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A

AbstractBuildVersion - Class in water.genmodel
 
AbstractBuildVersion() - Constructor for class water.genmodel.AbstractBuildVersion
 
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
 
ABV - Static variable in class hex.genmodel.tools.PrintMojo
 
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
 
actual_value - Variable in class hex.genmodel.attributes.parameters.ModelParameter
 
add(int, double[]) - Method in class hex.genmodel.algos.targetencoder.EncodingMap
 
add(double, HashMap<String, String[]>) - Static method in class hex.genmodel.GenMunger
 
addCoeffs(double[], double[]) - Static method in class hex.genmodel.algos.gam.GamUtilsISplines
Perform summation of coefficients from the left and rite splines with lower order.
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.descriptor.ModelDescriptor
 
algoFullName() - Method in class hex.genmodel.descriptor.ModelDescriptorBuilder.MojoModelDescriptor
 
algoFullName() - Method in class hex.genmodel.descriptor.ModelDescriptorBuilder.PojoModelDescriptor
 
algoName() - Method in interface hex.genmodel.descriptor.ModelDescriptor
 
algoName() - Method in class hex.genmodel.descriptor.ModelDescriptorBuilder.MojoModelDescriptor
 
algoName() - Method in class hex.genmodel.descriptor.ModelDescriptorBuilder.PojoModelDescriptor
 
and(double, HashMap<String, String[]>) - Static method in class hex.genmodel.GenMunger
 
AnomalyDetectionPrediction - Class in hex.genmodel.easy.prediction
 
AnomalyDetectionPrediction() - Constructor for class hex.genmodel.easy.prediction.AnomalyDetectionPrediction
 
AnomalyDetectionPrediction(double[]) - Constructor for class hex.genmodel.easy.prediction.AnomalyDetectionPrediction
 
anomalyScore(double, long) - Static method in class hex.genmodel.algos.isoforextended.ExtendedIsolationForestMojoModel
Anomaly score computation comes from Equation 1 in paper
append(String[], String...) - Static method in class hex.genmodel.utils.ArrayUtils
 
append(String[][], String[]...) - Static method in class hex.genmodel.utils.ArrayUtils
 
append(int[], int...) - Static method in class hex.genmodel.utils.ArrayUtils
 
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
 
arrayInitRange(int, int) - Static method in class hex.genmodel.utils.ArrayUtils
 
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
 
averagePathLengthOfUnsuccessfulSearch(long) - Static method in class hex.genmodel.algos.isoforextended.ExtendedIsolationForestMojoModel
Gives the average path length of unsuccessful search in BST.

B

balanceClasses() - Method in interface hex.genmodel.descriptor.ModelDescriptor
 
balanceClasses() - Method in class hex.genmodel.descriptor.ModelDescriptorBuilder.MojoModelDescriptor
 
balanceClasses() - Method in class hex.genmodel.descriptor.ModelDescriptorBuilder.PojoModelDescriptor
 
BinaryColumnMapper - Class in hex.genmodel.easy
 
BinaryColumnMapper(GenModel) - Constructor for class hex.genmodel.easy.BinaryColumnMapper
 
BinaryDomainMapConstructor - Class in hex.genmodel.easy
 
BinaryDomainMapConstructor(GenModel, Map<String, Integer>) - Constructor for class hex.genmodel.easy.BinaryDomainMapConstructor
 
BinaryEncoder - Class in hex.genmodel.easy
 
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
 
branchName() - Method in class water.genmodel.AbstractBuildVersion
 
branchName() - Method in class water.genmodel.BuildVersion
 
BSplineBasis(int, int, double[]) - Constructor for class hex.genmodel.algos.gam.NBSplinesTypeII.BSplineBasis
 
buildNumber() - Method in class water.genmodel.AbstractBuildVersion
 
buildPipeline(File) - Method in class hex.genmodel.MojoPipelineBuilder
 
BuildPipeline - Class in hex.genmodel.tools
 
BuildPipeline() - Constructor for class hex.genmodel.tools.BuildPipeline
 
BuildVersion - Class in water.genmodel
 
BuildVersion() - Constructor for class water.genmodel.BuildVersion
 
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

calculateContributions(double[]) - Method in class hex.genmodel.algos.tree.ContributionsPredictor
 
calculateContributions(double[], int, int, boolean) - Method in class hex.genmodel.algos.tree.ContributionsPredictor
 
calculateContributions(R, float[]) - Method in class hex.genmodel.algos.tree.TreeSHAP
 
calculateContributions(R, float[], int, int, TreeSHAPPredictor.Workspace) - Method in class hex.genmodel.algos.tree.TreeSHAP
 
calculateContributions(R, float[]) - Method in class hex.genmodel.algos.tree.TreeSHAPEnsemble
 
calculateContributions(R, float[], int, int, TreeSHAPPredictor.Workspace) - Method in class hex.genmodel.algos.tree.TreeSHAPEnsemble
 
calculateContributions(R, float[]) - Method in interface hex.genmodel.algos.tree.TreeSHAPPredictor
 
calculateContributions(R, float[], int, int, TreeSHAPPredictor.Workspace) - 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.
calculateContributions(double[], int, int, boolean) - Method in interface hex.genmodel.PredictContributions
 
calculateDistance(double[], double[], int, double[][], int, int, boolean, double, double[], boolean) - Static method in class hex.genmodel.algos.gam.GamUtilsThinPlateRegression
 
calculateInterventionalContributions(R, R, double[], int[], boolean) - Method in class hex.genmodel.algos.tree.TreeSHAP
 
calculateInterventionalContributions(R, R, double[], int[], boolean) - Method in class hex.genmodel.algos.tree.TreeSHAPEnsemble
 
calculateInterventionalContributions(R, R, double[], int[], boolean) - Method in interface hex.genmodel.algos.tree.TreeSHAPPredictor
 
calculatePolynomialBasis(double[], double[], int, int, int[][], double[], double[], boolean) - Static method in class hex.genmodel.algos.gam.GamUtilsThinPlateRegression
 
calculateReconstructionErrorPerRowData(double[], double[]) - Method in class hex.genmodel.algos.deeplearning.DeeplearningMojoModel
Calculates average reconstruction error (MSE).
calibrateClassProbabilities(CalibrationMojoHelper.MojoModelWithCalibration, double[]) - Static method in class hex.genmodel.algos.tree.CalibrationMojoHelper
 
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 or Isotonic Regression.
calibrateP1(double) - Method in class hex.genmodel.algos.isotonic.IsotonicCalibrator
 
CalibrationMojoHelper - Class in hex.genmodel.algos.tree
 
CalibrationMojoHelper() - Constructor for class hex.genmodel.algos.tree.CalibrationMojoHelper
 
CalibrationMojoHelper.MojoModelWithCalibration - Interface in hex.genmodel.algos.tree
 
calTPConstantTerm(int, int, boolean) - Static method in class hex.genmodel.algos.gam.GamUtilsThinPlateRegression
 
CategoricalEncoder - Interface in hex.genmodel.easy
 
CategoricalEncoding - Enum in hex.genmodel
 
checkAndAdjustInput(int, int) - Method in class hex.genmodel.algos.tree.ContributionComposer
 
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.
clip(double, double, double) - Static method in class hex.genmodel.algos.isotonic.IsotonicRegressionUtils
 
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.
cluster - Variable in class hex.genmodel.easy.prediction.KLimeModelPrediction
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
 
columnName - Variable in class hex.genmodel.attributes.parameters.FeatureContribution
 
columnName - Variable in exception hex.genmodel.easy.exception.PredictUnknownCategoricalLevelException
 
columnNames() - Method in interface hex.genmodel.descriptor.ModelDescriptor
 
columnNames() - Method in class hex.genmodel.descriptor.ModelDescriptorBuilder.MojoModelDescriptor
 
columnNames() - Method in class hex.genmodel.descriptor.ModelDescriptorBuilder.PojoModelDescriptor
 
columns() - Method in class hex.genmodel.attributes.Table
 
ColumnsMapping - Class in hex.genmodel.algos.targetencoder
 
ColumnsMapping(String[], String[]) - Constructor for class hex.genmodel.algos.targetencoder.ColumnsMapping
 
ColumnSpecifier - Class in hex.genmodel.attributes.parameters
 
ColumnSpecifier(String, String[]) - Constructor for class hex.genmodel.attributes.parameters.ColumnSpecifier
 
combinatorial(int, int) - Static method in class hex.genmodel.utils.MathUtils
 
combineParentCoef(double[], double, double[][]) - Static method in class hex.genmodel.algos.gam.GamUtilsISplines
Extract coefficients for a node as in equation 5, 11 or 16 by combining the constants, additional polynomials with polynomials from nodes of lower orders.
compare(String, String) - Method in class water.util.comparison.string.ExactComparator
 
compare(String, String) - Method in class water.util.comparison.string.H2OJaroWinklerComparator
 
compare(String, String) - Method in class water.util.comparison.string.JaccardIndexComparator
 
compare(String, String) - Method in class water.util.comparison.string.LevenshteinDistanceComparator
 
compare(String, String) - Method in class water.util.comparison.string.LongestCommonSubstring
 
compare(String, String) - Method in class water.util.comparison.string.QGramComparator
 
compare(String, String) - Method in class water.util.comparison.string.SoundexComparator
 
compare(String, String) - Method in interface water.util.comparison.string.StringComparator
 
compareTo(Object) - Method in class hex.genmodel.easy.prediction.SortedClassProbability
Comparison implementation for this object type.
compiledBy() - Method in class water.genmodel.AbstractBuildVersion
 
compiledBy() - Method in class water.genmodel.BuildVersion
 
compiledOn() - Method in class water.genmodel.AbstractBuildVersion
 
compiledOn() - Method in class water.genmodel.BuildVersion
 
composeContributions(int[], float[], int, int, boolean) - Method in class hex.genmodel.algos.tree.ContributionComposer
Sort #contribNameIds according to #contribs values and compose desired output with correct #topN, #bottomN fields
compute(int, int, int) - Method in enum water.util.comparison.string.LongestCommonSubstring.Formula
 
compute(int, Set<String>, Set<String>) - Method in enum water.util.comparison.string.QGramComparator.Formula
 
computeBlendedEncoding(double, double, double) - Static method in class hex.genmodel.algos.targetencoder.TargetEncoderMojoModel
 
computeGraph(int, ConvertTreeOptions) - Method in class hex.genmodel.algos.tree.SharedTreeMojoModel
Compute a graph of the forest.
computeGraph(int) - Method in class hex.genmodel.algos.tree.SharedTreeMojoModel
 
computeLambda(long, double, double) - Static method in class hex.genmodel.algos.targetencoder.TargetEncoderMojoModel
 
computeTreeGraph(int, String, byte[], byte[], String[], String[][]) - Static method in class hex.genmodel.algos.tree.SharedTreeMojoModel
 
computeTreeGraph(int, String, byte[], byte[], String[], String[][], ConvertTreeOptions) - Static method in class hex.genmodel.algos.tree.SharedTreeMojoModel
 
Config() - Constructor for class hex.genmodel.easy.EasyPredictModelWrapper.Config
 
Config() - Constructor for class hex.genmodel.easy.error.CountingErrorConsumer.Config
 
contains(int) - Method in class hex.genmodel.utils.GenmodelBitSet
 
contains0(int) - Method in class hex.genmodel.utils.GenmodelBitSet
 
ContributionComposer - Class in hex.genmodel.algos.tree
 
ContributionComposer() - Constructor for class hex.genmodel.algos.tree.ContributionComposer
 
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).
ContributionsPredictor<E> - Class in hex.genmodel.algos.tree
 
ContributionsPredictor(int, String[], TreeSHAPPredictor<E>) - Constructor for class hex.genmodel.algos.tree.ContributionsPredictor
 
convert(RowData, double[]) - Method in class hex.genmodel.algos.gam.GamRowToRawDataConverter
 
convert(int, String, ConvertTreeOptions) - Method in interface hex.genmodel.algos.tree.SharedTreeGraphConverter
Converts internal tree representation to a shared representation.
convert(int, String) - Method in interface hex.genmodel.algos.tree.SharedTreeGraphConverter
 
convert(int, String) - Method in class hex.genmodel.algos.tree.SharedTreeMojoModel
 
convert(int, String, ConvertTreeOptions) - Method in class hex.genmodel.algos.tree.SharedTreeMojoModel
 
convert(RowData, double[]) - Method in class hex.genmodel.easy.RowToRawDataConverter
 
convertDouble2Float(double[]) - Static method in class hex.genmodel.GenModel
 
ConverterFactoryProvidingModel - Interface in hex.genmodel
 
ConvertTreeOptions - Class in hex.genmodel.algos.tree
 
ConvertTreeOptions() - Constructor for class hex.genmodel.algos.tree.ConvertTreeOptions
 
convertValue(String, Object, CategoricalEncoder, int, double[]) - Method in class hex.genmodel.easy.RowToRawDataConverter
 
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
 
CountingErrorConsumer(GenModel, CountingErrorConsumer.Config) - Constructor for class hex.genmodel.easy.error.CountingErrorConsumer
 
CountingErrorConsumer.Config - Class in hex.genmodel.easy.error
 
countmatches(String, HashMap<String, String[]>) - Static method in class hex.genmodel.GenMunger
 
CoxPHModelPrediction - Class in hex.genmodel.easy.prediction
CoxPH model prediction.
CoxPHModelPrediction() - Constructor for class hex.genmodel.easy.prediction.CoxPHModelPrediction
 
CoxPHMojoModel - Class in hex.genmodel.algos.coxph
 
CoxPHMojoReader - Class in hex.genmodel.algos.coxph
 
CoxPHMojoReader() - Constructor for class hex.genmodel.algos.coxph.CoxPHMojoReader
 
create() - Method in class hex.genmodel.easy.BinaryColumnMapper
 
create() - Method in class hex.genmodel.easy.BinaryDomainMapConstructor
 
create() - Method in class hex.genmodel.easy.EigenEncoderColumnMapper
 
create() - Method in class hex.genmodel.easy.EigenEncoderDomainMapConstructor
 
create() - Method in class hex.genmodel.easy.EnumEncoderColumnMapper
 
create() - Method in class hex.genmodel.easy.EnumEncoderDomainMapConstructor
 
create() - Method in class hex.genmodel.easy.EnumLimitedEncoderDomainMapConstructor
 
create() - Method in class hex.genmodel.easy.LabelEncoderDomainMapConstructor
 
create() - Method in class hex.genmodel.easy.OneHotEncoderColumnMapper
 
create() - Method in class hex.genmodel.easy.OneHotEncoderDomainMapConstructor
 
createActFuns(String) - Method in class hex.genmodel.algos.deeplearning.NeuralNetwork
 
createAuxKey(String) - Static method in class hex.genmodel.GenModel
 
createCategoricalEncoders(GenModel, Map<String, Integer>) - Method in enum hex.genmodel.CategoricalEncoding
 
createColumnMapping(GenModel) - Method in enum hex.genmodel.CategoricalEncoding
 
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
 
CS_SPLINE_TYPE - Static variable in class hex.genmodel.algos.gam.GamMojoModel
 
cut(double, HashMap<String, String[]>) - Static method in class hex.genmodel.GenMunger
 

