedieInv(double, double) - Static method in class hex.genmodel.GenModel
 
GlmMojoModel - Class in hex.genmodel.algos.glm
 
GlmMojoReader - Class in hex.genmodel.algos.glm
 
GlmMojoReader() - Constructor for class hex.genmodel.algos.glm.GlmMojoReader
 
GlmMultinomialMojoModel - Class in hex.genmodel.algos.glm
 
GlmOrdinalMojoModel - Class in hex.genmodel.algos.glm
 
GlrmInitialization - Enum in hex.genmodel.algos.glrm
Initialization strategy for matrices X and Y in the GLRM algorithm.
GlrmLoss - Enum in hex.genmodel.algos.glrm
Loss function for the GLRM algorithm.
GlrmMojoModel - Class in hex.genmodel.algos.glrm
 
GlrmMojoModel(String[], String[][], String) - Constructor for class hex.genmodel.algos.glrm.GlrmMojoModel
 
GlrmMojoReader - Class in hex.genmodel.algos.glrm
 
GlrmMojoReader() - Constructor for class hex.genmodel.algos.glrm.GlrmMojoReader
 
GlrmRegularizer - Enum in hex.genmodel.algos.glrm
Regularization method for matrices X and Y in the GLRM algorithm.
go(int, boolean) - Method in interface hex.genmodel.algos.tree.SharedTreeMojoModel.DecisionPathTracker
 
go(int, boolean) - Method in class hex.genmodel.algos.tree.SharedTreeMojoModel.LeafDecisionPathTracker
 
go(int, boolean) - Method in class hex.genmodel.algos.tree.SharedTreeMojoModel.StringDecisionPathTracker
 
graph - Variable in class hex.genmodel.algos.deepwater.caffe.nano.Deepwater.Cmd
 

H

H2OPredictor - Class in water.util
Created by magnus on 5/5/16.
H2OPredictor(String, String) - Constructor for class water.util.H2OPredictor
 
hashCode() - Method in class hex.genmodel.algos.tree.SharedTreeGraph
 
hashCode() - Method in class hex.genmodel.algos.tree.SharedTreeNode
 
hashCode() - Method in class hex.genmodel.algos.tree.SharedTreeSubgraph
 
hasRemaining() - Method in class hex.genmodel.utils.ByteBufferWrapper
 
hex - package hex
Shared code between the H2O runtime and generated POJO and POJO models.
hex.genmodel - package hex.genmodel
Low-level information about generated POJO and MOJO models.
hex.genmodel.algos.deeplearning - package hex.genmodel.algos.deeplearning
 
hex.genmodel.algos.deepwater - package hex.genmodel.algos.deepwater
 
hex.genmodel.algos.deepwater.caffe - package hex.genmodel.algos.deepwater.caffe
 
hex.genmodel.algos.deepwater.caffe.nano - package hex.genmodel.algos.deepwater.caffe.nano
 
hex.genmodel.algos.drf - package hex.genmodel.algos.drf
 
hex.genmodel.algos.ensemble - package hex.genmodel.algos.ensemble
 
hex.genmodel.algos.gbm - package hex.genmodel.algos.gbm
 
hex.genmodel.algos.glm - package hex.genmodel.algos.glm
 
hex.genmodel.algos.glrm - package hex.genmodel.algos.glrm
 
hex.genmodel.algos.isofor - package hex.genmodel.algos.isofor
 
hex.genmodel.algos.kmeans - package hex.genmodel.algos.kmeans
 
hex.genmodel.algos.pipeline - package hex.genmodel.algos.pipeline
 
hex.genmodel.algos.svm - package hex.genmodel.algos.svm
 
hex.genmodel.algos.tree - package hex.genmodel.algos.tree
 
hex.genmodel.algos.word2vec - package hex.genmodel.algos.word2vec
 
hex.genmodel.annotations - package hex.genmodel.annotations
 
hex.genmodel.descriptor - package hex.genmodel.descriptor
 
hex.genmodel.easy - package hex.genmodel.easy
The easy prediction API for generated POJO and MOJO models.
hex.genmodel.easy.error - package hex.genmodel.easy.error
 
hex.genmodel.easy.exception - package hex.genmodel.easy.exception
Exceptions that can be raised by generated POJO and MOJO models.
hex.genmodel.easy.prediction - package hex.genmodel.easy.prediction
Prediction types that can be returned by generated POJO and MOJO models.
hex.genmodel.tools - package hex.genmodel.tools
Tools that use generated POJO and MOJO models.
hex.genmodel.utils - package hex.genmodel.utils
 

I

IClusteringModel - Interface in hex.genmodel
Clustering Model Interface
IGeneratedModel - Interface in water.genmodel
A generic interface to access generated models.
IGenModel - Interface in hex.genmodel
Interface publishing methods for generated models.
img2pixels(BufferedImage, int, int, int, float[], int, float[]) - Static method in class hex.genmodel.GenModel
 
impute(double) - Method in enum hex.genmodel.algos.glrm.GlrmLoss
\argmin_a L(u, a): Data imputation for real numeric values
impute_data(double[], double[], int, int, int[], boolean, double[], double[], GlrmLoss[], boolean, double[][], int[], int[]) - Static method in class hex.genmodel.algos.glrm.GlrmMojoModel
 
init() - Method in class hex.genmodel.algos.deeplearning.DeeplearningMojoModel
 
initializeAlphas(int) - Static method in class hex.genmodel.algos.glrm.GlrmMojoModel
 
InMemoryMojoReaderBackend - Class in hex.genmodel
 
InMemoryMojoReaderBackend(Map<String, byte[]>) - Constructor for class hex.genmodel.InMemoryMojoReaderBackend
 
inNames() - Method in class hex.genmodel.GenMunger
 
inputShape - Variable in class hex.genmodel.algos.deepwater.caffe.nano.Deepwater.Cmd
 
inputShape - Variable in class hex.genmodel.algos.deepwater.caffe.nano.Deepwater.Saved
 
INSTANCE - Static variable in class hex.genmodel.ModelMojoFactory
 
inTypes() - Method in class hex.genmodel.GenMunger
 
IOUtils - Class in hex.genmodel.utils
 
IOUtils() - Constructor for class hex.genmodel.utils.IOUtils
 
isAutoEncoder() - Method in class hex.genmodel.GenModel
Returns true if this model represents an AutoEncoder.
isAutoEncoder() - Method in interface water.genmodel.IGeneratedModel
 
isBitset() - Method in class hex.genmodel.algos.tree.SharedTreeNode
 
isBoolColumn(String[]) - Static method in class hex.genmodel.utils.ArrayUtils
Check to see if a column is a boolean column.
isClassifier() - Method in class hex.genmodel.GenModel
Returns true if this model represents a classifier, else it is used for regression.
isClassifier() - Method in interface water.genmodel.IGeneratedModel
 
isForBinary() - Method in enum hex.genmodel.algos.glrm.GlrmLoss
 
isForCategorical() - Method in enum hex.genmodel.algos.glrm.GlrmLoss
 
isForNumeric() - Method in enum hex.genmodel.algos.glrm.GlrmLoss
 
isInclusiveNa() - Method in class hex.genmodel.algos.tree.SharedTreeNode
 
isInRange(int) - Method in class hex.genmodel.utils.GenmodelBitSet
 
isLeaf() - Method in class hex.genmodel.algos.tree.SharedTreeNode
 
isLeftward() - Method in class hex.genmodel.algos.tree.SharedTreeNode
 
isNaVsRest() - Method in class hex.genmodel.algos.tree.SharedTreeNode
 
IsolationForestMojoModel - Class in hex.genmodel.algos.isofor
 
IsolationForestMojoModel(String[], String[][], String) - Constructor for class hex.genmodel.algos.isofor.IsolationForestMojoModel
 
IsolationForestMojoReader - Class in hex.genmodel.algos.isofor
 
IsolationForestMojoReader() - Constructor for class hex.genmodel.algos.isofor.IsolationForestMojoReader
 
isSupervised() - Method in class hex.genmodel.GenModel
Returns true for supervised models.
isSupervised() - Method in interface hex.genmodel.IGenModel
Returns true for supervised models.
isSupervised() - Method in interface hex.genmodel.ModelDescriptor
 
isSupervised() - Method in class hex.genmodel.MojoModel
 

J

JsonModelDescriptorReader - Class in hex.genmodel.descriptor
Utility class for extracting model details from JSON
JsonModelDescriptorReader() - Constructor for class hex.genmodel.descriptor.JsonModelDescriptorReader
 

K

KMeans_closest(double[][], double[], String[][]) - Static method in class hex.genmodel.GenModel
 
KMeans_distance(double[], float[], int[], double[], double[]) - Static method in class hex.genmodel.GenModel
 
KMeans_distance(double[], double[], String[][]) - Static method in class hex.genmodel.GenModel
 
KMeans_distances(double[][], double[], String[][], double[]) - Static method in class hex.genmodel.GenModel
 
Kmeans_preprocessData(double[], double[], double[], int[]) - Static method in class hex.genmodel.GenModel
 
Kmeans_preprocessData(double, int, double[], double[], int[]) - Static method in class hex.genmodel.GenModel
 
KMeans_simplex(double[][], double[], String[][]) - Static method in class hex.genmodel.GenModel
 
KMeansMojoModel - Class in hex.genmodel.algos.kmeans
 
KMeansMojoReader - Class in hex.genmodel.algos.kmeans
 
KMeansMojoReader() - Constructor for class hex.genmodel.algos.kmeans.KMeansMojoReader
 