D

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
 
DeepLearningModelAttributes - Class in hex.genmodel.attributes
 
DeepLearningModelAttributes(MojoModel, JsonObject) - Constructor for class hex.genmodel.attributes.DeepLearningModelAttributes
 
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
 
default_value - Variable in class hex.genmodel.attributes.parameters.ModelParameter
 
defaultLinkFunction(DistributionFamily) - Static method in class hex.genmodel.ModelMojoReader
 
defaultThreshold() - Method in interface hex.genmodel.descriptor.ModelDescriptor
Default threshold for assigning class labels to the target class.
defaultThreshold() - Method in class hex.genmodel.descriptor.ModelDescriptorBuilder.MojoModelDescriptor
 
defaultThreshold() - Method in class hex.genmodel.descriptor.ModelDescriptorBuilder.PojoModelDescriptor
 
describe() - Method in class water.genmodel.AbstractBuildVersion
 
describe() - Method in class water.genmodel.BuildVersion
 
detail - Variable in class hex.genmodel.tools.PrintMojo
 
difference(double[]) - Static method in class hex.genmodel.utils.ArrayUtils
 
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
 
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
 

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.
EigenEncoder - Class in hex.genmodel.easy
 
EigenEncoder(String, int, String[], double[]) - Constructor for class hex.genmodel.easy.EigenEncoder
 
EigenEncoderColumnMapper - Class in hex.genmodel.easy
 
EigenEncoderColumnMapper(GenModel) - Constructor for class hex.genmodel.easy.EigenEncoderColumnMapper
 
EigenEncoderDomainMapConstructor - Class in hex.genmodel.easy
 
EigenEncoderDomainMapConstructor(GenModel, Map<String, Integer>) - Constructor for class hex.genmodel.easy.EigenEncoderDomainMapConstructor
 
eleDiff(double[]) - Static method in class hex.genmodel.utils.ArrayUtils
 
elementExists(JsonElement, String) - Static method in class hex.genmodel.attributes.ModelJsonReader
 
encodeCatValue(String, double[]) - Method in class hex.genmodel.easy.BinaryEncoder
 
encodeCatValue(String, double[]) - Method in interface hex.genmodel.easy.CategoricalEncoder
Encodes a given categorical level into a raw array onto the right position.
encodeCatValue(String, double[]) - Method in class hex.genmodel.easy.EigenEncoder
 
encodeCatValue(String, double[]) - Method in class hex.genmodel.easy.EnumEncoder
 
encodeCatValue(String, double[]) - Method in class hex.genmodel.easy.EnumLimitedEncoder
 
encodeCatValue(String, double[]) - Method in class hex.genmodel.easy.LabelEncoder
 
encodeCatValue(String, double[]) - Method in class hex.genmodel.easy.OneHotEncoder
 
encodeNA(double[]) - Method in class hex.genmodel.easy.BinaryEncoder
 
encodeNA(double[]) - Method in interface hex.genmodel.easy.CategoricalEncoder
Encode NA (missing level) into raw data.
encodeNA(double[]) - Method in class hex.genmodel.easy.EigenEncoder
 
encodeNA(double[]) - Method in class hex.genmodel.easy.EnumEncoder
 
encodeNA(double[]) - Method in class hex.genmodel.easy.EnumLimitedEncoder
 
encodeNA(double[]) - Method in class hex.genmodel.easy.LabelEncoder
 
encodeNA(double[]) - Method in class hex.genmodel.easy.OneHotEncoder
 
ENCODING_MAP_PATH - Static variable in class hex.genmodel.algos.targetencoder.TargetEncoderMojoReader
 
EncodingMap - Class in hex.genmodel.algos.targetencoder
 
EncodingMap(int) - Constructor for class hex.genmodel.algos.targetencoder.EncodingMap
 
encodingMap() - Method in class hex.genmodel.algos.targetencoder.EncodingMaps
 
EncodingMaps - Class in hex.genmodel.algos.targetencoder
 
EncodingMaps(Map<String, EncodingMap>) - Constructor for class hex.genmodel.algos.targetencoder.EncodingMaps
 
EncodingMaps() - Constructor for class hex.genmodel.algos.targetencoder.EncodingMaps
 
EnumEncoder - Class in hex.genmodel.easy
 
EnumEncoder(String, int, String[]) - Constructor for class hex.genmodel.easy.EnumEncoder
 
EnumEncoderColumnMapper - Class in hex.genmodel.easy
 
EnumEncoderColumnMapper(GenModel) - Constructor for class hex.genmodel.easy.EnumEncoderColumnMapper
 
EnumEncoderDomainMapConstructor - Class in hex.genmodel.easy
 
EnumEncoderDomainMapConstructor(GenModel, Map<String, Integer>) - Constructor for class hex.genmodel.easy.EnumEncoderDomainMapConstructor
 
EnumLimitedEncoder - Class in hex.genmodel.easy
 
EnumLimitedEncoderColumnMapper - Class in hex.genmodel.easy
 
EnumLimitedEncoderColumnMapper(GenModel) - Constructor for class hex.genmodel.easy.EnumLimitedEncoderColumnMapper
 
EnumLimitedEncoderDomainMapConstructor - Class in hex.genmodel.easy
 
EnumLimitedEncoderDomainMapConstructor(GenModel, Map<String, Integer>) - Constructor for class hex.genmodel.easy.EnumLimitedEncoderDomainMapConstructor
 
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
 
equals(Object) - Method in class hex.genmodel.attributes.parameters.StringPair
 
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
 
EULER_MASCHERONI_CONSTANT - Static variable in class hex.genmodel.utils.MathUtils
Euler–Mascheroni constant (also called Euler's constant)
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
 
evaluate(double, NBSplinesTypeI.MSplineBasis) - Static method in class hex.genmodel.algos.gam.NBSplinesTypeI.MSplineBasis
 
evaluate(double, NBSplinesTypeII.BSplineBasis) - Static method in class hex.genmodel.algos.gam.NBSplinesTypeII.BSplineBasis
 
ExactComparator - Class in water.util.comparison.string
 
ExactComparator() - Constructor for class water.util.comparison.string.ExactComparator
 
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 class hex.genmodel.algos.gbm.GbmMojoModel
Sanitized exponential function - helper function.
expandOneGamCol(double, double[][], double[], double[], double[]) - Static method in class hex.genmodel.algos.gam.GamUtilsCubicRegression
 
ExpRectifierDropoutOut() - Constructor for class hex.genmodel.algos.deeplearning.ActivationUtils.ExpRectifierDropoutOut
 
ExpRectifierOut() - Constructor for class hex.genmodel.algos.deeplearning.ActivationUtils.ExpRectifierOut
 
ExtendedIsolationForestMojoModel - Class in hex.genmodel.algos.isoforextended
 
ExtendedIsolationForestMojoModel(String[], String[][], String) - Constructor for class hex.genmodel.algos.isoforextended.ExtendedIsolationForestMojoModel
 
ExtendedIsolationForestMojoReader - Class in hex.genmodel.algos.isoforextended
 
ExtendedIsolationForestMojoReader() - Constructor for class hex.genmodel.algos.isoforextended.ExtendedIsolationForestMojoReader
 
extractCoeffs(NBSplinesTypeI, int, double) - Static method in class hex.genmodel.algos.gam.NBSplinesTypeI
extract coefficients of NBSplineType I in the process of generating penalty matrix in Section VI of doc.
extractFromJson(JsonObject) - Static method in class hex.genmodel.attributes.VariableImportances
 
extractKnots(int, int, double[]) - Static method in class hex.genmodel.algos.gam.GamUtilsISplines
This method is used to extract the knots over which a basis function is supposed to be non-zero.
extractNBSplineCoeffs(NBSplinesTypeI, int, double[], double, int) - Static method in class hex.genmodel.algos.gam.NBSplinesTypeI
Given root spline, this method will extract the coefficients of spline as described in Section VI in order to generate the penalty matrix using recursion.
extractType(String) - Static method in enum hex.genmodel.attributes.Table.ColumnType
 

F

factorial(int) - Static method in class hex.genmodel.algos.gam.GamUtilsThinPlateRegression
 
FeatureContribution - Class in hex.genmodel.attributes.parameters
 
FeatureContribution(String, double) - Constructor for class hex.genmodel.attributes.parameters.FeatureContribution
 
features() - Method in interface hex.genmodel.descriptor.ModelDescriptor
 
features() - Method in class hex.genmodel.descriptor.ModelDescriptorBuilder.MojoModelDescriptor
 
features() - Method in class hex.genmodel.descriptor.ModelDescriptorBuilder.PojoModelDescriptor
 
features() - Method in class hex.genmodel.GenModel
Returns names of input features.
features() - Method in interface hex.genmodel.IGenModel
Returns names of input features.
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
 
fillKnots(double[], int) - Static method in class hex.genmodel.algos.gam.GamUtilsISplines
 
fillObject(Object, JsonElement, String) - Static method in class hex.genmodel.attributes.ModelJsonReader
 
fillObjects(List<T>, JsonArray) - Static method in class hex.genmodel.attributes.ModelJsonReader
 
fillRawData(RowData, double[]) - Method in class hex.genmodel.easy.EasyPredictModelWrapper
 
findColumnIndex(String) - Method in class hex.genmodel.attributes.Table
 
findInJson(JsonElement, String) - Static method in class hex.genmodel.attributes.ModelJsonReader
Finds an element in GSON's JSON document representation
findMaxNodeId(byte[]) - Static method in class hex.genmodel.algos.tree.SharedTreeMojoModel
 
finishWritingTextFile() - Method in class hex.genmodel.AbstractMojoWriter
Finish writing a text file.
fit(RowData) - Method in class hex.genmodel.GenMunger
 
flat(double[][]) - Static method in class hex.genmodel.utils.ArrayUtils
 
floatToDouble - Variable in class hex.genmodel.tools.PrintMojo
 
foldColumn() - Method in interface hex.genmodel.descriptor.ModelDescriptor
 
foldColumn() - Method in class hex.genmodel.descriptor.ModelDescriptorBuilder.MojoModelDescriptor
 
foldColumn() - Method in class hex.genmodel.descriptor.ModelDescriptorBuilder.PojoModelDescriptor
 
fontSize - Variable in class hex.genmodel.algos.tree.SharedTreeSubgraph
 
format - Variable in class hex.genmodel.tools.PrintMojo
 
formBasisDeriv(double[], int, int, int) - Static method in class hex.genmodel.algos.gam.NBSplinesTypeI
Given an basis function index, order and knot sequence with duplication over the input range of interest, we build the whole binary tree for NBSplineType I for Mi,k(t) down to the lowest level with splines of order 1 as in Mi,1(t).
formNNInputs() - Method in class hex.genmodel.algos.deeplearning.NeuralNetwork
 
formNNInputsMaxOut() - Method in class hex.genmodel.algos.deeplearning.NeuralNetwork
 
forStrptimePattern(String) - Static method in class water.util.ParseTime
Factory to create a formatter from a strptime pattern string.
fprop1Layer() - Method in class hex.genmodel.algos.deeplearning.NeuralNetwork
 
from() - Method in class hex.genmodel.algos.targetencoder.ColumnsMapping
 

G

gamify(double[], double) - Method in class hex.genmodel.algos.gam.NBSplinesTypeII
 
gamifyVal(double[], double) - Method in class hex.genmodel.algos.gam.ISplines
 
gamifyVal(double[], double) - Method in class hex.genmodel.algos.gam.MSplines
 
GamMojoModel - Class in hex.genmodel.algos.gam
 
GamMojoModelBase - Class in hex.genmodel.algos.gam
 
GamMojoMultinomialModel - Class in hex.genmodel.algos.gam
 
GamMojoReader - Class in hex.genmodel.algos.gam
 
GamMojoReader() - Constructor for class hex.genmodel.algos.gam.GamMojoReader
 
GamRowToRawDataConverter - Class in hex.genmodel.algos.gam
 
GamRowToRawDataConverter(GenModel, Map<String, Integer>, Map<Integer, CategoricalEncoder>, EasyPredictModelWrapper.ErrorConsumer, EasyPredictModelWrapper.Config) - Constructor for class hex.genmodel.algos.gam.GamRowToRawDataConverter
 
GamUtilsCubicRegression - Class in hex.genmodel.algos.gam
 
GamUtilsCubicRegression() - Constructor for class hex.genmodel.algos.gam.GamUtilsCubicRegression
 
GamUtilsISplines - Class in hex.genmodel.algos.gam
 
GamUtilsISplines() - Constructor for class hex.genmodel.algos.gam.GamUtilsISplines
 
GamUtilsThinPlateRegression - Class in hex.genmodel.algos.gam
 
GamUtilsThinPlateRegression() - Constructor for class hex.genmodel.algos.gam.GamUtilsThinPlateRegression
 
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
 
gen_a_m_j(double, double, double) - Static method in class hex.genmodel.algos.gam.GamUtilsCubicRegression
 
gen_a_p_j(double, double, double) - Static method in class hex.genmodel.algos.gam.GamUtilsCubicRegression
 
gen_c_m_j(double, double, double) - Static method in class hex.genmodel.algos.gam.GamUtilsCubicRegression
 
gen_c_p_j(double, double, double) - Static method in class hex.genmodel.algos.gam.GamUtilsCubicRegression
 
genBasisFunctions(int, int, double[]) - Static method in class hex.genmodel.algos.gam.NBSplinesTypeI
 
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[][], 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.
genModel - Variable in class hex.genmodel.tools.PrintMojo
 
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
 
get(String) - Method in class hex.genmodel.algos.targetencoder.EncodingMaps
 
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
 
getActualValue() - Method in class hex.genmodel.attributes.parameters.ModelParameter
 
getBeta() - Method in class hex.genmodel.algos.glm.GlmMojoModelBase
 
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
 
getBuildVersion() - Static method in class water.genmodel.AbstractBuildVersion
 
getCalibGlmBeta() - Method in interface hex.genmodel.algos.tree.CalibrationMojoHelper.MojoModelWithCalibration
 
getCalibGlmBeta() - Method in class hex.genmodel.algos.tree.SharedTreeMojoModel
 
getCatCidx(int, int, int[], int[]) - Static method in class hex.genmodel.algos.glrm.GlrmMojoModel
 
getCategoricalEncoding() - Method in class hex.genmodel.algos.deeplearning.DeeplearningMojoModel
 
getCategoricalEncoding() - Method in class hex.genmodel.algos.tree.SharedTreeMojoModel
 
getCategoricalEncoding() - Method in class hex.genmodel.GenModel
Return type of encoding expected by the model implementation.
getCategoricalEncoding() - Method in interface water.genmodel.IGeneratedModel
 
getCell(int, int) - Method in class hex.genmodel.attributes.Table
 
getCellValues() - Method in class hex.genmodel.attributes.Table
 
getColHeaderForRowHeaders() - Method in class hex.genmodel.attributes.Table
 
getColHeaders() - Method in class hex.genmodel.attributes.Table
 
getColId() - Method in class hex.genmodel.algos.tree.SharedTreeNode
 
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.attributes.Table
 
getColTypesString() - Method in class hex.genmodel.attributes.Table
 
getColumnFormats() - Method in class hex.genmodel.attributes.Table
 
getColumnName() - Method in class hex.genmodel.attributes.parameters.ColumnSpecifier
 
getColumnName() - Method in exception hex.genmodel.easy.exception.PredictUnknownCategoricalLevelException
Get the column name for which the unknown level was given as input.
getColumns() - Method in class hex.genmodel.algos.targetencoder.EncodingMaps
 
getContribs(float[]) - Method in class hex.genmodel.algos.tree.ContributionsPredictor
 
getContributionNames() - Method in class hex.genmodel.algos.tree.ContributionsPredictor
 
getContributionNames() - Method in class hex.genmodel.easy.EasyPredictModelWrapper
Returns names of contributions for prediction results with constributions enabled.
getContributionNames() - Method in interface hex.genmodel.PredictContributions
 
getContributionsPredictor(TreeSHAPPredictor<double[]>) - Method in class hex.genmodel.algos.drf.DrfMojoModel
 
getContributionsPredictor(TreeSHAPPredictor<double[]>) - Method in class hex.genmodel.algos.gbm.GbmMojoModel
 
getContributionsPredictor(TreeSHAPPredictor<double[]>) - Method in class hex.genmodel.algos.tree.SharedTreeMojoModelWithContributions
 
getConvertInvalidNumbersToNa() - Method in class hex.genmodel.easy.EasyPredictModelWrapper.Config
 
getConvertUnknownCategoricalLevelsToNa() - Method in class hex.genmodel.easy.EasyPredictModelWrapper.Config
 
getCrossValidationMetrics() - Method in class hex.genmodel.attributes.ModelAttributes
 
getCrossValidationMetricsSummary() - Method in class hex.genmodel.attributes.ModelAttributes
 
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.
getDebugId() - Method in class hex.genmodel.algos.tree.SharedTreeNode
 
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
 
getDecisionPath(double[]) - Method in interface hex.genmodel.algos.tree.TreeBackedMojoModel
 
getDecisionPathNames() - Method in class hex.genmodel.algos.tree.SharedTreeMojoModel
 
getDefaultValue() - Method in class hex.genmodel.attributes.parameters.ModelParameter
 
getDepth() - Method in class hex.genmodel.algos.tree.SharedTreeNode
 
getDispersionEstimated() - Method in class hex.genmodel.algos.glm.GlmMojoModelBase
 
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
 
getEnableContributions() - Method in class hex.genmodel.easy.EasyPredictModelWrapper
 
getEnableGLRMReconstruct() - Method in class hex.genmodel.easy.EasyPredictModelWrapper
 
getEnableGLRMReconstrut() - Method in class hex.genmodel.easy.EasyPredictModelWrapper.Config
 
getEnableLeafAssignment() - Method in class hex.genmodel.easy.EasyPredictModelWrapper.Config
 
getEnableLeafAssignment() - Method in class hex.genmodel.easy.EasyPredictModelWrapper
 
getEnableStagedProbabilities() - Method in class hex.genmodel.easy.EasyPredictModelWrapper.Config
 
getEnableStagedProbabilities() - Method in class hex.genmodel.easy.EasyPredictModelWrapper
 
getEncodings(String) - Method in class hex.genmodel.algos.targetencoder.TargetEncoderMojoModel
 
getErrorConsumer() - Method in class hex.genmodel.easy.EasyPredictModelWrapper.Config
 
getFormula() - Method in class water.util.comparison.string.LongestCommonSubstring
 
getGain(boolean) - Method in class hex.genmodel.algos.tree.SharedTreeNode
 
getGLRMIterNumber() - 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
???
getHelp() - Method in class hex.genmodel.attributes.parameters.ModelParameter
 
getInclusiveLevels() - Method in class hex.genmodel.algos.tree.SharedTreeNode
 
getInclusiveNa() - Method in class hex.genmodel.algos.tree.SharedTreeNode
 
getInitF() - Method in class hex.genmodel.algos.gbm.GbmMojoModel
 
getInitF() - Method in class hex.genmodel.algos.isofor.IsolationForestMojoModel
 
getInitF() - Method in class hex.genmodel.algos.tree.SharedTreeMojoModelWithContributions
 
getInitF() - Method in interface hex.genmodel.algos.tree.TreeBackedMojoModel
 
getInitF() - Method in class hex.genmodel.algos.upliftdrf.UpliftDrfMojoModel
 
getInputValue() - Method in class hex.genmodel.attributes.parameters.ModelParameter
 
getIntercept() - Method in class hex.genmodel.algos.glm.GlmMojoModel
 
getIsMemberOfFrames() - Method in class hex.genmodel.attributes.parameters.ColumnSpecifier
 
getIsMemberOfFrames() - Method in class hex.genmodel.attributes.parameters.ModelParameter
 
getIsMutuallyExclusiveWith() - Method in class hex.genmodel.attributes.parameters.ModelParameter
 
getIsotonicCalibrator() - Method in interface hex.genmodel.algos.tree.CalibrationMojoHelper.MojoModelWithCalibration
 
getIsotonicCalibrator() - Method in class hex.genmodel.algos.tree.SharedTreeMojoModel
 
getKey() - Method in class hex.genmodel.attributes.parameters.KeyValue
 
getLabel() - Method in class hex.genmodel.attributes.parameters.ModelParameter
 
getLeafNodeAssignments(double[]) - Method in class hex.genmodel.algos.tree.SharedTreeMojoModel
 
getLeafNodeAssignments(double[]) - Method in interface hex.genmodel.algos.tree.TreeBackedMojoModel
 
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
 
getLevel() - Method in class hex.genmodel.attributes.parameters.ModelParameter
 
getMajor() - Method in enum water.util.JavaVersionUtils
 
getMinimumLength() - Method in class water.util.comparison.string.LongestCommonSubstring
 
getModel() - Method in class hex.genmodel.easy.EasyPredictModelWrapper.Config
 
getModel() - Method in class hex.genmodel.easy.EasyPredictModelWrapper
 
getModel(String) - Method in class hex.genmodel.MultiModelMojoReader
 
getModelCategories() - Method in class hex.genmodel.algos.glrm.GlrmMojoModel
 
getModelCategories() - Method in class hex.genmodel.algos.klime.KLimeMojoModel
 
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 interface hex.genmodel.descriptor.ModelDescriptor
Model's category.
getModelCategory() - Method in class hex.genmodel.descriptor.ModelDescriptorBuilder.MojoModelDescriptor
 
getModelCategory() - Method in class hex.genmodel.descriptor.ModelDescriptorBuilder.PojoModelDescriptor
 
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 class hex.genmodel.MojoModel
 
getModelColumnNames() - Method in class hex.genmodel.easy.EigenEncoderColumnMapper
 
getModelColumnNames() - Method in class hex.genmodel.easy.EnumEncoderColumnMapper
 
getModelColumnNames() - Method in class hex.genmodel.easy.EnumLimitedEncoderColumnMapper
 
getModelName() - Method in class hex.genmodel.algos.coxph.CoxPHMojoReader
 
getModelName() - Method in class hex.genmodel.algos.deeplearning.DeeplearningMojoReader
 
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.gam.GamMojoReader
 
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.isoforextended.ExtendedIsolationForestMojoReader
 
getModelName() - Method in class hex.genmodel.algos.isotonic.IsotonicRegressionMojoReader
 
getModelName() - Method in class hex.genmodel.algos.klime.KLimeMojoReader
 
getModelName() - Method in class hex.genmodel.algos.kmeans.KMeansMojoReader
 
getModelName() - Method in class hex.genmodel.algos.pca.PCAMojoReader
 
getModelName() - Method in class hex.genmodel.algos.pipeline.MojoPipelineReader
 
getModelName() - Method in class hex.genmodel.algos.rulefit.RuleFitMojoReader
 
getModelName() - Method in class hex.genmodel.algos.svm.SvmMojoReader
 
getModelName() - Method in class hex.genmodel.algos.targetencoder.TargetEncoderMojoReader
 
getModelName() - Method in class hex.genmodel.algos.upliftdrf.UpliftDrfMojoReader
 
getModelName() - Method in class hex.genmodel.algos.word2vec.Word2VecMojoReader
 
getModelName() - Method in class hex.genmodel.ModelMojoReader
 
getModelParameters() - Method in class hex.genmodel.attributes.ModelAttributes
 
getModelSummary() - Method in class hex.genmodel.attributes.ModelAttributes
Model summary might vary not only per model, but per each version of the model.
getMojoReader(String) - Method in class hex.genmodel.ModelMojoFactory
 
getMojoReaderBackend() - Method in class hex.genmodel.ModelMojoReader
 
getNACategory() - Method in class hex.genmodel.algos.targetencoder.EncodingMap
 
getName() - Method in class hex.genmodel.algos.tree.SharedTreeNode
 
getName() - Method in class hex.genmodel.attributes.parameters.ModelParameter
 
getName() - Method in class hex.genmodel.attributes.parameters.ParameterKey
 
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.
getNBits() - Method in class hex.genmodel.utils.GenmodelBitSet
 
getNodeNumber() - Method in class hex.genmodel.algos.tree.SharedTreeNode
 
getNodes() - Method in class hex.genmodel.algos.tree.SharedTreeSubgraph
 
getNTreeGroups() - Method in class hex.genmodel.algos.tree.SharedTreeMojoModel
 
getNTreeGroups() - Method in interface hex.genmodel.algos.tree.TreeBackedMojoModel
 
getNTreesPerGroup() - Method in class hex.genmodel.algos.tree.SharedTreeMojoModel
 
getNTreesPerGroup() - Method in interface hex.genmodel.algos.tree.TreeBackedMojoModel
 
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).
getNumDen(int) - Method in class hex.genmodel.algos.targetencoder.EncodingMap
 
getNumDen(int, int) - Method in class hex.genmodel.algos.targetencoder.EncodingMap
 
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.
getOffsetName() - Method in class hex.genmodel.GenModel
 
getOffsetName() - Method in interface water.genmodel.IGeneratedModel
The name of the offset column.
getOrigDomains() - Method in interface hex.genmodel.descriptor.ModelDescriptor
 
getOrigDomains() - Method in class hex.genmodel.descriptor.ModelDescriptorBuilder.MojoModelDescriptor
 
getOrigDomains() - Method in class hex.genmodel.descriptor.ModelDescriptorBuilder.PojoModelDescriptor
 
getOrigDomainValues() - Method in class hex.genmodel.algos.deeplearning.DeeplearningMojoModel
 
getOrigDomainValues() - Method in class hex.genmodel.algos.tree.SharedTreeMojoModel
 
getOrigDomainValues() - Method in class hex.genmodel.GenModel
 
getOrigDomainValues() - Method in interface water.genmodel.IGeneratedModel
Returns original domain values for all columns including response column.
getOrigNames() - Method in class hex.genmodel.algos.deeplearning.DeeplearningMojoModel
 
getOrigNames() - Method in class hex.genmodel.algos.tree.SharedTreeMojoModel
 
getOrigNames() - Method in interface hex.genmodel.descriptor.ModelDescriptor
 
getOrigNames() - Method in class hex.genmodel.descriptor.ModelDescriptorBuilder.MojoModelDescriptor
 
getOrigNames() - Method in class hex.genmodel.descriptor.ModelDescriptorBuilder.PojoModelDescriptor
 
getOrigNames() - Method in class hex.genmodel.GenModel
The original names of all columns used, including response and offset columns.
getOrigNames() - Method in interface water.genmodel.IGeneratedModel
The original names of columns used in the model.
getOrigNumCols() - Method in class hex.genmodel.GenModel
 
getOrigProjectionArray() - Method in class hex.genmodel.algos.deeplearning.DeeplearningMojoModel
 
getOrigProjectionArray() - Method in class hex.genmodel.algos.tree.SharedTreeMojoModel
 
getOrigProjectionArray() - Method in class hex.genmodel.GenModel
Returns original Eigen encoder projections array for all columns.
getOrigProjectionArray() - Method in interface water.genmodel.IGeneratedModel
Returns original Eigen encoder projections array for all columns.
getOutputDomains() - Method in class hex.genmodel.GenModel
Companion method to getOutputNames.
getOutputNames() - Method in class hex.genmodel.algos.gbm.GbmMojoModel
 
getOutputNames() - Method in class hex.genmodel.algos.glm.GlmMojoModelBase
 
getOutputNames() - Method in class hex.genmodel.algos.glrm.GlrmMojoModel
 
getOutputNames() - Method in class hex.genmodel.algos.isofor.IsolationForestMojoModel
 
getOutputNames() - Method in class hex.genmodel.algos.isoforextended.ExtendedIsolationForestMojoModel
 
getOutputNames() - Method in class hex.genmodel.algos.pca.PCAMojoModel
 
getOutputNames() - Method in class hex.genmodel.GenModel
 
getParameterValueByName(String) - Method in class hex.genmodel.attributes.ModelAttributes
 
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.
getPredictionBinomial(double[], double) - Static method in class hex.genmodel.GenModel
 
getPredictionMultinomial(double[], double[], double[]) - Static method in class hex.genmodel.GenModel
 
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.algos.isofor.IsolationForestMojoModel
 
getPredsSize() - Method in class hex.genmodel.algos.isoforextended.ExtendedIsolationForestMojoModel
 
getPredsSize() - Method in class hex.genmodel.algos.klime.KLimeMojoModel
 
getPredsSize() - Method in class hex.genmodel.algos.pca.PCAMojoModel
 
getPredsSize() - Method in class hex.genmodel.algos.targetencoder.TargetEncoderMojoModel
 
getPredsSize() - Method in class hex.genmodel.algos.upliftdrf.UpliftDrfMojoModel
 
getPredsSize(ModelCategory) - Method in class hex.genmodel.algos.upliftdrf.UpliftDrfMojoModel
 
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
 
getPrintString(String) - Method in class hex.genmodel.algos.tree.SharedTreeNode
 
getPriorMean() - Method in class hex.genmodel.algos.targetencoder.EncodingMap
 
getPriorMean(int) - Method in class hex.genmodel.algos.targetencoder.EncodingMap
 
getRegressionModel(int) - Method in class hex.genmodel.algos.klime.KLimeMojoModel
 
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.attributes.Table
 
getScoringHistory() - Method in class hex.genmodel.attributes.ModelAttributes
Retrieves model's scoring history.
getSize() - Method in class hex.genmodel.algos.tree.TreeSHAP.PathPointer
 
getSize() - Method in interface hex.genmodel.algos.tree.TreeSHAPPredictor.Workspace
 