L

l2norm(double[]) - Static method in class hex.genmodel.utils.ArrayUtils
 
l2norm2(double[]) - Static method in class hex.genmodel.utils.ArrayUtils
 
l2norm2(double[], boolean) - Static method in class hex.genmodel.utils.ArrayUtils
 
label - Variable in class hex.genmodel.easy.prediction.BinomialModelPrediction
Label of the predicted level.
label - Variable in class hex.genmodel.easy.prediction.MultinomialModelPrediction
Label of the predicted level.
label - Variable in class hex.genmodel.easy.prediction.OrdinalModelPrediction
Label of the predicted level.
labelIndex - Variable in class hex.genmodel.easy.prediction.BinomialModelPrediction
0 or 1.
labelIndex - Variable in class hex.genmodel.easy.prediction.MultinomialModelPrediction
Index number of the predicted class (aka categorical or factor level) in the response column.
labelIndex - Variable in class hex.genmodel.easy.prediction.OrdinalModelPrediction
Index number of the predicted class (aka categorical or factor level) in the response column.
leaf_node_assignment(double[]) - Method in class hex.genmodel.algos.gbm.GbmMojoModel
 
leafNodeAssignment(RowData) - Method in class hex.genmodel.easy.EasyPredictModelWrapper
 
leafNodeAssignmentExtended(RowData) - Method in class hex.genmodel.easy.EasyPredictModelWrapper
 
leafNodeAssignmentIds - Variable in class hex.genmodel.easy.prediction.AnomalyDetectionPrediction
 
leafNodeAssignmentIds - Variable in class hex.genmodel.easy.prediction.BinomialModelPrediction
 
leafNodeAssignmentIds - Variable in class hex.genmodel.easy.prediction.MultinomialModelPrediction
 
leafNodeAssignmentIds - Variable in class hex.genmodel.easy.prediction.RegressionModelPrediction
 
LeafNodeAssignments() - Constructor for class hex.genmodel.algos.tree.SharedTreeMojoModel.LeafNodeAssignments
 
leafNodeAssignments - Variable in class hex.genmodel.easy.prediction.AnomalyDetectionPrediction
 
leafNodeAssignments - Variable in class hex.genmodel.easy.prediction.BinomialModelPrediction
 
leafNodeAssignments - Variable in class hex.genmodel.easy.prediction.MultinomialModelPrediction
 
leafNodeAssignments - Variable in class hex.genmodel.easy.prediction.RegressionModelPrediction
 
learningRate - Variable in class hex.genmodel.algos.deepwater.caffe.nano.Deepwater.Cmd
 
lgrad(double, double) - Method in enum hex.genmodel.algos.glrm.GlrmLoss
\grad_u L(u,a): Derivative of the numeric loss function with respect to u
LinearOut() - Constructor for class hex.genmodel.algos.deeplearning.ActivationUtils.LinearOut
 
link(double) - Method in enum hex.genmodel.utils.DistributionFamily
Canonical link
linkInv(double) - Method in enum hex.genmodel.utils.DistributionFamily
Canonical link inverse
linkInvString(String) - Method in enum hex.genmodel.utils.DistributionFamily
String version of link inverse (for POJO scoring code generation)
listAllLayers(BackendModel) - Method in class hex.genmodel.algos.deepwater.caffe.DeepwaterCaffeBackend
 
lmulCatBlock(double[], int, int[], boolean, double[][], int[]) - Static method in class hex.genmodel.algos.glrm.GlrmMojoModel
 
lmulNumCol(double[], int, boolean, double[][], int[]) - Static method in class hex.genmodel.algos.glrm.GlrmMojoModel
 
Load - Static variable in interface hex.genmodel.algos.deepwater.caffe.nano.Deepwater
 
load(String) - Static method in class hex.genmodel.MojoModel
Primary factory method for constructing MojoModel instances.
load(MojoReaderBackend) - Static method in class hex.genmodel.MojoModel
Advanced way of constructing Mojo models by supplying a custom mojoReader.
loadMeanImage(BackendModel, String) - Method in class hex.genmodel.algos.deepwater.caffe.DeepwaterCaffeBackend
 
loadParam(BackendModel, String) - Method in class hex.genmodel.algos.deepwater.caffe.DeepwaterCaffeBackend
 
loadParam(String) - Method in class hex.genmodel.algos.deepwater.caffe.DeepwaterCaffeModel
 
log(double) - Static method in enum hex.genmodel.utils.DistributionFamily
 
log_rescale(double[]) - Static method in class hex.genmodel.GenModel
 
loss(double, double) - Method in enum hex.genmodel.algos.glrm.GlrmLoss
Loss function for numeric variables

M

m - Variable in class hex.genmodel.easy.EasyPredictModelWrapper
 
main(String[]) - Static method in class hex.genmodel.tools.BuildPipeline
 
main(String[]) - Static method in class hex.genmodel.tools.MungeCsv
CSV reader and predictor test program.
main(String[]) - Static method in class hex.genmodel.tools.PredictCsv
 
main(String[]) - Static method in class hex.genmodel.tools.PrintMojo
 
main(String[]) - Static method in class water.util.H2OPredictor
 
makeContributionsPredictor() - Method in class hex.genmodel.algos.gbm.GbmMojoModel
 
makeContributionsPredictor() - Method in interface hex.genmodel.PredictContributionsFactory
Create an instance of PredictContributions The returned implementation is not guaranteed to be thread-safe and the caller is responsible for making sure each thread will have own copy of the instance
makeLeftChildNode(SharedTreeNode) - Method in class hex.genmodel.algos.tree.SharedTreeSubgraph
Make the left child of a node.
makeModel(String[], String[][], String) - Method in class hex.genmodel.algos.deeplearning.DeeplearningMojoReader
 
makeModel(String[], String[][], String) - Method in class hex.genmodel.algos.deepwater.DeepwaterMojoReader
 
makeModel(String[], String[][], String) - Method in class hex.genmodel.algos.drf.DrfMojoReader
 
makeModel(String[], String[][], String) - Method in class hex.genmodel.algos.ensemble.StackedEnsembleMojoReader
 
makeModel(String[], String[][], String) - Method in class hex.genmodel.algos.gbm.GbmMojoReader
 
makeModel(String[], String[][], String) - Method in class hex.genmodel.algos.glm.GlmMojoReader
 
makeModel(String[], String[][], String) - Method in class hex.genmodel.algos.glrm.GlrmMojoReader
 
makeModel(String[], String[][], String) - Method in class hex.genmodel.algos.isofor.IsolationForestMojoReader
 
makeModel(String[], String[][], String) - Method in class hex.genmodel.algos.kmeans.KMeansMojoReader
 
makeModel(String[], String[][], String) - Method in class hex.genmodel.algos.pipeline.MojoPipelineReader
 
makeModel(String[], String[][], String) - Method in class hex.genmodel.algos.svm.SvmMojoReader
 
makeModel(String[], String[][], String) - Method in class hex.genmodel.algos.word2vec.Word2VecMojoReader
 
makeModel(String[], String[][], String) - Method in class hex.genmodel.ModelMojoReader
 
makeRightChildNode(SharedTreeNode) - Method in class hex.genmodel.algos.tree.SharedTreeSubgraph
Make the right child of a node.
makeRootNode() - Method in class hex.genmodel.algos.tree.SharedTreeSubgraph
Make the root node in the tree.
makeSubgraph(String) - Method in class hex.genmodel.algos.tree.SharedTreeGraph
Make a new tree.
makeWorkspace() - Method in class hex.genmodel.algos.tree.TreeSHAP
 
makeWorkspace() - Method in class hex.genmodel.algos.tree.TreeSHAPEnsemble
 
makeWorkspace() - Method in interface hex.genmodel.algos.tree.TreeSHAPPredictor
 
mapEnum(int, String) - Method in class hex.genmodel.GenModel
Maps given column's categorical to the integer used by this model (returns -1 if mapping not found).
mapEnum(int, String) - Method in interface water.genmodel.IGeneratedModel
Maps given column's categorical to integer used by this model.
MappingSpec() - Constructor for class hex.genmodel.MojoPipelineBuilder.MappingSpec
 
MathUtils - Class in hex.genmodel.utils
Copied (partially) from water.util.MathUtils
MathUtils() - Constructor for class hex.genmodel.utils.MathUtils
 
maxArray(double[]) - Static method in class hex.genmodel.algos.deeplearning.ActivationUtils
 
maxIndex(double[], Random) - Static method in class hex.genmodel.utils.ArrayUtils
 
maxIndex(double[]) - Static method in class hex.genmodel.utils.ArrayUtils
 
MaxoutDropoutOut() - Constructor for class hex.genmodel.algos.deeplearning.ActivationUtils.MaxoutDropoutOut
 
MaxoutOut() - Constructor for class hex.genmodel.algos.deeplearning.ActivationUtils.MaxoutOut
 
mergeFrom(CodedInputByteBufferNano) - Method in class hex.genmodel.algos.deepwater.caffe.nano.Deepwater.Cmd
 
mergeFrom(CodedInputByteBufferNano) - Method in class hex.genmodel.algos.deepwater.caffe.nano.Deepwater.Saved
 
mimpute(double[]) - Method in enum hex.genmodel.algos.glrm.GlrmLoss
\argmin_a L(u, a): Data imputation for categorical values {0, 1, 2, ...}
minus(double, HashMap<String, String[]>) - Static method in class hex.genmodel.GenMunger
 
mlgrad(double[], int) - Method in enum hex.genmodel.algos.glrm.GlrmLoss
\grad_u L(u,a): Gradient of multidimensional loss function with respect to u
mlgrad(double[], int, double[], int) - Method in enum hex.genmodel.algos.glrm.GlrmLoss
\grad_u L(u,a): Gradient of multidimensional loss function with respect to u.
mloss(double[], int) - Method in enum hex.genmodel.algos.glrm.GlrmLoss
Loss function for categorical variables where the size of u represents the true column length.
mloss(double[], int, int) - Method in enum hex.genmodel.algos.glrm.GlrmLoss
Loss function for categorical variables performing same function as mloss above.
mod(double, HashMap<String, String[]>) - Static method in class hex.genmodel.GenMunger
 