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.attributes.Table
 
getTableHeader() - Method in class hex.genmodel.attributes.Table
 
getTextFile(String) - Method in class hex.genmodel.InMemoryMojoReaderBackend
 
getTextFile(String) - Method in interface hex.genmodel.MojoReaderBackend
 
getThresholds() - Method in class hex.genmodel.algos.upliftdrf.UpliftDrfMojoModel
 
getTotalUnknownCategoricalLevelsSeen() - Method in class hex.genmodel.easy.error.CountingErrorConsumer
Counts and returns all previously unseen categorical variables across all columns.
getTrainingMetrics() - Method in class hex.genmodel.attributes.ModelAttributes
 
getType() - Method in class hex.genmodel.attributes.parameters.ModelParameter
 
getType() - Method in class hex.genmodel.attributes.parameters.ParameterKey
 
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.
getUnseenCategoricals(String) - Method in class hex.genmodel.easy.error.CountingErrorConsumer
 
getURL() - Method in class hex.genmodel.attributes.parameters.ParameterKey
 
getUseExtendedOutput() - Method in class hex.genmodel.easy.EasyPredictModelWrapper.Config
 
getUseExternalEncoding() - 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.
getValidationMetrics() - Method in class hex.genmodel.attributes.ModelAttributes
 
getValue() - Method in class hex.genmodel.attributes.parameters.KeyValue
 
getValues() - Method in class hex.genmodel.attributes.parameters.ModelParameter
 
getVariableImportances() - Method in class hex.genmodel.attributes.DeepLearningModelAttributes
 
getVariableImportances() - Method in class hex.genmodel.attributes.ModelAttributesGLM
 
getVariableImportances() - Method in interface hex.genmodel.attributes.parameters.VariableImportancesHolder
 
getVariableImportances() - Method in class hex.genmodel.attributes.SharedTreeModelAttributes
 
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
getVerboseGCFlag() - Method in enum water.util.JavaVersionUtils
 
getWeight() - Method in class hex.genmodel.algos.tree.SharedTreeNode
 
getWorkspaceSize() - Method in class hex.genmodel.algos.tree.TreeSHAP
 
getWorkspaceSize() - Method in class hex.genmodel.algos.tree.TreeSHAPEnsemble
 
getWorkspaceSize() - Method in interface hex.genmodel.algos.tree.TreeSHAPPredictor
 
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
 
GlmMojoModelBase - 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
 
gridable - Variable in class hex.genmodel.attributes.parameters.ModelParameter
 

H

H2OJaroWinklerComparator - Class in water.util.comparison.string
An implementation of the Jaro-Winkler string similarity measure.
H2OJaroWinklerComparator() - Constructor for class water.util.comparison.string.H2OJaroWinklerComparator
 
H2OPredictor - Class in water.util
Created by magnus on 5/5/16.
H2OPredictor(String, String) - Constructor for class water.util.H2OPredictor
 
harmonicNumberEstimation(long) - Static method in class hex.genmodel.utils.MathUtils
Compute harmonic number estimated by natural logarithm
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
 
hashCode() - Method in class hex.genmodel.attributes.parameters.StringPair
 
hasRemaining() - Method in class hex.genmodel.utils.ByteBufferWrapper
 
help - Variable in class hex.genmodel.attributes.parameters.ModelParameter
 
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.coxph - package hex.genmodel.algos.coxph
 
hex.genmodel.algos.deeplearning - package hex.genmodel.algos.deeplearning
 
hex.genmodel.algos.drf - package hex.genmodel.algos.drf
 
hex.genmodel.algos.ensemble - package hex.genmodel.algos.ensemble
 
hex.genmodel.algos.gam - package hex.genmodel.algos.gam
 
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.isoforextended - package hex.genmodel.algos.isoforextended
 
hex.genmodel.algos.isotonic - package hex.genmodel.algos.isotonic
 
hex.genmodel.algos.klime - package hex.genmodel.algos.klime
 
hex.genmodel.algos.kmeans - package hex.genmodel.algos.kmeans
 
hex.genmodel.algos.pca - package hex.genmodel.algos.pca
 
hex.genmodel.algos.pipeline - package hex.genmodel.algos.pipeline
 
hex.genmodel.algos.psvm - package hex.genmodel.algos.psvm
 
hex.genmodel.algos.rulefit - package hex.genmodel.algos.rulefit
 
hex.genmodel.algos.svm - package hex.genmodel.algos.svm
 
hex.genmodel.algos.targetencoder - package hex.genmodel.algos.targetencoder
 
hex.genmodel.algos.tree - package hex.genmodel.algos.tree
 
hex.genmodel.algos.upliftdrf - package hex.genmodel.algos.upliftdrf
 
hex.genmodel.algos.word2vec - package hex.genmodel.algos.word2vec
 
hex.genmodel.annotations - package hex.genmodel.annotations
 
hex.genmodel.attributes - package hex.genmodel.attributes
 
hex.genmodel.attributes.metrics - package hex.genmodel.attributes.metrics
 
hex.genmodel.attributes.parameters - package hex.genmodel.attributes.parameters
 
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
 
init() - Method in class hex.genmodel.algos.targetencoder.TargetEncoderMojoModel
 
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
 
INPUT_ENCODING_COLUMNS_MAPPING_PATH - Static variable in class hex.genmodel.algos.targetencoder.TargetEncoderMojoReader
 
INPUT_OUTPUT_COLUMNS_MAPPING_PATH - Static variable in class hex.genmodel.algos.targetencoder.TargetEncoderMojoReader
 
input_value - Variable in class hex.genmodel.attributes.parameters.ModelParameter
 
INSTANCE - Static variable in class hex.genmodel.ModelMojoFactory
 
intDiv(double, HashMap<String, String[]>) - Static method in class hex.genmodel.GenMunger
 
internal - Variable in class hex.genmodel.tools.PrintMojo
 
internal_threadSafeInstance() - Method in class hex.genmodel.algos.gam.GamMojoModelBase
 
internal_threadSafeInstance() - Method in class hex.genmodel.GenModel
Deprecated.
inTypes() - Method in class hex.genmodel.GenMunger
 
invalidPath() - Method in interface hex.genmodel.algos.tree.SharedTreeMojoModel.DecisionPathTracker
 
invalidPath() - Method in class hex.genmodel.algos.tree.SharedTreeMojoModel.LeafDecisionPathTracker
 
invalidPath() - Method in class hex.genmodel.algos.tree.SharedTreeMojoModel.StringDecisionPathTracker
 
IOUtils - Class in hex.genmodel.utils
 
IOUtils() - Constructor for class hex.genmodel.utils.IOUtils
 
is_member_of_frames - Variable in class hex.genmodel.attributes.parameters.ModelParameter
 
is_mutually_exclusive_with - Variable in class hex.genmodel.attributes.parameters.ModelParameter
 
IS_SPLINE_TYPE - Static variable in class hex.genmodel.algos.gam.GamMojoModel
 
isAnomaly - Variable in class hex.genmodel.easy.prediction.AnomalyDetectionPrediction
Only available when MojoModel has contamination parameter defined otherwise is null.
isAutoEncoder() - Method in class hex.genmodel.GenModel
Returns true if this model represents an AutoEncoder.
isAutoEncoder() - Method in interface water.genmodel.IGeneratedModel
 
isBinomialDoubleTrees() - Method in class hex.genmodel.algos.drf.DrfMojoModel
 
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
 
isCollectUnseenCategoricals() - Method in class hex.genmodel.easy.error.CountingErrorConsumer.Config
 
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
 
isGridable() - Method in class hex.genmodel.attributes.parameters.ModelParameter
 
isInclusiveNa() - Method in class hex.genmodel.algos.tree.SharedTreeNode
 
isInRange(int) - Method in class hex.genmodel.utils.GenmodelBitSet
 
isKnown() - Method in enum water.util.JavaVersionUtils
 
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
 
IsotonicCalibrator - Class in hex.genmodel.algos.isotonic
 
IsotonicCalibrator(double, double, double[], double[]) - Constructor for class hex.genmodel.algos.isotonic.IsotonicCalibrator
 
IsotonicRegressionMojoModel - Class in hex.genmodel.algos.isotonic
 
IsotonicRegressionMojoModel(String[], String[][], String) - Constructor for class hex.genmodel.algos.isotonic.IsotonicRegressionMojoModel
 
IsotonicRegressionMojoReader - Class in hex.genmodel.algos.isotonic
 
IsotonicRegressionMojoReader() - Constructor for class hex.genmodel.algos.isotonic.IsotonicRegressionMojoReader
 
IsotonicRegressionUtils - Class in hex.genmodel.algos.isotonic
 
IsotonicRegressionUtils() - Constructor for class hex.genmodel.algos.isotonic.IsotonicRegressionUtils
 
isParametrized() - Method in enum hex.genmodel.CategoricalEncoding
Does the categorical encoding have any parameters that are needed to correctly interpret it? Eg.: number of classes for EnumLimited
ISplines - Class in hex.genmodel.algos.gam
 
ISplines(int, double[]) - Constructor for class hex.genmodel.algos.gam.ISplines
 
isRequired() - Method in class hex.genmodel.attributes.parameters.ModelParameter
 
isSupervised() - Method in interface hex.genmodel.descriptor.ModelDescriptor
 
isSupervised() - Method in class hex.genmodel.descriptor.ModelDescriptorBuilder.MojoModelDescriptor
 
isSupervised() - Method in class hex.genmodel.descriptor.ModelDescriptorBuilder.PojoModelDescriptor
 
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 class hex.genmodel.MojoModel
 
isTokenized() - Method in class water.util.comparison.string.ExactComparator
 
isTokenized() - Method in class water.util.comparison.string.H2OJaroWinklerComparator
 
isTokenized() - Method in class water.util.comparison.string.JaccardIndexComparator
 
isTokenized() - Method in class water.util.comparison.string.LevenshteinDistanceComparator
 
isTokenized() - Method in class water.util.comparison.string.LongestCommonSubstring
 
isTokenized() - Method in class water.util.comparison.string.QGramComparator
 
isTokenized() - Method in class water.util.comparison.string.SoundexComparator
 
isTokenized() - Method in interface water.util.comparison.string.StringComparator
 
iterator() - Method in class hex.genmodel.algos.targetencoder.EncodingMaps
 

J

JaccardIndexComparator - Class in water.util.comparison.string
 
JaccardIndexComparator() - Constructor for class water.util.comparison.string.JaccardIndexComparator
 
JavaVersionUtils - Enum in water.util
 
join(String[]) - Static method in class water.util.comparison.string.StringUtils
 

K

KernelParameters - Class in hex.genmodel.algos.psvm
 
KernelParameters() - Constructor for class hex.genmodel.algos.psvm.KernelParameters
 
KernelType - Enum in hex.genmodel.algos.psvm
 
key - Variable in class hex.genmodel.attributes.parameters.KeyValue
 
KeyValue - Class in hex.genmodel.attributes.parameters
 
KeyValue(String, double) - Constructor for class hex.genmodel.attributes.parameters.KeyValue
 
KLimeModelPrediction - Class in hex.genmodel.easy.prediction
 
KLimeModelPrediction() - Constructor for class hex.genmodel.easy.prediction.KLimeModelPrediction
 
KLimeMojoModel - Class in hex.genmodel.algos.klime
 
KLimeMojoReader - Class in hex.genmodel.algos.klime
 
KLimeMojoReader() - Constructor for class hex.genmodel.algos.klime.KLimeMojoReader
 
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.attributes.parameters.ModelParameter
 
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.
LabelEncoder - Class in hex.genmodel.easy
 
LabelEncoder(int, String[]) - Constructor for class hex.genmodel.easy.LabelEncoder
 
LabelEncoderDomainMapConstructor - Class in hex.genmodel.easy
 
LabelEncoderDomainMapConstructor(GenModel, Map<String, Integer>) - Constructor for class hex.genmodel.easy.LabelEncoderDomainMapConstructor
 
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.
lastCommitHash() - Method in class water.genmodel.AbstractBuildVersion
 
lastCommitHash() - Method in class water.genmodel.BuildVersion
 
LEAF - Static variable in class hex.genmodel.algos.isoforextended.ExtendedIsolationForestMojoModel
 
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
Ditto, available in MOJO 1.3 and newer
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
Only valid for tree-based models, null for all other mojo models.
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
 
leftChildIndex(int) - Static method in class hex.genmodel.algos.isoforextended.ExtendedIsolationForestMojoModel
 
level - Variable in class hex.genmodel.attributes.parameters.ModelParameter
 
LevenshteinDistanceComparator - Class in water.util.comparison.string
Non-weighted, case-sensitive Levenshtein distance implementation inspired by Simmetrics library.
LevenshteinDistanceComparator() - Constructor for class water.util.comparison.string.LevenshteinDistanceComparator
 
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
 
LinkFunctionType - Enum in hex.genmodel.utils
Link Function type NOTE: The moving to hex.LinkFunctionType is not possible without resolving dependencies between h2o-genmodel and h2o-algos project
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(String) - Static method in class hex.genmodel.MojoModel
Primary factory method for constructing MojoModel instances.
load(String, boolean) - 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.
locateBin(double, double[]) - Static method in class hex.genmodel.algos.gam.GamUtilsCubicRegression
 
log(double) - Static method in class hex.genmodel.algos.gbm.GbmMojoModel
Sanitized log function - helper function Be careful if you are changing code here - you have to change it in hex.LogExpUtils too
log2(int) - Static method in class hex.genmodel.utils.MathUtils
Fast calculation of log base 2 for integers.
log2(long) - Static method in class hex.genmodel.utils.MathUtils
 
log_rescale(double[]) - Static method in class hex.genmodel.GenModel
 
LongestCommonSubstring - Class in water.util.comparison.string
 
LongestCommonSubstring() - Constructor for class water.util.comparison.string.LongestCommonSubstring
 
LongestCommonSubstring.Formula - Enum in water.util.comparison.string
Represents the different formulas we can use to compute similarity.
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.genmodel.AbstractBuildVersion
 
main(String[]) - Static method in class water.util.H2OPredictor
 
make(String[], GenModel) - Static method in class hex.genmodel.tools.PredictCsv
 
makeComparator(String) - Static method in class water.util.comparison.string.StringComparatorFactory
 
makeContributionsPredictor() - Method in class hex.genmodel.algos.tree.SharedTreeMojoModelWithContributions
 
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
makeConverterFactory(Map<String, Integer>, Map<Integer, CategoricalEncoder>, EasyPredictModelWrapper.ErrorConsumer, EasyPredictModelWrapper.Config) - Method in class hex.genmodel.algos.gam.GamMojoModelBase
 
makeConverterFactory(Map<String, Integer>, Map<Integer, CategoricalEncoder>, EasyPredictModelWrapper.ErrorConsumer, EasyPredictModelWrapper.Config) - Method in interface hex.genmodel.ConverterFactoryProvidingModel
 
makeDescriptor(MojoModel, String, ModelAttributes) - Static method in class hex.genmodel.descriptor.ModelDescriptorBuilder
Builds an instance of ModelDescriptor, using information provided by the serialized model and which corresponding implementations of ModelMojoReader are able to provide.
makeDescriptor(GenModel) - Static method in class hex.genmodel.descriptor.ModelDescriptorBuilder
 