MODEL_DETAILS_FILE - Static variable in class hex.genmodel.descriptor.JsonModelDescriptorReader
 
ModelCategory - Enum in hex
Different prediction categories for models.
modelClassDist() - Method in interface hex.genmodel.ModelDescriptor
 
ModelDescriptor - Interface in hex.genmodel
 
ModelDescriptorBuilder - Class in hex.genmodel.descriptor
 
ModelDescriptorBuilder(MojoModel) - Constructor for class hex.genmodel.descriptor.ModelDescriptorBuilder
 
ModelMojoFactory - Class in hex.genmodel
Factory class for instantiating specific MojoGenmodel classes based on the algo name.
ModelMojoReader<M extends MojoModel> - Class in hex.genmodel
Helper class to deserialize a model from MOJO format.
ModelMojoReader() - Constructor for class hex.genmodel.ModelMojoReader
 
ModelPojo - Annotation Type in hex.genmodel.annotations
Annotation to simplify identification of model pojos.
modelSummary(Table) - Method in class hex.genmodel.descriptor.ModelDescriptorBuilder
 
modelSummary() - Method in interface hex.genmodel.ModelDescriptor
 
ModelUtils - Class in water.util
Shared static code to support modeling, prediction, and scoring.
ModelUtils() - Constructor for class water.util.ModelUtils
 
modifyOutputs(double[], double[], double[]) - Method in class hex.genmodel.algos.deeplearning.DeeplearningMojoModel
 
MojoModel - Class in hex.genmodel
Prediction model based on the persisted binary data.
MojoModel(String[], String[][], String) - Constructor for class hex.genmodel.MojoModel
 
MojoPipeline - Class in hex.genmodel.algos.pipeline
 
MojoPipeline(String[], String[][], String) - Constructor for class hex.genmodel.algos.pipeline.MojoPipeline
 
MojoPipelineBuilder - Class in hex.genmodel
 
MojoPipelineBuilder() - Constructor for class hex.genmodel.MojoPipelineBuilder
 
MojoPipelineBuilder.MappingSpec - Class in hex.genmodel
 
MojoPipelineReader - Class in hex.genmodel.algos.pipeline
 
MojoPipelineReader() - Constructor for class hex.genmodel.algos.pipeline.MojoPipelineReader
 
MojoPipelineWriter - Class in hex.genmodel
 
MojoReaderBackend - Interface in hex.genmodel
 
MojoReaderBackendFactory - Class in hex.genmodel
Factory class for vending MojoReaderBackend object that can be used to load MOJOs from different data sources.
MojoReaderBackendFactory() - Constructor for class hex.genmodel.MojoReaderBackendFactory
 
MojoReaderBackendFactory.CachingStrategy - Enum in hex.genmodel
 
mojoVersion() - Method in class hex.genmodel.AbstractMojoWriter
Version of the mojo file produced.
mojoVersion() - Method in class hex.genmodel.algos.deeplearning.DeeplearningMojoReader
 
mojoVersion() - Method in class hex.genmodel.algos.deepwater.DeepwaterMojoReader
 
mojoVersion() - Method in class hex.genmodel.algos.drf.DrfMojoReader
 
mojoVersion() - Method in class hex.genmodel.algos.ensemble.StackedEnsembleMojoReader
 
mojoVersion() - Method in class hex.genmodel.algos.gbm.GbmMojoReader
 
mojoVersion() - Method in class hex.genmodel.algos.glm.GlmMojoReader
 
mojoVersion() - Method in class hex.genmodel.algos.glrm.GlrmMojoReader
 
mojoVersion() - Method in class hex.genmodel.algos.isofor.IsolationForestMojoReader
 
mojoVersion() - Method in class hex.genmodel.algos.kmeans.KMeansMojoReader
 
mojoVersion() - Method in class hex.genmodel.algos.pipeline.MojoPipelineReader
 
mojoVersion() - Method in class hex.genmodel.algos.svm.SvmMojoReader
 
mojoVersion() - Method in class hex.genmodel.algos.word2vec.Word2VecMojoReader
 
mojoVersion() - Method in class hex.genmodel.ModelMojoReader
Maximal version of the mojo file current model reader supports.
mojoVersion() - Method in class hex.genmodel.MojoPipelineWriter
 
momentum - Variable in class hex.genmodel.algos.deepwater.caffe.nano.Deepwater.Cmd
 
mse - Variable in class hex.genmodel.easy.prediction.AutoEncoderModelPrediction
Reconstruction mean squared error calculated from original and reconstructed data.
MultiModelMojoReader<M extends MojoModel> - Class in hex.genmodel
 
MultiModelMojoReader() - Constructor for class hex.genmodel.MultiModelMojoReader
 
MultinomialModelPrediction - Class in hex.genmodel.easy.prediction
Binomial classification model prediction.
MultinomialModelPrediction() - Constructor for class hex.genmodel.easy.prediction.MultinomialModelPrediction
 
multiply(double, HashMap<String, String[]>) - Static method in class hex.genmodel.GenMunger
 
MungeCsv - Class in hex.genmodel.tools
Simple driver program for reading a CSV file and munging it.
MungeCsv() - Constructor for class hex.genmodel.tools.MungeCsv
 

N

name - Variable in class hex.genmodel.algos.tree.SharedTreeSubgraph
 
name - Variable in class hex.genmodel.easy.prediction.SortedClassProbability
Name of this class level.
names() - Method in class hex.genmodel.GenMunger.Step
 
NaSplitDir - Enum in hex.genmodel.algos.tree
Copy of `hex.tree.DHistogram.NASplitDir` in package `h2o-algos`.
nchar(String, HashMap<String, String[]>) - Static method in class hex.genmodel.GenMunger
 
nclasses() - Method in class hex.genmodel.GenModel
Returns number of output classes for classifiers, 1 for regression models, and 0 for unsupervised models.
nclasses() - Method in interface hex.genmodel.IGenModel
Returns number of output classes for classifiers or 1 for regression models.
nclasses() - Method in interface hex.genmodel.ModelDescriptor
 
nclasses() - Method in class hex.genmodel.MojoModel
 
NeuralNetwork - Class in hex.genmodel.algos.deeplearning
 
NeuralNetwork(String, double, DeeplearningMojoModel.StoreWeightsBias, double[], int) - Constructor for class hex.genmodel.algos.deeplearning.NeuralNetwork
 
next(double[]) - Method in class hex.genmodel.algos.tree.SharedTreeNode
 
nfeatures() - Method in class hex.genmodel.GenModel
Returns number of input features.
nfeatures() - Method in interface hex.genmodel.IGenModel
Returns number of input features.
nfeatures() - Method in interface hex.genmodel.ModelDescriptor
 
nfeatures() - Method in class hex.genmodel.MojoModel
 
nodesArray - Variable in class hex.genmodel.algos.tree.SharedTreeSubgraph
 
normalizedScore - Variable in class hex.genmodel.easy.prediction.AnomalyDetectionPrediction
 
nPlaces - Variable in class hex.genmodel.algos.tree.SharedTreeSubgraph
 

O

offsetColumn() - Method in interface hex.genmodel.ModelDescriptor
 
OrdinalModelPrediction - Class in hex.genmodel.easy.prediction
Ordinal classification model prediction.
OrdinalModelPrediction() - Constructor for class hex.genmodel.easy.prediction.OrdinalModelPrediction
 
original - Variable in class hex.genmodel.easy.prediction.AutoEncoderModelPrediction
Representation of the original input the way AutoEncoder model sees it (1-hot encoded categorical values)
outNames() - Method in class hex.genmodel.GenMunger
 
outNames() - Method in class hex.genmodel.GenMunger.Step
 

P

params() - Method in class hex.genmodel.GenMunger.Step
 
parse(String) - Static method in class hex.genmodel.MojoPipelineBuilder.MappingSpec
 
parseArrayOfDoubles(String) - Static method in class hex.genmodel.utils.ParseUtils
 
parseArrayOfInts(String) - Static method in class hex.genmodel.utils.ParseUtils
 
parseArrayOfLongs(String) - Static method in class hex.genmodel.utils.ParseUtils
 
parseFrom(byte[]) - Static method in class hex.genmodel.algos.deepwater.caffe.nano.Deepwater.Cmd
 
parseFrom(CodedInputByteBufferNano) - Static method in class hex.genmodel.algos.deepwater.caffe.nano.Deepwater.Cmd
 
parseFrom(byte[]) - Static method in class hex.genmodel.algos.deepwater.caffe.nano.Deepwater.Saved
 
parseFrom(CodedInputByteBufferNano) - Static method in class hex.genmodel.algos.deepwater.caffe.nano.Deepwater.Saved
 
parseModelJson(MojoReaderBackend) - Static method in class hex.genmodel.descriptor.JsonModelDescriptorReader
 