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.coxph.CoxPHMojoReader
 
makeModel(String[], String[][], String) - Method in class hex.genmodel.algos.deeplearning.DeeplearningMojoReader
 
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.gam.GamMojoReader
 
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.isoforextended.ExtendedIsolationForestMojoReader
 
makeModel(String[], String[][], String) - Method in class hex.genmodel.algos.isotonic.IsotonicRegressionMojoReader
 
makeModel(String[], String[][], String) - Method in class hex.genmodel.algos.klime.KLimeMojoReader
 
makeModel(String[], String[][], String) - Method in class hex.genmodel.algos.kmeans.KMeansMojoReader
 
makeModel(String[], String[][], String) - Method in class hex.genmodel.algos.pca.PCAMojoReader
 
makeModel(String[], String[][], String) - Method in class hex.genmodel.algos.pipeline.MojoPipelineReader
 
makeModel(String[], String[][], String) - Method in class hex.genmodel.algos.rulefit.RuleFitMojoReader
 
makeModel(String[], String[][], String) - Method in class hex.genmodel.algos.svm.SvmMojoReader
 
makeModel(String[], String[][], String) - Method in class hex.genmodel.algos.targetencoder.TargetEncoderMojoReader
 
makeModel(String[], String[][], String) - Method in class hex.genmodel.algos.upliftdrf.UpliftDrfMojoReader
 
makeModel(String[], String[][], String, String) - Method in class hex.genmodel.algos.upliftdrf.UpliftDrfMojoReader
 
makeModel(String[], String[][], String) - Method in class hex.genmodel.algos.word2vec.Word2VecMojoReader
 
makeModel(String[], String[][], String) - Method in class hex.genmodel.ModelMojoReader
 
makeModel(String[], 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.
makeScorer(KernelType, KernelParameters, byte[]) - Static method in class hex.genmodel.algos.psvm.ScorerFactory
 
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
 
map(double[], byte[]) - Method in class hex.genmodel.algos.rulefit.MojoRule
 
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
 
maxLevelsToPrintPerEdge - Variable in class hex.genmodel.tools.PrintMojo
 
MaxoutDropoutOut() - Constructor for class hex.genmodel.algos.deeplearning.ActivationUtils.MaxoutDropoutOut
 
MaxoutOut() - Constructor for class hex.genmodel.algos.deeplearning.ActivationUtils.MaxoutOut
 
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
 
MISSING_VALUES_PRESENCE_MAP_PATH - Static variable in class hex.genmodel.algos.targetencoder.TargetEncoderMojoReader
 
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.attributes.ModelJsonReader
 
ModelAttributes - Class in hex.genmodel.attributes
Attributes of a MOJO model extracted from the MOJO itself.
ModelAttributes(MojoModel, JsonObject) - Constructor for class hex.genmodel.attributes.ModelAttributes
 
ModelAttributesGLM - Class in hex.genmodel.attributes
 
ModelAttributesGLM(MojoModel, JsonObject) - Constructor for class hex.genmodel.attributes.ModelAttributesGLM
 
ModelCategory - Enum in hex
Different prediction categories for models.
modelClassDist() - Method in interface hex.genmodel.descriptor.ModelDescriptor
 
modelClassDist() - Method in class hex.genmodel.descriptor.ModelDescriptorBuilder.MojoModelDescriptor
 
modelClassDist() - Method in class hex.genmodel.descriptor.ModelDescriptorBuilder.PojoModelDescriptor
 
ModelDescriptor - Interface in hex.genmodel.descriptor
Internal structure providing basic information about a model.
ModelDescriptorBuilder - Class in hex.genmodel.descriptor
 
ModelDescriptorBuilder() - Constructor for class hex.genmodel.descriptor.ModelDescriptorBuilder
 
ModelDescriptorBuilder.MojoModelDescriptor - Class in hex.genmodel.descriptor
 
ModelDescriptorBuilder.PojoModelDescriptor - Class in hex.genmodel.descriptor
 
ModelJsonReader - Class in hex.genmodel.attributes
Utility class for extracting model details from JSON
ModelJsonReader() - Constructor for class hex.genmodel.attributes.ModelJsonReader
 
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
 
ModelParameter - Class in hex.genmodel.attributes.parameters
 
ModelParameter() - Constructor for class hex.genmodel.attributes.parameters.ModelParameter
 
ModelPojo - Annotation Type in hex.genmodel.annotations
Annotation to simplify identification of model pojos.
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
 
MojoCondition - Class in hex.genmodel.algos.rulefit
 
MojoCondition() - Constructor for class hex.genmodel.algos.rulefit.MojoCondition
 
MojoCondition.Operator - Enum in hex.genmodel.algos.rulefit
 
MojoCondition.Type - Enum in hex.genmodel.algos.rulefit
 
MojoModel - Class in hex.genmodel
Prediction model based on the persisted binary data.
MojoModel(String[], String[][], String) - Constructor for class hex.genmodel.MojoModel
 
MojoModel(String[], String[][], String, String) - Constructor for class hex.genmodel.MojoModel
 
MojoModelMetrics - Class in hex.genmodel.attributes.metrics
 
MojoModelMetrics() - Constructor for class hex.genmodel.attributes.metrics.MojoModelMetrics
 
MojoModelMetricsAnomaly - Class in hex.genmodel.attributes.metrics
Anomaly detection metrics
MojoModelMetricsAnomaly() - Constructor for class hex.genmodel.attributes.metrics.MojoModelMetricsAnomaly
 
MojoModelMetricsBinomial - Class in hex.genmodel.attributes.metrics
 
MojoModelMetricsBinomial() - Constructor for class hex.genmodel.attributes.metrics.MojoModelMetricsBinomial
 
MojoModelMetricsBinomialGLM - Class in hex.genmodel.attributes.metrics
 
MojoModelMetricsBinomialGLM() - Constructor for class hex.genmodel.attributes.metrics.MojoModelMetricsBinomialGLM
 
MojoModelMetricsBinomialUplift - Class in hex.genmodel.attributes.metrics
 
MojoModelMetricsBinomialUplift() - Constructor for class hex.genmodel.attributes.metrics.MojoModelMetricsBinomialUplift
 
MojoModelMetricsMultinomial - Class in hex.genmodel.attributes.metrics
 
MojoModelMetricsMultinomial() - Constructor for class hex.genmodel.attributes.metrics.MojoModelMetricsMultinomial
 
MojoModelMetricsMultinomialGLM - Class in hex.genmodel.attributes.metrics
 
MojoModelMetricsMultinomialGLM() - Constructor for class hex.genmodel.attributes.metrics.MojoModelMetricsMultinomialGLM
 
MojoModelMetricsOrdinal - Class in hex.genmodel.attributes.metrics
 
MojoModelMetricsOrdinal() - Constructor for class hex.genmodel.attributes.metrics.MojoModelMetricsOrdinal
 
MojoModelMetricsOrdinalGLM - Class in hex.genmodel.attributes.metrics
 
MojoModelMetricsOrdinalGLM() - Constructor for class hex.genmodel.attributes.metrics.MojoModelMetricsOrdinalGLM
 
MojoModelMetricsRegression - Class in hex.genmodel.attributes.metrics
 
MojoModelMetricsRegression() - Constructor for class hex.genmodel.attributes.metrics.MojoModelMetricsRegression
 
MojoModelMetricsRegressionCoxPH - Class in hex.genmodel.attributes.metrics
 
MojoModelMetricsRegressionCoxPH() - Constructor for class hex.genmodel.attributes.metrics.MojoModelMetricsRegressionCoxPH
 
MojoModelMetricsRegressionGLM - Class in hex.genmodel.attributes.metrics
 
MojoModelMetricsRegressionGLM() - Constructor for class hex.genmodel.attributes.metrics.MojoModelMetricsRegressionGLM
 
MojoModelMetricsSupervised - Class in hex.genmodel.attributes.metrics
 
MojoModelMetricsSupervised() - Constructor for class hex.genmodel.attributes.metrics.MojoModelMetricsSupervised
 
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
 
MojoPrinter - Interface in hex.genmodel.tools
 
MojoPrinter.Format - Enum in hex.genmodel.tools
 
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
 
MojoRule - Class in hex.genmodel.algos.rulefit
 
MojoRule() - Constructor for class hex.genmodel.algos.rulefit.MojoRule
 
MojoRuleEnsemble - Class in hex.genmodel.algos.rulefit
 
MojoRuleEnsemble(MojoRule[][][]) - Constructor for class hex.genmodel.algos.rulefit.MojoRuleEnsemble
 
mojoVersion() - Method in class hex.genmodel.AbstractMojoWriter
Version of the mojo file produced.
mojoVersion() - Method in class hex.genmodel.algos.coxph.CoxPHMojoReader
 
mojoVersion() - Method in class hex.genmodel.algos.deeplearning.DeeplearningMojoReader
 
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.gam.GamMojoReader
 
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.isoforextended.ExtendedIsolationForestMojoReader
 
mojoVersion() - Method in class hex.genmodel.algos.isotonic.IsotonicRegressionMojoReader
 
mojoVersion() - Method in class hex.genmodel.algos.klime.KLimeMojoReader
 
mojoVersion() - Method in class hex.genmodel.algos.kmeans.KMeansMojoReader
 
mojoVersion() - Method in class hex.genmodel.algos.pca.PCAMojoReader
 
mojoVersion() - Method in class hex.genmodel.algos.pipeline.MojoPipelineReader
 
mojoVersion() - Method in class hex.genmodel.algos.rulefit.RuleFitMojoReader
 
mojoVersion() - Method in class hex.genmodel.algos.svm.SvmMojoReader
 
mojoVersion() - Method in class hex.genmodel.algos.targetencoder.TargetEncoderMojoReader
 
mojoVersion() - Method in class hex.genmodel.algos.upliftdrf.UpliftDrfMojoReader
 
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
 
MS_SPLINE_TYPE - Static variable in class hex.genmodel.algos.gam.GamMojoModel
 
mse - Variable in class hex.genmodel.easy.prediction.AutoEncoderModelPrediction
Reconstruction mean squared error calculated from original and reconstructed data.
MSplineBasis(int, int, double[]) - Constructor for class hex.genmodel.algos.gam.NBSplinesTypeI.MSplineBasis
 
MSplines - Class in hex.genmodel.algos.gam
 
MSplines(int, double[]) - Constructor for class hex.genmodel.algos.gam.MSplines
 
mult(double[], double) - Static method in class hex.genmodel.utils.ArrayUtils
 
multArray(double[], double[][], double[]) - Static method in class hex.genmodel.utils.ArrayUtils
Carry out multiplication of row array a and matrix b and store the result in result array.
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.attributes.parameters.ModelParameter
 
name - Variable in class hex.genmodel.easy.prediction.SortedClassProbability
Name of this class level.
names() - Method in class hex.genmodel.GenMunger.Step
 
nanArray(int) - Static method in class hex.genmodel.utils.ArrayUtils
 
NaSplitDir - Enum in hex.genmodel.algos.tree
Copy of `hex.tree.DHistogram.NASplitDir` in package `h2o-algos`.
NBSplinesTypeI - Class in hex.genmodel.algos.gam
I implemented the spline described in Section III of doc in the GitHub issue https://github.com/h2oai/h2o-3/issues/7261.
NBSplinesTypeI(double[], int, int, int) - Constructor for class hex.genmodel.algos.gam.NBSplinesTypeI
Generate SBSpline Type I in Section III of doc I
NBSplinesTypeI.MSplineBasis - Class in hex.genmodel.algos.gam
This class describes a M spline using the recursive formula in equation 5 of the doc.
NBSplinesTypeII - Class in hex.genmodel.algos.gam
 
NBSplinesTypeII(int, double[]) - Constructor for class hex.genmodel.algos.gam.NBSplinesTypeII
 
NBSplinesTypeII.BSplineBasis - Class in hex.genmodel.algos.gam
 
nCatFeatures() - Method in class hex.genmodel.GenModel
 
nchar(String, HashMap<String, String[]>) - Static method in class hex.genmodel.GenMunger
 
nclasses() - Method in class hex.genmodel.algos.pca.PCAMojoModel
 
nclasses() - Method in interface hex.genmodel.descriptor.ModelDescriptor
 
nclasses() - Method in class hex.genmodel.descriptor.ModelDescriptorBuilder.MojoModelDescriptor
 
nclasses() - Method in class hex.genmodel.descriptor.ModelDescriptorBuilder.PojoModelDescriptor
 
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 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 interface hex.genmodel.descriptor.ModelDescriptor
 
nfeatures() - Method in class hex.genmodel.descriptor.ModelDescriptorBuilder.MojoModelDescriptor
 
nfeatures() - Method in class hex.genmodel.descriptor.ModelDescriptorBuilder.PojoModelDescriptor
 
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 class hex.genmodel.MojoModel
 
nid - Variable in class hex.genmodel.algos.tree.SharedTreeMojoModel.AuxInfo
 
nidL - Variable in class hex.genmodel.algos.tree.SharedTreeMojoModel.AuxInfo
 
nidR - Variable in class hex.genmodel.algos.tree.SharedTreeMojoModel.AuxInfo
 
NODE - Static variable in class hex.genmodel.algos.isoforextended.ExtendedIsolationForestMojoModel
 
nodesArray - Variable in class hex.genmodel.algos.tree.SharedTreeSubgraph
 
normalizedScore - Variable in class hex.genmodel.easy.prediction.AnomalyDetectionPrediction
Higher number means more anomalous point, smaller number means more normal point.
nPlaces - Variable in class hex.genmodel.algos.tree.SharedTreeSubgraph
 
numberOfUsedVariables() - Method in class hex.genmodel.attributes.VariableImportances
 

O

offsetColumn() - Method in interface hex.genmodel.descriptor.ModelDescriptor
 
offsetColumn() - Method in class hex.genmodel.descriptor.ModelDescriptorBuilder.MojoModelDescriptor
 
offsetColumn() - Method in class hex.genmodel.descriptor.ModelDescriptorBuilder.PojoModelDescriptor
 
OneHotEncoder - Class in hex.genmodel.easy
 
OneHotEncoderColumnMapper - Class in hex.genmodel.easy
 
OneHotEncoderColumnMapper(GenModel) - Constructor for class hex.genmodel.easy.OneHotEncoderColumnMapper
 
OneHotEncoderDomainMapConstructor - Class in hex.genmodel.easy
 
OneHotEncoderDomainMapConstructor(GenModel, Map<String, Integer>) - Constructor for class hex.genmodel.easy.OneHotEncoderDomainMapConstructor
 
optionalTitle - Variable in class hex.genmodel.tools.PrintMojo
 
or(double, HashMap<String, String[]>) - Static method in class hex.genmodel.GenMunger
 
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
 
outputFileName - Variable in class hex.genmodel.tools.PrintMojo
 

P

ParameterKey - Class in hex.genmodel.attributes.parameters
 
ParameterKey(String, ParameterKey.Type, String) - Constructor for class hex.genmodel.attributes.parameters.ParameterKey
 