ParseUtils - Class in hex.genmodel.utils
Helper function for parsing the serialized model.
ParseUtils() - Constructor for class hex.genmodel.utils.ParseUtils
 
path - Variable in class hex.genmodel.algos.deepwater.caffe.nano.Deepwater.Cmd
 
position() - Method in class hex.genmodel.utils.ByteBufferWrapper
 
postInit() - Method in class hex.genmodel.algos.tree.SharedTreeMojoModel
 
pow(double, HashMap<String, String[]>) - Static method in class hex.genmodel.GenMunger
 
preamble(ModelCategory, RowData) - Method in class hex.genmodel.easy.EasyPredictModelWrapper
 
preamble(ModelCategory, RowData, double) - Method in class hex.genmodel.easy.EasyPredictModelWrapper
 
pred(String) - Method in class water.util.H2OPredictor
 
predict(BackendModel, float[]) - Method in class hex.genmodel.algos.deepwater.caffe.DeepwaterCaffeBackend
 
predict(float[]) - Method in class hex.genmodel.algos.deepwater.caffe.DeepwaterCaffeModel
 
Predict - Static variable in interface hex.genmodel.algos.deepwater.caffe.nano.Deepwater
 
predict(RowData, ModelCategory) - Method in class hex.genmodel.easy.EasyPredictModelWrapper
Make a prediction on a new data point.
predict(RowData) - Method in class hex.genmodel.easy.EasyPredictModelWrapper
 
predict(RowData, double, double[]) - Method in class hex.genmodel.easy.EasyPredictModelWrapper
 
predict2(String, String) - Static method in class water.util.H2OPredictor
 
predict3(String, String, String) - Static method in class water.util.H2OPredictor
 
predictAnomalyDetection(RowData) - Method in class hex.genmodel.easy.EasyPredictModelWrapper
Make a prediction on a new data point using a Binomial model.
predictAutoEncoder(RowData) - Method in class hex.genmodel.easy.EasyPredictModelWrapper
Make a prediction on a new data point using an AutoEncoder model.
predictBinomial(RowData) - Method in class hex.genmodel.easy.EasyPredictModelWrapper
Make a prediction on a new data point using a Binomial model.
predictBinomial(RowData, double) - Method in class hex.genmodel.easy.EasyPredictModelWrapper
Make a prediction on a new data point using a Binomial model.
predictClustering(RowData) - Method in class hex.genmodel.easy.EasyPredictModelWrapper
Make a prediction on a new data point using a Clustering model.
PredictContributions - Interface in hex.genmodel
 
PredictContributionsFactory - Interface in hex.genmodel
MOJO Models that can calculate SHAP Values (contributions) should implement this interface
PredictCsv - Class in hex.genmodel.tools
Simple driver program for reading a CSV file and making predictions.
PredictCsv() - Constructor for class hex.genmodel.tools.PredictCsv
 
predictDimReduction(RowData) - Method in class hex.genmodel.easy.EasyPredictModelWrapper
Make a prediction on a new data point using a Dimension Reduction model (PCA, GLRM)
PredictException - Exception in hex.genmodel.easy.exception
All generated model exceptions that can occur on the various predict methods derive from this.
PredictException(String) - Constructor for exception hex.genmodel.easy.exception.PredictException
 
predictMultinomial(RowData) - Method in class hex.genmodel.easy.EasyPredictModelWrapper
Make a prediction on a new data point using a Multinomial model.
predictMultinomial(RowData, double) - Method in class hex.genmodel.easy.EasyPredictModelWrapper
Make a prediction on a new data point using a Multinomial model.
PredictNumberFormatException - Exception in hex.genmodel.easy.exception
Unknown type exception.
PredictNumberFormatException(String) - Constructor for exception hex.genmodel.easy.exception.PredictNumberFormatException
 
predictOrdinal(RowData) - Method in class hex.genmodel.easy.EasyPredictModelWrapper
Make a prediction on a new data point using a Ordinal model.
predictOrdinal(RowData, double) - Method in class hex.genmodel.easy.EasyPredictModelWrapper
Make a prediction on a new data point using a Ordinal model.
predictRegression(RowData) - Method in class hex.genmodel.easy.EasyPredictModelWrapper
Make a prediction on a new data point using a Regression model.
predictRegression(RowData, double) - Method in class hex.genmodel.easy.EasyPredictModelWrapper
Make a prediction on a new data point using a Regression model.
PredictUnknownCategoricalLevelException - Exception in hex.genmodel.easy.exception
Unknown categorical level exception.
PredictUnknownCategoricalLevelException(String, String, String) - Constructor for exception hex.genmodel.easy.exception.PredictUnknownCategoricalLevelException
 
PredictUnknownTypeException - Exception in hex.genmodel.easy.exception
Unknown type exception.
PredictUnknownTypeException(String) - Constructor for exception hex.genmodel.easy.exception.PredictUnknownTypeException
 
predictWord2Vec(RowData) - Method in class hex.genmodel.easy.EasyPredictModelWrapper
Lookup word embeddings for a given word (or set of words).
PredictWrongModelCategoryException - Exception in hex.genmodel.easy.exception
Wrong model category exception.
PredictWrongModelCategoryException(String) - Constructor for exception hex.genmodel.easy.exception.PredictWrongModelCategoryException
 
print() - Method in class hex.genmodel.algos.tree.SharedTreeGraph
Debug printout of graph structure.
print() - Method in class hex.genmodel.algos.tree.SharedTreeNode
 
print(PrintStream, String) - Method in class hex.genmodel.algos.tree.SharedTreeNode
 
printDot(PrintStream, int, boolean, String, PrintMojo.PrintTreeOptions) - Method in class hex.genmodel.algos.tree.SharedTreeGraph
Print graph output in a format readable by dot (graphviz).
PrintMojo - Class in hex.genmodel.tools
Print dot (graphviz) representation of one or more trees in a DRF or GBM model.
PrintMojo() - Constructor for class hex.genmodel.tools.PrintMojo
 
PrintMojo.PrintTreeOptions - Class in hex.genmodel.tools
 
PrintTreeOptions(boolean, int, int) - Constructor for class hex.genmodel.tools.PrintMojo.PrintTreeOptions
 
priorClassDist() - Method in interface hex.genmodel.ModelDescriptor
 
probability - Variable in class hex.genmodel.easy.prediction.SortedClassProbability
Prediction value for this class level.
project(double[], Random) - Method in enum hex.genmodel.algos.glrm.GlrmRegularizer
Project X,Y matrices into appropriate subspace so regularizer is finite.
projectVersion() - Method in interface hex.genmodel.ModelDescriptor
 

R

randomSeed - Variable in class hex.genmodel.algos.deepwater.caffe.nano.Deepwater.Cmd
 
rank(boolean, double[][]) - Static method in class hex.genmodel.algos.glrm.GlrmMojoModel
 
readblob(String) - Method in class hex.genmodel.ModelMojoReader
Retrieve binary data previously saved to the mojo file using `writeblob(key, blob)`.
readBytes(File) - Method in class hex.genmodel.algos.deepwater.caffe.DeepwaterCaffeBackend
 
readFrom(MojoReaderBackend) - Static method in class hex.genmodel.ModelMojoReader
De-serializes a MojoModel, creating an instance of MojoModel useful for scoring and model evaluation.
readFrom(MojoReaderBackend, boolean) - Static method in class hex.genmodel.ModelMojoReader
De-serializes a MojoModel, creating an instance of MojoModel useful for scoring and model evaluation.
readkv(String) - Method in class hex.genmodel.ModelMojoReader
Retrieve value from the model's kv store which was previously put there using `writekv(key, value)`.
readkv(String, T) - Method in class hex.genmodel.ModelMojoReader
Retrieves the value associated with a given key.
readModelData() - Method in class hex.genmodel.algos.deeplearning.DeeplearningMojoReader
 
readModelData() - Method in class hex.genmodel.algos.deepwater.DeepwaterMojoReader
 
readModelData() - Method in class hex.genmodel.algos.drf.DrfMojoReader
 
readModelData() - Method in class hex.genmodel.algos.gbm.GbmMojoReader
 
readModelData() - Method in class hex.genmodel.algos.glm.GlmMojoReader
 
readModelData() - Method in class hex.genmodel.algos.glrm.GlrmMojoReader
 
readModelData() - Method in class hex.genmodel.algos.isofor.IsolationForestMojoReader
 
readModelData() - Method in class hex.genmodel.algos.kmeans.KMeansMojoReader
 
readModelData() - Method in class hex.genmodel.algos.svm.SvmMojoReader
 
readModelData() - Method in class hex.genmodel.algos.tree.SharedTreeMojoReader
 
readModelData() - Method in class hex.genmodel.algos.word2vec.Word2VecMojoReader
 
readModelData() - Method in class hex.genmodel.ModelMojoReader
 
readModelData() - Method in class hex.genmodel.MultiModelMojoReader
 
readModelSpecificDescription(ModelDescriptorBuilder, JsonObject) - Method in class hex.genmodel.algos.tree.SharedTreeMojoReader
 
readModelSpecificDescription(ModelDescriptorBuilder, JsonObject) - Method in class hex.genmodel.ModelMojoReader
 
readParentModelData() - Method in class hex.genmodel.algos.ensemble.StackedEnsembleMojoReader
 
readParentModelData() - Method in class hex.genmodel.algos.pipeline.MojoPipelineReader
 
readParentModelData() - Method in class hex.genmodel.MultiModelMojoReader
 
readtext(String) - Method in class hex.genmodel.ModelMojoReader
Retrieve text previously saved using `startWritingTextFile` + `writeln` as an array of lines.
readtext(String, boolean) - Method in class hex.genmodel.ModelMojoReader
Retrieve text previously saved using `startWritingTextFile` + `writeln` as an array of lines.
reconstructed - Variable in class hex.genmodel.easy.prediction.AutoEncoderModelPrediction
Reconstructed data, the array has same length as the original input.
reconstructed - Variable in class hex.genmodel.easy.prediction.DimReductionModelPrediction
This field is only used for GLRM and not for PCA.
reconstructedRowData - Variable in class hex.genmodel.easy.prediction.AutoEncoderModelPrediction
Reconstructed data represented in RowData structure.
RectifierDropoutOut() - Constructor for class hex.genmodel.algos.deeplearning.ActivationUtils.RectifierDropoutOut
 
RectifierOut() - Constructor for class hex.genmodel.algos.deeplearning.ActivationUtils.RectifierOut
 
RegressionModelPrediction - Class in hex.genmodel.easy.prediction
Regression model prediction.
RegressionModelPrediction() - Constructor for class hex.genmodel.easy.prediction.RegressionModelPrediction
 
regularize(double[]) - Method in enum hex.genmodel.algos.glrm.GlrmRegularizer
Regularization function applied to a single row x_i or column y_j
regularize(double[][]) - Method in enum hex.genmodel.algos.glrm.GlrmRegularizer
Regularization applied to an entire matrix (sum over rows)
replaceall(String, HashMap<String, String[]>) - Static method in class hex.genmodel.GenMunger
 
rightChild - Variable in class hex.genmodel.algos.tree.SharedTreeNode
 
rootNode - Variable in class hex.genmodel.algos.tree.SharedTreeSubgraph
 
roundNPlace(float) - Method in class hex.genmodel.tools.PrintMojo.PrintTreeOptions
 
RowData - Class in hex.genmodel.easy
Column name to column value mapping for a new row (aka data point, observation, sample) to predict.
RowData() - Constructor for class hex.genmodel.easy.RowData
 
rows() - Method in class hex.genmodel.descriptor.Table
 
rproxgrad(double[], double, Random) - Method in enum hex.genmodel.algos.glrm.GlrmRegularizer
\prox_{\alpha_k*r}(u): Proximal gradient of (step size) * (regularization function) evaluated at vector u

S

sampleOOBRows(int, float, Random) - Static method in class water.util.ModelUtils
Sample out-of-bag rows with given rate with help of given sampler.
sampleOOBRows(int, float, Random, int[]) - Static method in class water.util.ModelUtils
Save - Static variable in interface hex.genmodel.algos.deepwater.caffe.nano.Deepwater
 
Saved() - Constructor for class hex.genmodel.algos.deepwater.caffe.nano.Deepwater.Saved
 
SaveGraph - Static variable in interface hex.genmodel.algos.deepwater.caffe.nano.Deepwater
 
saveModel(BackendModel, String) - Method in class hex.genmodel.algos.deepwater.caffe.DeepwaterCaffeBackend
 
saveModel(String) - Method in class hex.genmodel.algos.deepwater.caffe.DeepwaterCaffeModel
 
saveParam(BackendModel, String) - Method in class hex.genmodel.algos.deepwater.caffe.DeepwaterCaffeBackend
 
saveParam(String) - Method in class hex.genmodel.algos.deepwater.caffe.DeepwaterCaffeModel
 
scaleInPlace(double[], double[], double[]) - Static method in class hex.genmodel.GenMunger
 
score - Variable in class hex.genmodel.easy.prediction.AnomalyDetectionPrediction
 
score0(double[], double, double[]) - Method in class hex.genmodel.algos.deeplearning.DeeplearningMojoModel
This method will be derived from the scoring/prediction function of deeplearning model itself.
score0(double[], double[]) - Method in class hex.genmodel.algos.deeplearning.DeeplearningMojoModel
 
score0(double[], double, double[]) - Method in class hex.genmodel.algos.deepwater.DeepwaterMojoModel
Corresponds to `hex.DeepWater.score0()`
score0(double[], double[]) - Method in class hex.genmodel.algos.deepwater.DeepwaterMojoModel
 
score0(double[], double, double[]) - Method in class hex.genmodel.algos.drf.DrfMojoModel
Corresponds to `hex.tree.drf.DrfMojoModel.score0()`
score0(double[], double[]) - Method in class hex.genmodel.algos.drf.DrfMojoModel
 
score0(double[], double[]) - Method in class hex.genmodel.algos.ensemble.StackedEnsembleMojoModel
 
score0(double[], double, double[]) - Method in class hex.genmodel.algos.gbm.GbmMojoModel
Corresponds to `hex.tree.gbm.GbmMojoModel.score0()`
score0(double[], double[]) - Method in class hex.genmodel.algos.gbm.GbmMojoModel
 
score0(double[], double[], long) - Method in class hex.genmodel.algos.glrm.GlrmMojoModel
 
score0(double[], double[]) - Method in class hex.genmodel.algos.glrm.GlrmMojoModel
This function corresponds to the DimReduction model category
score0(double[], double[]) - Method in class hex.genmodel.algos.isofor.IsolationForestMojoModel
 
score0(double[], double, double[]) - Method in class hex.genmodel.algos.isofor.IsolationForestMojoModel
 
score0(double[], double[]) - Method in class hex.genmodel.algos.kmeans.KMeansMojoModel
 
score0(double[], double[]) - Method in class hex.genmodel.algos.pipeline.MojoPipeline
 
score0(double[], double[]) - Method in class hex.genmodel.algos.svm.SvmMojoModel
 
score0(double[], double[]) - Method in class hex.genmodel.algos.word2vec.Word2VecMojoModel
 
score0(double[], double[]) - Method in class hex.genmodel.GenModel
Subclasses implement the scoring logic.
score0(double[], double, double[]) - Method in class hex.genmodel.GenModel
 
score0(double[], double[]) - Method in interface hex.genmodel.IClusteringModel
 
scoreAllTrees(double[], double[]) - Method in class hex.genmodel.algos.tree.SharedTreeMojoModel
Score all trees and fill in the `preds` array.
scoreSingleTree(double[], int, double[]) - Method in class hex.genmodel.algos.tree.SharedTreeMojoModel
Generates a (per-class) prediction using only a single tree.
scoreStagedPredictions(double[], int) - Method in class hex.genmodel.algos.tree.SharedTreeMojoModel
Returns staged predictions of tree algorithms (prediction probabilities of trees per iteration).
ScoreTree - Interface in hex.genmodel.algos.tree
 
scoreTree(byte[], double[], boolean, String[][]) - Method in interface hex.genmodel.algos.tree.ScoreTree
 
scoreTree(byte[], double[], boolean, String[][]) - Method in class hex.genmodel.algos.tree.ScoreTree0
 
scoreTree(byte[], double[], boolean, String[][]) - Method in class hex.genmodel.algos.tree.ScoreTree1
 
scoreTree(byte[], double[], boolean, String[][]) - Method in class hex.genmodel.algos.tree.ScoreTree2
 
scoreTree(byte[], double[], int, boolean, String[][]) - Static method in class hex.genmodel.algos.tree.SharedTreeMojoModel
scoreTree(byte[], double[], boolean, String[][]) - Static method in class hex.genmodel.algos.tree.SharedTreeMojoModel
Highly efficient (critical path) tree scoring Given a tree (in the form of a byte array) and the row of input data, compute either this tree's predicted value when `computeLeafAssignment` is false, or the the decision path within the tree (but no more than 64 levels) when `computeLeafAssignment` is true.
scoreTree(double[]) - Method in class hex.genmodel.algos.tree.SharedTreeSubgraph
 
ScoreTree0 - Class in hex.genmodel.algos.tree
 
ScoreTree0() - Constructor for class hex.genmodel.algos.tree.ScoreTree0
 
scoreTree0(byte[], double[], int, boolean) - Static method in class hex.genmodel.algos.tree.SharedTreeMojoModel
scoreTree0(byte[], double[], boolean) - Static method in class hex.genmodel.algos.tree.SharedTreeMojoModel
SET IN STONE FOR MOJO VERSION "1.00" - DO NOT CHANGE
ScoreTree1 - Class in hex.genmodel.algos.tree
 
ScoreTree1() - Constructor for class hex.genmodel.algos.tree.ScoreTree1
 
scoreTree1(byte[], double[], int, boolean) - Static method in class hex.genmodel.algos.tree.SharedTreeMojoModel
scoreTree1(byte[], double[], boolean) - Static method in class hex.genmodel.algos.tree.SharedTreeMojoModel
SET IN STONE FOR MOJO VERSION "1.10" - DO NOT CHANGE
ScoreTree2 - Class in hex.genmodel.algos.tree
 