ParameterKey.Type - Enum in hex.genmodel.attributes.parameters
 
params() - Method in class hex.genmodel.GenMunger.Step
 
parse(String) - Static method in class hex.genmodel.MojoPipelineBuilder.MappingSpec
 
parseArgs(String[]) - Method in interface hex.genmodel.tools.MojoPrinter
 
parseArgs(String[]) - Method in class hex.genmodel.tools.PrintMojo
 
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
 
parseEncodingMap() - Method in class hex.genmodel.algos.targetencoder.TargetEncoderMojoReader
 
parseModelJson(MojoReaderBackend) - Static method in class hex.genmodel.attributes.ModelJsonReader
 
ParseTime - Class in water.util
 
ParseTime() - Constructor for class water.util.ParseTime
 
ParseUtils - Class in hex.genmodel.utils
Helper function for parsing the serialized model.
ParseUtils() - Constructor for class hex.genmodel.utils.ParseUtils
 
PCAMojoModel - Class in hex.genmodel.algos.pca
 
PCAMojoModel(String[], String[][], String) - Constructor for class hex.genmodel.algos.pca.PCAMojoModel
 
PCAMojoReader - Class in hex.genmodel.algos.pca
 
PCAMojoReader() - Constructor for class hex.genmodel.algos.pca.PCAMojoReader
 
pid - Variable in class hex.genmodel.algos.tree.SharedTreeMojoModel.AuxInfo
 
polynomialProduct(double[], double[]) - Static method in class hex.genmodel.algos.gam.GamUtilsISplines
This method performs the multiplication of two polynomials where the polynomials are given as a double array.
position() - Method in class hex.genmodel.utils.ByteBufferWrapper
 
postInit() - Method in class hex.genmodel.algos.isoforextended.ExtendedIsolationForestMojoModel
 
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(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 Anomaly Detection 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(RowData) - Method in class hex.genmodel.easy.EasyPredictModelWrapper
 
predictContributions(RowData, int, int, boolean) - Method in class hex.genmodel.easy.EasyPredictModelWrapper
Calculate and sort shapley values.
PredictContributions - Interface in hex.genmodel
 
PredictContributionsFactory - Interface in hex.genmodel
MOJO Models that can calculate SHAP Values (contributions) should implement this interface
predictCoxPH(RowData, double) - Method in class hex.genmodel.easy.EasyPredictModelWrapper
 
predictCoxPH(RowData) - Method in class hex.genmodel.easy.EasyPredictModelWrapper
 
PredictCsv - Class in hex.genmodel.tools
Simple driver program for reading a CSV file and making predictions.
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
 
PredictException(Throwable) - Constructor for exception hex.genmodel.easy.exception.PredictException
 
PredictException(String, Throwable) - Constructor for exception hex.genmodel.easy.exception.PredictException
 
predictions - Variable in class hex.genmodel.easy.prediction.UpliftBinomialModelPrediction
 
predictKLime(RowData) - Method in class hex.genmodel.easy.EasyPredictModelWrapper
 
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.
predictRaw(RowData, double) - Method in class hex.genmodel.easy.EasyPredictModelWrapper
Make a prediction on a new data point.
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.
predictTargetEncoding(RowData) - Method in class hex.genmodel.easy.EasyPredictModelWrapper
Perform target encoding based on TargetEncoderMojoModel
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
 
predictUpliftBinomial(RowData) - Method in class hex.genmodel.easy.EasyPredictModelWrapper
Make a prediction on a new data point using Uplift Binomial model.
predictWord2Vec(String[]) - Method in class hex.genmodel.easy.EasyPredictModelWrapper
Calculate an aggregated word-embedding for a given input sentence (sequence of words).
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
 
predL - Variable in class hex.genmodel.algos.tree.SharedTreeMojoModel.AuxInfo
 
predR - Variable in class hex.genmodel.algos.tree.SharedTreeMojoModel.AuxInfo
 
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).
printDot(PrintStream, int, boolean, String, PrintMojo.PrintTreeOptions, boolean) - Method in class hex.genmodel.algos.tree.SharedTreeSubgraph
 
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, boolean) - Constructor for class hex.genmodel.tools.PrintMojo.PrintTreeOptions
 
priorClassDist() - Method in interface hex.genmodel.descriptor.ModelDescriptor
 
priorClassDist() - Method in class hex.genmodel.descriptor.ModelDescriptorBuilder.MojoModelDescriptor
 
priorClassDist() - Method in class hex.genmodel.descriptor.ModelDescriptorBuilder.PojoModelDescriptor
 
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.descriptor.ModelDescriptor
E.g.
projectVersion() - Method in class hex.genmodel.descriptor.ModelDescriptorBuilder.MojoModelDescriptor
 
projectVersion() - Method in class hex.genmodel.descriptor.ModelDescriptorBuilder.PojoModelDescriptor
 
projectVersion() - Method in class water.genmodel.AbstractBuildVersion
 
projectVersion() - Method in class water.genmodel.BuildVersion
 
pTreeOptions - Variable in class hex.genmodel.tools.PrintMojo
 
put(String, EncodingMap) - Method in class hex.genmodel.algos.targetencoder.EncodingMaps
 

Q

QGramComparator - Class in water.util.comparison.string
 
QGramComparator() - Constructor for class water.util.comparison.string.QGramComparator
 
QGramComparator.Formula - Enum in water.util.comparison.string
Represents the different formulas we can use to compute similarity.
QGramComparator.Tokenizer - Enum in water.util.comparison.string
Represents the different ways we can tokenize a string into a set of q-grams for a given q.
qgrams(String, int) - Method in enum water.util.comparison.string.QGramComparator.Tokenizer
 

R

range(int, int) - Static method in class hex.genmodel.utils.ArrayUtils
Provide array from start to end in steps of 1
rank(boolean, double[][]) - Static method in class hex.genmodel.algos.glrm.GlrmMojoModel
 
readAuxInfos(byte[]) - Static method in class hex.genmodel.algos.tree.SharedTreeMojoModel
 
readblob(String) - Method in class hex.genmodel.ModelMojoReader
Retrieve binary data previously saved to the mojo file using `writeblob(key, blob)`.
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.
readIsotonicCalibrator() - Method in class hex.genmodel.ModelMojoReader
 
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.
readLinkFunction(String, DistributionFamily) - Static method in class hex.genmodel.ModelMojoReader
 
readModelData() - Method in class hex.genmodel.algos.coxph.CoxPHMojoReader
 
readModelData() - Method in class hex.genmodel.algos.deeplearning.DeeplearningMojoReader
 
readModelData() - Method in class hex.genmodel.algos.drf.DrfMojoReader
 
readModelData() - Method in class hex.genmodel.algos.gam.GamMojoReader
 
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.isoforextended.ExtendedIsolationForestMojoReader
 
readModelData() - Method in class hex.genmodel.algos.isotonic.IsotonicRegressionMojoReader
 
readModelData() - Method in class hex.genmodel.algos.kmeans.KMeansMojoReader
 
readModelData() - Method in class hex.genmodel.algos.pca.PCAMojoReader
 
readModelData() - Method in class hex.genmodel.algos.svm.SvmMojoReader
 
readModelData() - Method in class hex.genmodel.algos.targetencoder.TargetEncoderMojoReader
 
readModelData() - Method in class hex.genmodel.algos.tree.SharedTreeMojoReader
 
readModelData() - Method in class hex.genmodel.algos.upliftdrf.UpliftDrfMojoReader
 
readModelData() - Method in class hex.genmodel.algos.word2vec.Word2VecMojoReader
 
readModelData() - Method in class hex.genmodel.ModelMojoReader
 
readModelData() - Method in class hex.genmodel.MultiModelMojoReader
 
readModelSpecificAttributes() - Method in class hex.genmodel.algos.deeplearning.DeeplearningMojoReader
 
readModelSpecificAttributes() - Method in class hex.genmodel.algos.glm.GlmMojoReader
 
readModelSpecificAttributes() - Method in class hex.genmodel.algos.tree.SharedTreeMojoReader
 
readModelSpecificAttributes() - Method in class hex.genmodel.ModelMojoReader
 
readParentModelData() - Method in class hex.genmodel.algos.ensemble.StackedEnsembleMojoReader
 
readParentModelData() - Method in class hex.genmodel.algos.klime.KLimeMojoReader
 
readParentModelData() - Method in class hex.genmodel.algos.pipeline.MojoPipelineReader
 
readParentModelData() - Method in class hex.genmodel.algos.rulefit.RuleFitMojoReader
 
readParentModelData() - Method in class hex.genmodel.MultiModelMojoReader
 
readRectangularDoubleArray(String, int, int) - Method in class hex.genmodel.ModelMojoReader
Reads an two dimensional array written by hex.ModelMojoWriter#writeRectangularDoubleArray method.
readRectangularDoubleArray(String) - Method in class hex.genmodel.ModelMojoReader
Reads an two dimensional array written by hex.ModelMojoWriter#writeRectangularDoubleArray method Dimensions of the array are read from the mojo.
readReproducibilityInformation() - Method in class hex.genmodel.ModelMojoReader
 
readStringArray(String, int) - Method in class hex.genmodel.ModelMojoReader
 
readStringArrays(int, String) - Method in class hex.genmodel.ModelMojoReader
 
readTable(JsonObject, String) - Static method in class hex.genmodel.attributes.ModelJsonReader
Extracts a Table from H2O's model serialized into JSON.
readTableArray(JsonObject, String) - Static method in class hex.genmodel.attributes.ModelJsonReader
Extracts a Table array from H2O's model serialized into JSON.
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.
reasonCodes - Variable in class hex.genmodel.easy.prediction.KLimeModelPrediction
Array of reason codes.
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
 
required - Variable in class hex.genmodel.attributes.parameters.ModelParameter
 
requiresOffset() - Method in class hex.genmodel.GenModel
 
rightChild - Variable in class hex.genmodel.algos.tree.SharedTreeNode
 
rightChildIndex(int) - Static method in class hex.genmodel.algos.isoforextended.ExtendedIsolationForestMojoModel
 
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.attributes.Table
 
RowToRawDataConverter - Class in hex.genmodel.easy
This class is intended to transform a RowData instance - for which we want to get prediction to - into a raw array
RowToRawDataConverter(GenModel, Map<String, Integer>, Map<Integer, CategoricalEncoder>, EasyPredictModelWrapper.ErrorConsumer, EasyPredictModelWrapper.Config) - Constructor for class hex.genmodel.easy.RowToRawDataConverter
 
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
RuleFitMojoModel - Class in hex.genmodel.algos.rulefit
 
RuleFitMojoModel.ModelType - Enum in hex.genmodel.algos.rulefit
 
RuleFitMojoReader - Class in hex.genmodel.algos.rulefit
 
RuleFitMojoReader() - Constructor for class hex.genmodel.algos.rulefit.RuleFitMojoReader
 
run() - Method in interface hex.genmodel.tools.MojoPrinter
 
run() - Method in class hex.genmodel.tools.PredictCsv
 
run() - Method in class hex.genmodel.tools.PrintMojo
 

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
scaleInPlace(double[], double[], double[]) - Static method in class hex.genmodel.GenMunger
 
score(double, double, double, double[], double[]) - Static method in class hex.genmodel.algos.isotonic.IsotonicRegressionUtils
 
score - Variable in class hex.genmodel.easy.prediction.AnomalyDetectionPrediction
The raw number that an algorithm is using to count final anomaly score.
score0(double[], double[]) - Method in class hex.genmodel.algos.coxph.CoxPHMojoModel
 
score0(double[], double, double[]) - Method in class hex.genmodel.algos.coxph.CoxPHMojoModel
 
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.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[]) - Method in class hex.genmodel.algos.gam.GamMojoModelBase
 
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, double[]) - Method in class hex.genmodel.algos.glm.GlmMojoModel
 
score0(double[], double[]) - Method in class hex.genmodel.algos.glm.GlmMojoModelBase
 
score0(double[], double, double[]) - Method in class hex.genmodel.algos.glm.GlmMultinomialMojoModel
 
score0(double[], double, double[]) - Method in class hex.genmodel.algos.glm.GlmOrdinalMojoModel
 
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.isoforextended.ExtendedIsolationForestMojoModel
 
score0(double[], double, double[]) - Method in class hex.genmodel.algos.isoforextended.ExtendedIsolationForestMojoModel
 
score0(double[], double[]) - Method in class hex.genmodel.algos.isotonic.IsotonicRegressionMojoModel
 
score0(double[], double[]) - Method in class hex.genmodel.algos.klime.KLimeMojoModel
 
score0(double[], double[]) - Method in class hex.genmodel.algos.kmeans.KMeansMojoModel
 
score0(double[], double[]) - Method in class hex.genmodel.algos.pca.PCAMojoModel
 
score0(double[], double[]) - Method in class hex.genmodel.algos.pipeline.MojoPipeline
 
score0(double[]) - Method in interface hex.genmodel.algos.psvm.SupportVectorScorer
 
score0(double[], double[]) - Method in class hex.genmodel.algos.rulefit.RuleFitMojoModel
 
score0(double[], double[]) - Method in class hex.genmodel.algos.svm.SvmMojoModel
 
score0(double[], double[]) - Method in class hex.genmodel.algos.targetencoder.TargetEncoderMojoModel
 
score0(double[], double[]) - Method in class hex.genmodel.algos.upliftdrf.UpliftDrfMojoModel
 
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.
ScoreIsolationTree - Interface in hex.genmodel.algos.tree
 
ScoreIsolationTree0 - Class in hex.genmodel.algos.tree
 
ScoreIsolationTree0() - Constructor for class hex.genmodel.algos.tree.ScoreIsolationTree0
 
ScorerFactory - Class in hex.genmodel.algos.psvm
 
ScorerFactory() - Constructor for class hex.genmodel.algos.psvm.ScorerFactory
 
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(byte[], double[]) - Method in interface hex.genmodel.algos.tree.ScoreIsolationTree
 
scoreTree(byte[], double[]) - Method in class hex.genmodel.algos.tree.ScoreIsolationTree0
 
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(byte[], double[]) - Static method in class hex.genmodel.algos.isoforextended.ExtendedIsolationForestMojoModel
 
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.descriptor.ModelDescriptor
Domains of categorical features.
scoringDomains() - Method in class hex.genmodel.descriptor.ModelDescriptorBuilder.MojoModelDescriptor
 
scoringDomains() - Method in class hex.genmodel.descriptor.ModelDescriptorBuilder.PojoModelDescriptor
 
SerializedName - Annotation Type in hex.genmodel.attributes
 
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
 
setCollectUnseenCategoricals(boolean) - Method in class hex.genmodel.easy.error.CountingErrorConsumer.Config
 
setColName(String) - Method in class hex.genmodel.algos.tree.SharedTreeNode
 
setComparator(StringComparator) - Method in class water.util.comparison.string.JaccardIndexComparator
 
setConstNChildCoeffs(double[], int) - Method in class hex.genmodel.algos.gam.NBSplinesTypeI
 
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
 
setEncodings(EncodingMaps) - Method in class hex.genmodel.algos.targetencoder.TargetEncoderMojoModel
 