ScoreTree2() - Constructor for class hex.genmodel.algos.tree.ScoreTree2
 
scoreTreeRange(double[], int, int, double[]) - Method in class hex.genmodel.algos.tree.SharedTreeMojoModel
Generates (partial, per-class) predictions using only trees from a given range.
scoringDomains() - Method in interface hex.genmodel.ModelDescriptor
 
separator - Variable in class hex.genmodel.tools.PredictCsv
 
setCats(double[], double[], int[], int, int[], double[], double[], boolean) - Static method in class hex.genmodel.GenModel
 
setCats(double[], int[], int, int[], boolean) - Static method in class hex.genmodel.GenModel
 
setCol(int, String) - Method in class hex.genmodel.algos.tree.SharedTreeNode
 
setColName(String) - Method in class hex.genmodel.algos.tree.SharedTreeNode
 
setConvertInvalidNumbersToNa(boolean) - Method in class hex.genmodel.easy.EasyPredictModelWrapper.Config
Specify the default action when a string value cannot be converted to a number.
setConvertUnknownCategoricalLevelsToNa(boolean) - Method in class hex.genmodel.easy.EasyPredictModelWrapper.Config
Specify how to handle unknown categorical levels.
setDecimalPlace(int) - Method in class hex.genmodel.algos.tree.SharedTreeSubgraph
 
setDecimalPlaces - Variable in class hex.genmodel.algos.tree.SharedTreeSubgraph
 
setDomainValues(String[]) - Method in class hex.genmodel.algos.tree.SharedTreeNode
 
setEnableContributions(boolean) - Method in class hex.genmodel.easy.EasyPredictModelWrapper.Config
 
setEnableGLRMReconstrut(boolean) - Method in class hex.genmodel.easy.EasyPredictModelWrapper.Config
 
setEnableLeafAssignment(boolean) - Method in class hex.genmodel.easy.EasyPredictModelWrapper.Config
 
setEnableStagedProbabilities(boolean) - Method in class hex.genmodel.easy.EasyPredictModelWrapper.Config
 
setErrorConsumer(EasyPredictModelWrapper.ErrorConsumer) - Method in class hex.genmodel.easy.EasyPredictModelWrapper.Config
Specify an instance of EasyPredictModelWrapper.ErrorConsumer the EasyPredictModelWrapper is going to call whenever an error defined by the EasyPredictModelWrapper.ErrorConsumer instance occurs.
setFontSize(int) - Method in class hex.genmodel.algos.tree.SharedTreeSubgraph
 
setInclusiveNa(boolean) - Method in class hex.genmodel.algos.tree.SharedTreeNode
 
setInput(double[], float[], int, int, int[], double[], double[], boolean, boolean) - Static method in class hex.genmodel.GenModel
 
setInput(double[], double[], double[], int[], int, int, int[], double[], double[], boolean, boolean) - Static method in class hex.genmodel.GenModel
 
setInvNumNA - Variable in class hex.genmodel.tools.PredictCsv
 
setLeftward(boolean) - Method in class hex.genmodel.algos.tree.SharedTreeNode
 
setModel(GenModel) - Method in class hex.genmodel.easy.EasyPredictModelWrapper.Config
Specify model object to wrap.
setNodeNumber(int) - Method in class hex.genmodel.algos.tree.SharedTreeNode
 
setParameter(BackendModel, String, float) - Method in class hex.genmodel.algos.deepwater.caffe.DeepwaterCaffeBackend
 
setParameters(int) - Method in enum hex.genmodel.algos.glrm.GlrmLoss
Initialize additional parameters on the loss function.
setPredValue(float) - Method in class hex.genmodel.algos.tree.SharedTreeNode
 
setSplitValue(float) - Method in class hex.genmodel.algos.tree.SharedTreeNode
 
setSquaredError(float) - Method in class hex.genmodel.algos.tree.SharedTreeNode
 
setUseExtendedOutput(boolean) - Method in class hex.genmodel.easy.EasyPredictModelWrapper.Config
Specify whether to include additional metadata in the prediction output.
SharedTreeGraph - Class in hex.genmodel.algos.tree
Graph for representing a GBM or DRF forest.
SharedTreeGraph() - Constructor for class hex.genmodel.algos.tree.SharedTreeGraph
Make a new forest.
SharedTreeGraphConverter - Interface in hex.genmodel.algos.tree
Implementors of this interface are able to convert internal tree representation to a shared representation.
SharedTreeMojoModel - Class in hex.genmodel.algos.tree
Common ancestor for DrfMojoModel and GbmMojoModel.
SharedTreeMojoModel(String[], String[][], String) - Constructor for class hex.genmodel.algos.tree.SharedTreeMojoModel
 
SharedTreeMojoModel.DecisionPathTracker<T> - Interface in hex.genmodel.algos.tree
 
SharedTreeMojoModel.LeafDecisionPathTracker - Class in hex.genmodel.algos.tree
 
SharedTreeMojoModel.LeafNodeAssignments - Class in hex.genmodel.algos.tree
 
SharedTreeMojoModel.StringDecisionPathTracker - Class in hex.genmodel.algos.tree
 
SharedTreeMojoReader<M extends SharedTreeMojoModel> - Class in hex.genmodel.algos.tree
 
SharedTreeMojoReader() - Constructor for class hex.genmodel.algos.tree.SharedTreeMojoReader
 
SharedTreeNode - Class in hex.genmodel.algos.tree
Node in a tree.
SharedTreeSubgraph - Class in hex.genmodel.algos.tree
Subgraph for representing a tree.
sin(double, HashMap<String, String[]>) - Static method in class hex.genmodel.GenMunger
 
sizes - Variable in class hex.genmodel.algos.deepwater.caffe.nano.Deepwater.Cmd
 
skip(int) - Method in class hex.genmodel.utils.ByteBufferWrapper
Skip over some bytes in the byte buffer.
SoftmaxOut() - Constructor for class hex.genmodel.algos.deeplearning.ActivationUtils.SoftmaxOut
 
solver - Variable in class hex.genmodel.algos.deepwater.caffe.nano.Deepwater.Saved
 
solverType - Variable in class hex.genmodel.algos.deepwater.caffe.nano.Deepwater.Cmd
 
sort(int[], double[]) - Static method in class hex.genmodel.utils.ArrayUtils
Sort an integer array of indices based on values Updates indices in place, keeps values the same
sort(int[], double[], int) - Static method in class hex.genmodel.utils.ArrayUtils
 
sortByDescendingClassProbability(BinomialModelPrediction) - Method in class hex.genmodel.easy.EasyPredictModelWrapper
A helper function to return an array of binomial class probabilities for a prediction in sorted order.
SortedClassProbability - Class in hex.genmodel.easy.prediction
Class probability.
SortedClassProbability() - Constructor for class hex.genmodel.easy.prediction.SortedClassProbability
 
StackedEnsembleMojoModel - Class in hex.genmodel.algos.ensemble
 
StackedEnsembleMojoModel(String[], String[][], String) - Constructor for class hex.genmodel.algos.ensemble.StackedEnsembleMojoModel
 
StackedEnsembleMojoReader - Class in hex.genmodel.algos.ensemble
 
StackedEnsembleMojoReader() - Constructor for class hex.genmodel.algos.ensemble.StackedEnsembleMojoReader
 
stageProbabilities - Variable in class hex.genmodel.easy.prediction.AnomalyDetectionPrediction
Staged predictions of tree algorithms (prediction probabilities of trees per iteration).
stageProbabilities - Variable in class hex.genmodel.easy.prediction.BinomialModelPrediction
Staged predictions of tree algorithms (prediction probabilities of trees per iteration).
stageProbabilities - Variable in class hex.genmodel.easy.prediction.MultinomialModelPrediction
Staged predictions of tree algorithms (prediction probabilities of trees per iteration).
stageProbabilities - Variable in class hex.genmodel.easy.prediction.RegressionModelPrediction
Staged predictions of tree algorithms (prediction probabilities of trees per iteration).
startWritingTextFile(String) - Method in class hex.genmodel.AbstractMojoWriter
Write a text file to the MOJO archive (or rather open such file for writing).
Step(String[], String[], String[]) - Constructor for class hex.genmodel.GenMunger.Step
 
StringDecisionPathTracker() - Constructor for class hex.genmodel.algos.tree.SharedTreeMojoModel.StringDecisionPathTracker
 
StringEscapeUtils - Class in hex.genmodel.utils
 
StringEscapeUtils() - Constructor for class hex.genmodel.utils.StringEscapeUtils
 
strsplit(String, HashMap<String, String[]>) - Static method in class hex.genmodel.GenMunger
 
subgraphArray - Variable in class hex.genmodel.algos.tree.SharedTreeGraph
 
subgraphNumber - Variable in class hex.genmodel.algos.tree.SharedTreeSubgraph
 
Success - Static variable in interface hex.genmodel.algos.deepwater.caffe.nano.Deepwater
 
SvmMojoModel - Class in hex.genmodel.algos.svm
 
SvmMojoReader - Class in hex.genmodel.algos.svm
 
SvmMojoReader() - Constructor for class hex.genmodel.algos.svm.SvmMojoReader
 

T

Table - Class in hex.genmodel.descriptor
A two-dimensional table capable of containing generic values in each cell.
Table(String, String, String[], String[], Table.ColumnType[], String, Object[][]) - Constructor for class hex.genmodel.descriptor.Table
 
Table.ColumnType - Enum in hex.genmodel.descriptor
 
TanhDropoutOut() - Constructor for class hex.genmodel.algos.deeplearning.ActivationUtils.TanhDropoutOut
 