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
 
setFormula(LongestCommonSubstring.Formula) - Method in class water.util.comparison.string.LongestCommonSubstring
 
setFormula(QGramComparator.Formula) - Method in class water.util.comparison.string.QGramComparator
Tells the comparator what formula to use to compute the actual similarity.
setGain(float) - Method in class hex.genmodel.algos.tree.SharedTreeNode
 
setGLRMIterNumber(int) - Method in class hex.genmodel.easy.EasyPredictModelWrapper.Config
 
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
 
setLeftward(boolean) - Method in class hex.genmodel.algos.tree.SharedTreeNode
 
setMinimumLength(int) - Method in class water.util.comparison.string.LongestCommonSubstring
 
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
 
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
 
setQ(int) - Method in class water.util.comparison.string.QGramComparator
Sets the value of q, that is, the size of the q-grams.
setSplitValue(float) - Method in class hex.genmodel.algos.tree.SharedTreeNode
 
setSquaredError(float) - Method in class hex.genmodel.algos.tree.SharedTreeNode
 
setTokenizer(QGramComparator.Tokenizer) - Method in class water.util.comparison.string.QGramComparator
Tells the comparator what tokenizer to use to produce q-grams.
setUseExtendedOutput(boolean) - Method in class hex.genmodel.easy.EasyPredictModelWrapper.Config
Specify whether to include additional metadata in the prediction output.
setUseExternalEncoding(boolean) - Method in class hex.genmodel.easy.EasyPredictModelWrapper.Config
Allows to switch on/off applying categorical encoding in EasyPredictModelWrapper.
setWeight(float) - Method in class hex.genmodel.algos.tree.SharedTreeNode
 
shapleyContribution - Variable in class hex.genmodel.attributes.parameters.FeatureContribution
 
SharedTreeContributionsPredictor(SharedTreeMojoModel, TreeSHAPPredictor<double[]>) - Constructor for class hex.genmodel.algos.tree.SharedTreeMojoModelWithContributions.SharedTreeContributionsPredictor
 
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.
SharedTreeModelAttributes - Class in hex.genmodel.attributes
 
SharedTreeModelAttributes(JsonObject, MojoModel) - Constructor for class hex.genmodel.attributes.SharedTreeModelAttributes
 
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(String[], String[][], String, String) - Constructor for class hex.genmodel.algos.tree.SharedTreeMojoModel
 
SharedTreeMojoModel.AuxInfo - Class in hex.genmodel.algos.tree
 
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
 
SharedTreeMojoModelWithContributions - Class in hex.genmodel.algos.tree
 
SharedTreeMojoModelWithContributions(String[], String[][], String) - Constructor for class hex.genmodel.algos.tree.SharedTreeMojoModelWithContributions
 
SharedTreeMojoModelWithContributions.SharedTreeContributionsPredictor - 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.
signum(double[]) - Static method in class hex.genmodel.utils.ArrayUtils
 
similarity(String, String) - Static method in class water.util.comparison.string.H2OJaroWinklerComparator
Returns normalized score, with 0.0 meaning no similarity at all, and 1.0 meaning full equality.
sin(double, HashMap<String, String[]>) - Static method in class hex.genmodel.GenMunger
 
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
 
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
 
sort(int[], float[], int, int, boolean, int) - 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[], float[], int, int, boolean, int, 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
 
soundex(String) - Static method in class water.util.comparison.string.SoundexComparator
Produces the Soundex key for the given string.
SoundexComparator - Class in water.util.comparison.string
 
SoundexComparator() - Constructor for class water.util.comparison.string.SoundexComparator
 
split(String) - Static method in class water.util.comparison.string.StringUtils
 
sqErrL - Variable in class hex.genmodel.algos.tree.SharedTreeMojoModel.AuxInfo
 
sqErrR - Variable in class hex.genmodel.algos.tree.SharedTreeMojoModel.AuxInfo
 
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
 
StringComparator - Interface in water.util.comparison.string
 
StringComparatorFactory - Class in water.util.comparison.string
 
StringComparatorFactory() - Constructor for class water.util.comparison.string.StringComparatorFactory
 
StringDecisionPathTracker() - Constructor for class hex.genmodel.algos.tree.SharedTreeMojoModel.StringDecisionPathTracker
 
StringEscapeUtils - Class in hex.genmodel.utils
 
StringEscapeUtils() - Constructor for class hex.genmodel.utils.StringEscapeUtils
 
StringPair - Class in hex.genmodel.attributes.parameters
 
StringPair(String, String) - Constructor for class hex.genmodel.attributes.parameters.StringPair
 
StringUtils - Class in water.util.comparison.string
 
StringUtils() - Constructor for class water.util.comparison.string.StringUtils
 
strsplit(String, HashMap<String, String[]>) - Static method in class hex.genmodel.GenMunger
 
subAndMul(double[], double[], double[]) - Static method in class hex.genmodel.utils.ArrayUtils
 
subgraphArray - Variable in class hex.genmodel.algos.tree.SharedTreeGraph
 
subgraphNumber - Variable in class hex.genmodel.algos.tree.SharedTreeSubgraph
 
subtract(int[], int) - Static method in class hex.genmodel.utils.ArrayUtils
 
subtract(int[], int[]) - Static method in class hex.genmodel.utils.ArrayUtils
 
sumCoeffs(double[][], double[][], double[][]) - Static method in class hex.genmodel.algos.gam.GamUtilsISplines
Perform sum of two polynomials resulting in a double[] representing the result of the summation.
sumNBSpline(int, double) - Method in class hex.genmodel.algos.gam.ISplines
 
supportsFormat(MojoPrinter.Format) - Method in interface hex.genmodel.tools.MojoPrinter
 
supportsFormat(MojoPrinter.Format) - Method in class hex.genmodel.tools.PrintMojo
 
SupportVectorScorer - Interface in hex.genmodel.algos.psvm
 
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.attributes
A two-dimensional table capable of containing generic values in each cell.
Table(String, String, String[], String[], Table.ColumnType[], String, String[], Object[][]) - Constructor for class hex.genmodel.attributes.Table
 
Table.ColumnType - Enum in hex.genmodel.attributes
 
TanhDropoutOut() - Constructor for class hex.genmodel.algos.deeplearning.ActivationUtils.TanhDropoutOut
 
TanhOut() - Constructor for class hex.genmodel.algos.deeplearning.ActivationUtils.TanhOut
 
TargetEncoderMojoModel - Class in hex.genmodel.algos.targetencoder
 
TargetEncoderMojoModel(String[], String[][], String) - Constructor for class hex.genmodel.algos.targetencoder.TargetEncoderMojoModel
 
TargetEncoderMojoReader - Class in hex.genmodel.algos.targetencoder
 
TargetEncoderMojoReader() - Constructor for class hex.genmodel.algos.targetencoder.TargetEncoderMojoReader
 
TargetEncoderPrediction - Class in hex.genmodel.easy.prediction
 
TargetEncoderPrediction() - Constructor for class hex.genmodel.easy.prediction.TargetEncoderPrediction
 
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.descriptor.ModelDescriptor
 
timestamp() - Method in class hex.genmodel.descriptor.ModelDescriptorBuilder.MojoModelDescriptor
 
timestamp() - Method in class hex.genmodel.descriptor.ModelDescriptorBuilder.PojoModelDescriptor
 
TmpMojoReaderBackend - Class in hex.genmodel
 
TmpMojoReaderBackend(File) - Constructor for class hex.genmodel.TmpMojoReaderBackend
 
tmpOutputFileName - Variable in class hex.genmodel.tools.PrintMojo
 
to() - Method in class hex.genmodel.algos.targetencoder.ColumnsMapping
 
toInputRow(double[]) - Method in class hex.genmodel.algos.tree.ContributionsPredictor
 
toInputRow(double[]) - Method in class hex.genmodel.algos.tree.SharedTreeMojoModelWithContributions.SharedTreeContributionsPredictor
 
toJson() - Method in class hex.genmodel.algos.tree.SharedTreeGraph
 
toJson() - Method in class hex.genmodel.algos.tree.SharedTreeNode
 
tolower(String, HashMap<String, String[]>) - Static method in class hex.genmodel.GenMunger
 
topN(int) - Method in class hex.genmodel.attributes.VariableImportances
 
toPreds() - Method in class hex.genmodel.easy.prediction.AnomalyDetectionPrediction
 
toString() - Method in class hex.genmodel.algos.tree.ConvertTreeOptions
 
toString() - Method in class hex.genmodel.algos.tree.SharedTreeMojoModel.AuxInfo
 
toString() - Method in class hex.genmodel.algos.tree.SharedTreeSubgraph
 
toString() - Method in class hex.genmodel.attributes.parameters.FeatureContribution
 
toString() - Method in class hex.genmodel.attributes.parameters.KeyValue
 
toString() - Method in class hex.genmodel.attributes.parameters.StringPair
 
toString() - Method in class hex.genmodel.easy.BinaryEncoder
 
toString() - Method in class hex.genmodel.easy.EnumLimitedEncoder
 
toString() - Method in class hex.genmodel.easy.OneHotEncoder
 
toString() - Method in class water.genmodel.AbstractBuildVersion
 
toupper(String, HashMap<String, String[]>) - Static method in class hex.genmodel.GenMunger
 
TP_SPLINE_TYPE - Static variable in class hex.genmodel.algos.gam.GamMojoModel
 
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
transformations - Variable in class hex.genmodel.easy.prediction.TargetEncoderPrediction
 
transformRow(double[], int, int, String[], String[][], String[]) - Method in class hex.genmodel.algos.rulefit.MojoRuleEnsemble
 
transformWithTargetEncoding(RowData) - Method in class hex.genmodel.easy.EasyPredictModelWrapper
treatmentColumn() - Method in interface hex.genmodel.descriptor.ModelDescriptor
 
treatmentColumn() - Method in class hex.genmodel.descriptor.ModelDescriptorBuilder.MojoModelDescriptor
 
treatmentColumn() - Method in class hex.genmodel.descriptor.ModelDescriptorBuilder.PojoModelDescriptor
 
TreeBackedMojoModel - Interface in hex.genmodel.algos.tree
 
treeBytes(int, int) - Method in class hex.genmodel.algos.tree.SharedTreeMojoModel
 
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[]) - Constructor for class hex.genmodel.algos.tree.TreeSHAP
 
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
 
TreeSHAPPredictor.Workspace - Interface in hex.genmodel.algos.tree
 
treeToPrint - Variable in class hex.genmodel.tools.PrintMojo
 
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.attributes.parameters.ModelParameter
 
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.
unifyPreds(double[], double, double[]) - Method in class hex.genmodel.algos.upliftdrf.UpliftDrfMojoModel
 
UNKNOWN - Static variable in enum water.util.JavaVersionUtils
 
UNKNOWN_VERSION - Static variable in class water.genmodel.AbstractBuildVersion
 
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
 
updateAFunc(double[], double, int, double[], double[]) - Static method in class hex.genmodel.algos.gam.GamUtilsCubicRegression
 
updateFMatrixCFunc(double[], double, int, double[], double[], double[][]) - Static method in class hex.genmodel.algos.gam.GamUtilsCubicRegression
 
UpliftBinomialModelPrediction - Class in hex.genmodel.easy.prediction
 
UpliftBinomialModelPrediction() - Constructor for class hex.genmodel.easy.prediction.UpliftBinomialModelPrediction
 
UpliftDrfMojoModel - Class in hex.genmodel.algos.upliftdrf
 
UpliftDrfMojoModel(String[], String[][], String, String) - Constructor for class hex.genmodel.algos.upliftdrf.UpliftDrfMojoModel
 
UpliftDrfMojoReader - Class in hex.genmodel.algos.upliftdrf
 
UpliftDrfMojoReader() - Constructor for class hex.genmodel.algos.upliftdrf.UpliftDrfMojoReader
 
usage() - Static method in class hex.genmodel.tools.PrintMojo
 
useUnifiedLogging() - Method in enum water.util.JavaVersionUtils
 
uuid() - Method in interface hex.genmodel.descriptor.ModelDescriptor
 
uuid() - Method in class hex.genmodel.descriptor.ModelDescriptorBuilder.MojoModelDescriptor
 
uuid() - Method in class hex.genmodel.descriptor.ModelDescriptorBuilder.PojoModelDescriptor
 

V

validateArgs() - Method in class hex.genmodel.tools.PrintMojo
 
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.attributes.parameters.KeyValue
 
value - Variable in class hex.genmodel.easy.prediction.CoxPHModelPrediction
This value may be Double.NaN, which means NA (this will happen with CoxPH, for example, if one of the input values for a new data point is NA).
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.psvm.KernelType
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum hex.genmodel.algos.rulefit.MojoCondition.Operator
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum hex.genmodel.algos.rulefit.MojoCondition.Type
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum hex.genmodel.algos.rulefit.RuleFitMojoModel.ModelType
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.attributes.parameters.ParameterKey.Type
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum hex.genmodel.attributes.Table.ColumnType
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum hex.genmodel.CategoricalEncoding
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.tools.MojoPrinter.Format
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.genmodel.utils.LinkFunctionType
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.
valueOf(String) - Static method in enum water.util.comparison.string.LongestCommonSubstring.Formula
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum water.util.comparison.string.QGramComparator.Formula
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum water.util.comparison.string.QGramComparator.Tokenizer
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum water.util.JavaVersionUtils
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.psvm.KernelType
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum hex.genmodel.algos.rulefit.MojoCondition.Operator
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum hex.genmodel.algos.rulefit.MojoCondition.Type
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum hex.genmodel.algos.rulefit.RuleFitMojoModel.ModelType
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 - Variable in class hex.genmodel.attributes.parameters.ModelParameter
 
values() - Static method in enum hex.genmodel.attributes.parameters.ParameterKey.Type
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum hex.genmodel.attributes.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.CategoricalEncoding
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.tools.MojoPrinter.Format
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.genmodel.utils.LinkFunctionType
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.
values() - Static method in enum water.util.comparison.string.LongestCommonSubstring.Formula
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum water.util.comparison.string.QGramComparator.Formula
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum water.util.comparison.string.QGramComparator.Tokenizer
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum water.util.JavaVersionUtils
Returns an array containing the constants of this enum type, in the order they are declared.
VariableImportances - Class in hex.genmodel.attributes
Represents model's variables and their relative importances in the model.
VariableImportances(String[], double[]) - Constructor for class hex.genmodel.attributes.VariableImportances
 