TanhOut() - Constructor for class hex.genmodel.algos.deeplearning.ActivationUtils.TanhOut
 
terminate() - Method in interface hex.genmodel.algos.tree.SharedTreeMojoModel.DecisionPathTracker
 
terminate() - Method in class hex.genmodel.algos.tree.SharedTreeMojoModel.LeafDecisionPathTracker
 
terminate() - Method in class hex.genmodel.algos.tree.SharedTreeMojoModel.StringDecisionPathTracker
 
timestamp() - Method in interface hex.genmodel.ModelDescriptor
 
TmpMojoReaderBackend - Class in hex.genmodel
 
TmpMojoReaderBackend(File) - Constructor for class hex.genmodel.TmpMojoReaderBackend
 
toJson(BackendModel) - Method in class hex.genmodel.algos.deepwater.caffe.DeepwaterCaffeBackend
 
tolower(String, HashMap<String, String[]>) - Static method in class hex.genmodel.GenMunger
 
toString() - Method in class hex.genmodel.algos.tree.SharedTreeSubgraph
 
toupper(String, HashMap<String, String[]>) - Static method in class hex.genmodel.GenMunger
 
train(BackendModel, float[], float[]) - Method in class hex.genmodel.algos.deepwater.caffe.DeepwaterCaffeBackend
 
train(float[], float[]) - Method in class hex.genmodel.algos.deepwater.caffe.DeepwaterCaffeModel
 
Train - Static variable in interface hex.genmodel.algos.deepwater.caffe.nano.Deepwater
 
transform(RowData) - Method in class hex.genmodel.GenMunger.Step
 
transform0(String, float[]) - Method in class hex.genmodel.algos.word2vec.Word2VecMojoModel
 
transform0(String, float[]) - Method in interface hex.genmodel.algos.word2vec.WordEmbeddingModel
Transforms a given a word into a word vector
treeName(int, int, String[]) - Static method in class hex.genmodel.algos.tree.SharedTreeMojoModel
 
TreeSHAP<R,N extends ai.h2o.algos.tree.INode<R>,S extends ai.h2o.algos.tree.INodeStat> - Class in hex.genmodel.algos.tree
 
TreeSHAP(N[], S[], int) - Constructor for class hex.genmodel.algos.tree.TreeSHAP
 
TreeSHAP.PathPointer - Class in hex.genmodel.algos.tree
 
TreeSHAPEnsemble<R> - Class in hex.genmodel.algos.tree
 
TreeSHAPEnsemble(Collection<TreeSHAPPredictor<R>>, float) - Constructor for class hex.genmodel.algos.tree.TreeSHAPEnsemble
 
TreeSHAPPredictor<R> - Interface in hex.genmodel.algos.tree
 
trim(String, HashMap<String, String[]>) - Static method in class hex.genmodel.GenMunger
 
tryParse(String, Object) - Static method in class hex.genmodel.utils.ParseUtils
 
type - Variable in class hex.genmodel.algos.deepwater.caffe.nano.Deepwater.Cmd
 
types - Variable in class hex.genmodel.algos.deepwater.caffe.nano.Deepwater.Cmd
 
types() - Method in class hex.genmodel.GenMunger.Step
 

U

unescapeNewlines(String) - Static method in class hex.genmodel.utils.StringEscapeUtils
Inverse function to escapeNewlines
unifyPreds(double[], double, double[]) - Method in class hex.genmodel.algos.drf.DrfMojoModel
 
unifyPreds(double[], double, double[]) - Method in class hex.genmodel.algos.gbm.GbmMojoModel
 
unifyPreds(double[], double, double[]) - Method in class hex.genmodel.algos.isofor.IsolationForestMojoModel
 
unifyPreds(double[], double, double[]) - Method in class hex.genmodel.algos.tree.SharedTreeMojoModel
Transforms tree predictions into the final model predictions.
unknownLevel - Variable in exception hex.genmodel.easy.exception.PredictUnknownCategoricalLevelException
 
unseenCategorical(String, Object, String) - Method in class hex.genmodel.easy.EasyPredictModelWrapper.ErrorConsumer
Previously unseen categorical level has been detected
unseenCategorical(String, Object, String) - Method in class hex.genmodel.easy.error.CountingErrorConsumer
 
unseenCategorical(String, Object, String) - Method in class hex.genmodel.easy.error.VoidErrorConsumer
 
useGpu - Variable in class hex.genmodel.algos.deepwater.caffe.nano.Deepwater.Cmd
 
uuid() - Method in interface hex.genmodel.ModelDescriptor
 

V

validateInputs(String, double, int, int, int, int) - Method in class hex.genmodel.algos.deeplearning.NeuralNetwork
 
value() - Method in enum hex.genmodel.algos.tree.NaSplitDir
 
value - Variable in class hex.genmodel.easy.prediction.RegressionModelPrediction
This value may be Double.NaN, which means NA (this will happen with GLM, for example, if one of the input values for a new data point is NA).
valueOf(String) - Static method in enum hex.genmodel.algos.glrm.GlrmInitialization
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum hex.genmodel.algos.glrm.GlrmLoss
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum hex.genmodel.algos.glrm.GlrmRegularizer
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum hex.genmodel.algos.tree.NaSplitDir
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum hex.genmodel.descriptor.Table.ColumnType
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum hex.genmodel.MojoReaderBackendFactory.CachingStrategy
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum hex.genmodel.utils.DistributionFamily
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum hex.ModelCategory
Returns the enum constant of this type with the specified name.
values() - Static method in enum hex.genmodel.algos.glrm.GlrmInitialization
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum hex.genmodel.algos.glrm.GlrmLoss
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum hex.genmodel.algos.glrm.GlrmRegularizer
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum hex.genmodel.algos.tree.NaSplitDir
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum hex.genmodel.descriptor.Table.ColumnType
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum hex.genmodel.MojoReaderBackendFactory.CachingStrategy
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum hex.genmodel.utils.DistributionFamily
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum hex.ModelCategory
Returns an array containing the constants of this enum type, in the order they are declared.
variableImportances(VariableImportances) - Method in class hex.genmodel.descriptor.ModelDescriptorBuilder
 
VariableImportances - Class in hex.genmodel.descriptor
Represents model's variables and their relative importances in the model.
VariableImportances(String[], double[]) - Constructor for class hex.genmodel.descriptor.VariableImportances
 
variableImportances() - Method in interface hex.genmodel.ModelDescriptor
 
VoidErrorConsumer - Class in hex.genmodel.easy.error
A void implementation of EasyPredictModelWrapper.ErrorConsumer.
VoidErrorConsumer() - Constructor for class hex.genmodel.easy.error.VoidErrorConsumer
 

W

walkNodes(int, String) - Method in class hex.genmodel.algos.tree.SharedTreeGraph
 
walkNodes(String) - Method in class hex.genmodel.algos.tree.SharedTreeSubgraph
 
water.genmodel - package water.genmodel
Deprecated (see hex.genmodel instead).
water.util - package water.util
Deprecated (see hex.util instead).
weightsColumn() - Method in interface hex.genmodel.ModelDescriptor
 
Word2VecMojoModel - Class in hex.genmodel.algos.word2vec
 
Word2VecMojoReader - Class in hex.genmodel.algos.word2vec
 
Word2VecMojoReader() - Constructor for class hex.genmodel.algos.word2vec.Word2VecMojoReader
 
Word2VecPrediction - Class in hex.genmodel.easy.prediction
 
Word2VecPrediction() - Constructor for class hex.genmodel.easy.prediction.Word2VecPrediction
 
WordEmbeddingModel - Interface in hex.genmodel.algos.word2vec
Interface for models implementing Word Embeddings
wordEmbeddings - Variable in class hex.genmodel.easy.prediction.Word2VecPrediction
 
writeblob(String, byte[]) - Method in class hex.genmodel.AbstractMojoWriter
Write a binary file to the MOJO archive.
writeBytes(File, byte[]) - Method in class hex.genmodel.algos.deepwater.caffe.DeepwaterCaffeBackend
 
writeExtraInfo() - Method in class hex.genmodel.AbstractMojoWriter
 
writekv(String, Object) - Method in class hex.genmodel.AbstractMojoWriter
Write a simple value to the model.ini/[info] section.
writekv(String, int[]) - Method in class hex.genmodel.AbstractMojoWriter
 
writekv(String, double[]) - Method in class hex.genmodel.AbstractMojoWriter
 
writekv(String, float[]) - Method in class hex.genmodel.AbstractMojoWriter
 
writeln(String, boolean) - Method in class hex.genmodel.AbstractMojoWriter
Write a single line of text to a previously opened text file, escape new line characters if enabled.
writeln(String) - Method in class hex.genmodel.AbstractMojoWriter
Write a single line of text to a previously opened text file.
writeModelData() - Method in class hex.genmodel.AbstractMojoWriter
Override in subclasses to write the actual model data.
writeModelData() - Method in class hex.genmodel.MojoPipelineWriter
 
writeTo(ZipOutputStream) - Method in class hex.genmodel.AbstractMojoWriter
 
writeTo(ZipOutputStream, String) - Method in class hex.genmodel.AbstractMojoWriter
 
writeTo(CodedOutputByteBufferNano) - Method in class hex.genmodel.algos.deepwater.caffe.nano.Deepwater.Cmd
 
writeTo(CodedOutputByteBufferNano) - Method in class hex.genmodel.algos.deepwater.caffe.nano.Deepwater.Saved
 

_

_accuracyEps - Variable in class hex.genmodel.algos.glrm.GlrmMojoModel
 
_activation - Variable in class hex.genmodel.algos.deeplearning.DeeplearningMojoModel
 
_activation - Variable in class hex.genmodel.algos.deeplearning.NeuralNetwork
 
_all_drop_out_ratios - Variable in class hex.genmodel.algos.deeplearning.DeeplearningMojoModel
 
_allActivations - Variable in class hex.genmodel.algos.deeplearning.DeeplearningMojoModel
 
_allAlphas - Variable in class hex.genmodel.algos.glrm.GlrmMojoModel
 
_archetypes - Variable in class hex.genmodel.algos.glrm.GlrmMojoModel
 
_archetypes_raw - Variable in class hex.genmodel.algos.glrm.GlrmMojoModel
 
_balanceClasses - Variable in class hex.genmodel.MojoModel
 
_binomial_double_trees - Variable in class hex.genmodel.algos.drf.DrfMojoModel
 
_calib_glm_beta - Variable in class hex.genmodel.algos.tree.SharedTreeMojoModel
GLM's beta used for calibrating output probabilities using Platt Scaling.
_category - Variable in class hex.genmodel.MojoModel
 
_catNAFill - Variable in class hex.genmodel.algos.deeplearning.DeeplearningMojoModel
 
_catoffsets - Variable in class hex.genmodel.algos.deeplearning.DeeplearningMojoModel
 
_catOffsets - Variable in class hex.genmodel.algos.deepwater.DeepwaterMojoModel
 
_catOffsets - Variable in class hex.genmodel.algos.glrm.GlrmMojoModel
 
_cats - Variable in class hex.genmodel.algos.deeplearning.DeeplearningMojoModel
 
_cats - Variable in class hex.genmodel.algos.deepwater.DeepwaterMojoModel
 
_catsA - Variable in class hex.genmodel.algos.deeplearning.DeeplearningMojoModel
 
_channels - Variable in class hex.genmodel.algos.deepwater.DeepwaterMojoModel
 
_columnName - Variable in class hex.genmodel.MojoPipelineBuilder.MappingSpec
 
_compressed_trees - Variable in class hex.genmodel.algos.tree.SharedTreeMojoModel
Array of binary tree data, each tree being a byte[] array.
_compressed_trees_aux - Variable in class hex.genmodel.algos.tree.SharedTreeMojoModel
Array of auxiliary binary tree data, each being a byte[] array.
_computeGraph(int) - Method in class hex.genmodel.algos.tree.SharedTreeMojoModel
Compute a graph of the forest.
_defaultThreshold - Variable in class hex.genmodel.MojoModel
 
_domains - Variable in class hex.genmodel.GenModel
Categorical (factor/enum) mappings, per column.
_family - Variable in class hex.genmodel.algos.deeplearning.DeeplearningMojoModel
 
_family - Variable in class hex.genmodel.algos.gbm.GbmMojoModel
 
_fontSize - Variable in class hex.genmodel.tools.PrintMojo.PrintTreeOptions
 
_gammax - Variable in class hex.genmodel.algos.glrm.GlrmMojoModel
 
_h2oVersion - Variable in class hex.genmodel.MojoModel
 
_height - Variable in class hex.genmodel.algos.deepwater.DeepwaterMojoModel
 
_importances - Variable in class hex.genmodel.descriptor.VariableImportances
 
_imputeMeans - Variable in class hex.genmodel.algos.deeplearning.DeeplearningMojoModel
 
_init - Variable in class hex.genmodel.algos.glrm.GlrmMojoModel
 
_init_f - Variable in class hex.genmodel.algos.gbm.GbmMojoModel
 
_inputs - Variable in class hex.genmodel.algos.deeplearning.NeuralNetwork
 
_inSize - Variable in class hex.genmodel.algos.deeplearning.NeuralNetwork
 
_iterNumber - Variable in class hex.genmodel.algos.glrm.GlrmMojoModel
 
_losses - Variable in class hex.genmodel.algos.glrm.GlrmMojoModel
 
_maxK - Variable in class hex.genmodel.algos.deeplearning.NeuralNetwork
 
_meanImageData - Variable in class hex.genmodel.algos.deepwater.DeepwaterMojoModel
 
_mini_batch_size - Variable in class hex.genmodel.algos.deeplearning.DeeplearningMojoModel
 
_mini_batch_size - Variable in class hex.genmodel.algos.deepwater.DeepwaterMojoModel
 
_model - Variable in class hex.genmodel.ModelMojoReader
 
_modelAlias - Variable in class hex.genmodel.MojoPipelineBuilder.MappingSpec
 
_modelClassDistrib - Variable in class hex.genmodel.MojoModel
 
_modelDescriptor - Variable in class hex.genmodel.MojoModel
 
_mojo_version - Variable in class hex.genmodel.MojoModel
 
_names - Variable in class hex.genmodel.GenModel
Column names; last is response for supervised models
_ncats - Variable in class hex.genmodel.algos.glrm.GlrmMojoModel
 
_nclasses - Variable in class hex.genmodel.MojoModel
 
_ncolA - Variable in class hex.genmodel.algos.glrm.GlrmMojoModel
 
_ncolX - Variable in class hex.genmodel.algos.glrm.GlrmMojoModel
 
_ncolY - Variable in class hex.genmodel.algos.glrm.GlrmMojoModel
 
_nfeatures - Variable in class hex.genmodel.MojoModel
 
_nnums - Variable in class hex.genmodel.algos.glrm.GlrmMojoModel
 
_nodeIds - Variable in class hex.genmodel.algos.tree.SharedTreeMojoModel.LeafNodeAssignments
 
_normmul - Variable in class hex.genmodel.algos.deeplearning.DeeplearningMojoModel
 
_normMul - Variable in class hex.genmodel.algos.deepwater.DeepwaterMojoModel
 
_normMul - Variable in class hex.genmodel.algos.glrm.GlrmMojoModel
 
_normrespmul - Variable in class hex.genmodel.algos.deeplearning.DeeplearningMojoModel
 
_normRespMul - Variable in class hex.genmodel.algos.deepwater.DeepwaterMojoModel
 
_normrespsub - Variable in class hex.genmodel.algos.deeplearning.DeeplearningMojoModel
 
_normRespSub - Variable in class hex.genmodel.algos.deepwater.DeepwaterMojoModel
 
_normsub - Variable in class hex.genmodel.algos.deeplearning.DeeplearningMojoModel
 
_normSub - Variable in class hex.genmodel.algos.deepwater.DeepwaterMojoModel
 
_normSub - Variable in class hex.genmodel.algos.glrm.GlrmMojoModel
 
_nPlaces - Variable in class hex.genmodel.tools.PrintMojo.PrintTreeOptions
 
_nrowY - Variable in class hex.genmodel.algos.glrm.GlrmMojoModel
 
_ntree_groups - Variable in class hex.genmodel.algos.tree.SharedTreeMojoModel
_ntree_groups is the number of trees requested by the user.
_ntrees_per_group - Variable in class hex.genmodel.algos.tree.SharedTreeMojoModel
 
_numAlphaFactors - Variable in class hex.genmodel.algos.glrm.GlrmMojoModel
 
_numLayers - Variable in class hex.genmodel.algos.deeplearning.DeeplearningMojoModel
 
_numLevels - Variable in class hex.genmodel.algos.glrm.GlrmMojoModel
 
_nums - Variable in class hex.genmodel.algos.deeplearning.DeeplearningMojoModel
 
_nums - Variable in class hex.genmodel.algos.deepwater.DeepwaterMojoModel
 
_numsA - Variable in class hex.genmodel.algos.deeplearning.DeeplearningMojoModel
 
_offsetColumn - Variable in class hex.genmodel.GenModel
Name of the column with offsets (used for certain types of models).
_outputs - Variable in class hex.genmodel.algos.deeplearning.NeuralNetwork
 
_outSize - Variable in class hex.genmodel.algos.deeplearning.NeuralNetwork
 
_params - Variable in class hex.genmodel.GenMunger.Step
 
_paths - Variable in class hex.genmodel.algos.tree.SharedTreeMojoModel.LeafNodeAssignments
 
_permutation - Variable in class hex.genmodel.algos.glrm.GlrmMojoModel
 
_predsIndex - Variable in class hex.genmodel.MojoPipelineBuilder.MappingSpec
 
_priorClassDistrib - Variable in class hex.genmodel.MojoModel
 
_problem_type - Variable in class hex.genmodel.algos.deepwater.DeepwaterMojoModel
 
_rcnt - Variable in class hex.genmodel.algos.glrm.GlrmMojoModel
 
_reader - Variable in class hex.genmodel.ModelMojoReader
 
_regx - Variable in class hex.genmodel.algos.glrm.GlrmMojoModel
 
_responseColumn - Variable in class hex.genmodel.GenModel
Name of the response column used for training (only for supervised models).
_reverse_transform - Variable in class hex.genmodel.algos.glrm.GlrmMojoModel
 
_seed - Variable in class hex.genmodel.algos.glrm.GlrmMojoModel
 
_setDecimalPlace - Variable in class hex.genmodel.tools.PrintMojo.PrintTreeOptions
 
_steps - Variable in class hex.genmodel.GenMunger
 
_supervised - Variable in class hex.genmodel.MojoModel
 
_transposed - Variable in class hex.genmodel.algos.glrm.GlrmMojoModel
 
_units - Variable in class hex.genmodel.algos.deeplearning.DeeplearningMojoModel
 
_use_all_factor_levels - Variable in class hex.genmodel.algos.deeplearning.DeeplearningMojoModel
 
_useAllFactorLevels - Variable in class hex.genmodel.algos.deepwater.DeepwaterMojoModel
 
_uuid - Variable in class hex.genmodel.MojoModel
 
_variable_importances - Variable in class hex.genmodel.algos.tree.SharedTreeMojoModel
 
_variables - Variable in class hex.genmodel.descriptor.VariableImportances
 
_weightsAndBias - Variable in class hex.genmodel.algos.deeplearning.DeeplearningMojoModel
 
_weightsAndBias - Variable in class hex.genmodel.algos.deeplearning.NeuralNetwork
 
_width - Variable in class hex.genmodel.algos.deepwater.DeepwaterMojoModel
 
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