VariableImportancesHolder - Interface in hex.genmodel.attributes.parameters
 
varimp() - Method in class hex.genmodel.easy.EasyPredictModelWrapper
See EasyPredictModelWrapper.varimp(int) return descending sorted by relative importance array of all variables in the model
varimp(int) - Method in class hex.genmodel.easy.EasyPredictModelWrapper
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).
water.util.comparison.string - package water.util.comparison.string
 
weightL - Variable in class hex.genmodel.algos.tree.SharedTreeMojoModel.AuxInfo
 
weightR - Variable in class hex.genmodel.algos.tree.SharedTreeMojoModel.AuxInfo
 
weightsColumn() - Method in interface hex.genmodel.descriptor.ModelDescriptor
 
weightsColumn() - Method in class hex.genmodel.descriptor.ModelDescriptorBuilder.MojoModelDescriptor
 
weightsColumn() - Method in class hex.genmodel.descriptor.ModelDescriptorBuilder.PojoModelDescriptor
 
withTreeConsistencyCheckEnabled() - Method in class hex.genmodel.algos.tree.ConvertTreeOptions
Performs a self-check on each converted tree.
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
 
write(IsotonicCalibrator) - Method in class hex.genmodel.AbstractMojoWriter
 
writeblob(String, byte[]) - Method in class hex.genmodel.AbstractMojoWriter
Write a binary file to the MOJO archive.
writeDomains() - Method in class hex.genmodel.AbstractMojoWriter
Create files containing domain definitions for each categorical column.
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.
writelnkv(String, String) - Method in class hex.genmodel.AbstractMojoWriter
 
writeModelData() - Method in class hex.genmodel.AbstractMojoWriter
Override in subclasses to write the actual model data.
writeModelData() - Method in class hex.genmodel.MojoPipelineWriter
 
writeStringArray(String[], String) - Method in class hex.genmodel.AbstractMojoWriter
 
writeTo(ZipOutputStream) - Method in class hex.genmodel.AbstractMojoWriter
 
writeTo(ZipOutputStream, String) - Method in class hex.genmodel.AbstractMojoWriter
 
writeUpdatedAuxInfos(byte[], Map<Integer, SharedTreeMojoModel.AuxInfo>, ByteBuffer) - Static method in class hex.genmodel.algos.tree.SharedTreeMojoModel
 

_

__INTERNAL_MAX_TREE_DEPTH - Static variable in class hex.genmodel.algos.tree.SharedTreeMojoModel
 
_a - Variable in class hex.genmodel.attributes.parameters.StringPair
 
_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
 
_aecu_table - Variable in class hex.genmodel.attributes.metrics.MojoModelMetricsBinomialUplift
 
_AIC - Variable in class hex.genmodel.attributes.metrics.MojoModelMetricsBinomialGLM
 
_AIC - Variable in class hex.genmodel.attributes.metrics.MojoModelMetricsMultinomialGLM
 
_AIC - Variable in class hex.genmodel.attributes.metrics.MojoModelMetricsOrdinalGLM
 
_AIC - Variable in class hex.genmodel.attributes.metrics.MojoModelMetricsRegressionGLM
 
_algoName - Variable in class hex.genmodel.MojoModel
 
_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
 
_atc - Variable in class hex.genmodel.attributes.metrics.MojoModelMetricsBinomialUplift
 
_ate - Variable in class hex.genmodel.attributes.metrics.MojoModelMetricsBinomialUplift
 
_att - Variable in class hex.genmodel.attributes.metrics.MojoModelMetricsBinomialUplift
 
_auc - Variable in class hex.genmodel.attributes.metrics.MojoModelMetricsBinomial
 
_auuc - Variable in class hex.genmodel.attributes.metrics.MojoModelMetricsBinomialUplift
 
_auuc_table - Variable in class hex.genmodel.attributes.metrics.MojoModelMetricsBinomialUplift
 
_b - Variable in class hex.genmodel.attributes.parameters.StringPair
 
_balanceClasses - Variable in class hex.genmodel.MojoModel
 
_basisFuncs - Variable in class hex.genmodel.algos.gam.NBSplinesTypeII
 
_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.glrm.GlrmMojoModel
 
_catOffsets - Variable in class hex.genmodel.algos.pca.PCAMojoModel
 
_cats - Variable in class hex.genmodel.algos.deeplearning.DeeplearningMojoModel
 
_catThreshold - Variable in class hex.genmodel.algos.rulefit.MojoCondition
 
_cm - Variable in class hex.genmodel.attributes.metrics.MojoModelMetricsOrdinal
 
_coefficients_table - Variable in class hex.genmodel.attributes.ModelAttributesGLM
 
_columnName - Variable in class hex.genmodel.MojoPipelineBuilder.MappingSpec
 
_columnNameToIdx - Variable in class hex.genmodel.algos.targetencoder.TargetEncoderMojoModel
 
_commonConst - Variable in class hex.genmodel.algos.gam.NBSplinesTypeI
 
_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
Deprecated.
_concordance - Variable in class hex.genmodel.attributes.metrics.MojoModelMetricsRegressionCoxPH
 
_concordant - Variable in class hex.genmodel.attributes.metrics.MojoModelMetricsRegressionCoxPH
 
_confusion_matrix - Variable in class hex.genmodel.attributes.metrics.MojoModelMetricsBinomial
 
_confusion_matrix - Variable in class hex.genmodel.attributes.metrics.MojoModelMetricsMultinomial
 
_custom_metric_name - Variable in class hex.genmodel.attributes.metrics.MojoModelMetrics
 
_custom_metric_value - Variable in class hex.genmodel.attributes.metrics.MojoModelMetrics
 
_defaultThreshold - Variable in class hex.genmodel.MojoModel
 
_description - Variable in class hex.genmodel.attributes.metrics.MojoModelMetrics
 
_discordant - Variable in class hex.genmodel.attributes.metrics.MojoModelMetricsRegressionCoxPH
 
_domain - Variable in class hex.genmodel.attributes.metrics.MojoModelMetricsOrdinal
 
_domains - Variable in class hex.genmodel.GenModel
Categorical (factor/enum) mappings, per column.
_eigenVectorSize - Variable in class hex.genmodel.algos.pca.PCAMojoModel
 
_family - Variable in class hex.genmodel.algos.deeplearning.DeeplearningMojoModel
 
_family - Variable in class hex.genmodel.algos.gbm.GbmMojoModel
 
_featureName - Variable in class hex.genmodel.algos.rulefit.MojoCondition
 
_foldColumn - Variable in class hex.genmodel.GenModel
 
_fontSize - Variable in class hex.genmodel.tools.PrintMojo.PrintTreeOptions
 
_frame_checksum - Variable in class hex.genmodel.attributes.metrics.MojoModelMetrics
 
_gains_lift_table - Variable in class hex.genmodel.attributes.metrics.MojoModelMetricsBinomial
 
_gamma - Variable in class hex.genmodel.algos.psvm.KernelParameters
 
_gammax - Variable in class hex.genmodel.algos.glrm.GlrmMojoModel
 
_genmodel_encoding - Variable in class hex.genmodel.algos.deeplearning.DeeplearningMojoModel
 
_genmodel_encoding - Variable in class hex.genmodel.algos.tree.SharedTreeMojoModel
 
_gini - Variable in class hex.genmodel.attributes.metrics.MojoModelMetricsBinomial
 
_h2oVersion - Variable in class hex.genmodel.MojoModel
 
_hit_ratio_table - Variable in class hex.genmodel.attributes.metrics.MojoModelMetricsOrdinal
 
_hit_ratios - Variable in class hex.genmodel.attributes.metrics.MojoModelMetricsMultinomial
 
_hit_ratios - Variable in class hex.genmodel.attributes.metrics.MojoModelMetricsOrdinal
 
_importances - Variable in class hex.genmodel.attributes.VariableImportances
 
_imputeMeans - Variable in class hex.genmodel.algos.deeplearning.DeeplearningMojoModel
 
_inencMapping - Variable in class hex.genmodel.algos.targetencoder.TargetEncoderMojoModel
 
_inflectionPoint - Variable in class hex.genmodel.algos.targetencoder.TargetEncoderMojoModel
 
_init - Variable in class hex.genmodel.algos.glrm.GlrmMojoModel
 
_init_f - Variable in class hex.genmodel.algos.gbm.GbmMojoModel
 
_inoutMapping - Variable in class hex.genmodel.algos.targetencoder.TargetEncoderMojoModel
 
_inputs - Variable in class hex.genmodel.algos.deeplearning.NeuralNetwork
 
_inSize - Variable in class hex.genmodel.algos.deeplearning.NeuralNetwork
 
_internal - Variable in class hex.genmodel.tools.PrintMojo.PrintTreeOptions
 
_isotonic_calibrator - Variable in class hex.genmodel.algos.isotonic.IsotonicRegressionMojoModel
 
_isotonic_calibrator - Variable in class hex.genmodel.algos.tree.SharedTreeMojoModel
For calibrating using Isotonic Regression
_iterNumber - Variable in class hex.genmodel.algos.glrm.GlrmMojoModel
 
_k - Variable in class hex.genmodel.algos.pca.PCAMojoModel
 
_knots - Variable in class hex.genmodel.algos.gam.NBSplinesTypeII.BSplineBasis
 
_languageCatThreshold - Variable in class hex.genmodel.algos.rulefit.MojoCondition
 
_languageCondition - Variable in class hex.genmodel.algos.rulefit.MojoCondition
 
_link_function - Variable in class hex.genmodel.algos.gam.GamMojoModelBase
 
_link_function - Variable in class hex.genmodel.algos.gbm.GbmMojoModel
 
_loglikelihood - Variable in class hex.genmodel.attributes.metrics.MojoModelMetricsBinomialGLM
 
_loglikelihood - Variable in class hex.genmodel.attributes.metrics.MojoModelMetricsMultinomialGLM
 
_loglikelihood - Variable in class hex.genmodel.attributes.metrics.MojoModelMetricsOrdinalGLM
 
_loglikelihood - Variable in class hex.genmodel.attributes.metrics.MojoModelMetricsRegressionGLM
 
_logloss - Variable in class hex.genmodel.attributes.metrics.MojoModelMetricsBinomial
 
_logloss - Variable in class hex.genmodel.attributes.metrics.MojoModelMetricsMultinomial
 
_logloss - Variable in class hex.genmodel.attributes.metrics.MojoModelMetricsOrdinal
 
_losses - Variable in class hex.genmodel.algos.glrm.GlrmMojoModel
 
_m - Variable in class hex.genmodel.easy.EigenEncoderColumnMapper
 
_m - Variable in class hex.genmodel.easy.EnumEncoderColumnMapper
 
_mae - Variable in class hex.genmodel.attributes.metrics.MojoModelMetrics
 
_max_criteria_and_metric_scores - Variable in class hex.genmodel.attributes.metrics.MojoModelMetricsBinomial
 
_max_x - Variable in class hex.genmodel.algos.isotonic.IsotonicCalibrator
 
_maxK - Variable in class hex.genmodel.algos.deeplearning.NeuralNetwork
 
_mean_normalized_score - Variable in class hex.genmodel.attributes.metrics.MojoModelMetricsAnomaly
 
_mean_per_class_error - Variable in class hex.genmodel.attributes.metrics.MojoModelMetricsBinomial
 
_mean_per_class_error - Variable in class hex.genmodel.attributes.metrics.MojoModelMetricsMultinomial
 
_mean_per_class_error - Variable in class hex.genmodel.attributes.metrics.MojoModelMetricsOrdinal
 
_mean_residual_deviance - Variable in class hex.genmodel.attributes.metrics.MojoModelMetricsRegression
 
_mean_score - Variable in class hex.genmodel.attributes.metrics.MojoModelMetricsAnomaly
 
_min_x - Variable in class hex.genmodel.algos.isotonic.IsotonicCalibrator
 
_mini_batch_size - Variable in class hex.genmodel.algos.deeplearning.DeeplearningMojoModel
 
_model - Variable in class hex.genmodel.ModelMojoReader
 
_model_category - Variable in class hex.genmodel.attributes.metrics.MojoModelMetrics
 
_modelAlias - Variable in class hex.genmodel.MojoPipelineBuilder.MappingSpec
 
_modelAttributes - Variable in class hex.genmodel.MojoModel
 
_modelClassDistrib - Variable in class hex.genmodel.MojoModel
 
_modelDescriptor - Variable in class hex.genmodel.MojoModel
 
_mojo_version - Variable in class hex.genmodel.MojoModel
 
_MSE - Variable in class hex.genmodel.attributes.metrics.MojoModelMetrics
 
_multinomial_auc - Variable in class hex.genmodel.attributes.metrics.MojoModelMetricsMultinomial
 
_multinomial_aucpr - Variable in class hex.genmodel.attributes.metrics.MojoModelMetricsMultinomial
 
_names - Variable in class hex.genmodel.GenModel
Column names; last is response for supervised models
_NAsIncluded - Variable in class hex.genmodel.algos.rulefit.MojoCondition
 
_ncats - Variable in class hex.genmodel.algos.glrm.GlrmMojoModel
 
_ncats - Variable in class hex.genmodel.algos.pca.PCAMojoModel
 
_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
 
_nKnots - Variable in class hex.genmodel.algos.gam.NBSplinesTypeI
 
_nnums - Variable in class hex.genmodel.algos.glrm.GlrmMojoModel
 
_nnums - Variable in class hex.genmodel.algos.pca.PCAMojoModel
 
_nobs - Variable in class hex.genmodel.attributes.metrics.MojoModelMetrics
 
_nodeCoeffs - Variable in class hex.genmodel.algos.gam.NBSplinesTypeI
 
_nodeIds - Variable in class hex.genmodel.algos.tree.SharedTreeMojoModel.LeafNodeAssignments
 
_normalized_auuc - Variable in class hex.genmodel.attributes.metrics.MojoModelMetricsBinomialUplift
 
_normmul - Variable in class hex.genmodel.algos.deeplearning.DeeplearningMojoModel
 
_normMul - Variable in class hex.genmodel.algos.glrm.GlrmMojoModel
 
_normMul - Variable in class hex.genmodel.algos.pca.PCAMojoModel
 
_normrespmul - Variable in class hex.genmodel.algos.deeplearning.DeeplearningMojoModel
 
_normrespsub - Variable in class hex.genmodel.algos.deeplearning.DeeplearningMojoModel
 
_normsub - Variable in class hex.genmodel.algos.deeplearning.DeeplearningMojoModel
 
_normSub - Variable in class hex.genmodel.algos.glrm.GlrmMojoModel
 
_normSub - Variable in class hex.genmodel.algos.pca.PCAMojoModel
 
_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
 
_nullDegreesOfFreedom - Variable in class hex.genmodel.attributes.metrics.MojoModelMetricsBinomialGLM
 
_nullDegreesOfFreedom - Variable in class hex.genmodel.attributes.metrics.MojoModelMetricsMultinomialGLM
 
_nullDegreesOfFreedom - Variable in class hex.genmodel.attributes.metrics.MojoModelMetricsOrdinalGLM
 
_nullDegreesOfFreedom - Variable in class hex.genmodel.attributes.metrics.MojoModelMetricsRegressionGLM
 
_nullDev - Variable in class hex.genmodel.attributes.metrics.MojoModelMetricsBinomialGLM
 
_nullDev - Variable in class hex.genmodel.attributes.metrics.MojoModelMetricsMultinomialGLM
 
_nullDev - Variable in class hex.genmodel.attributes.metrics.MojoModelMetricsOrdinalGLM
 
_nullDev - Variable in class hex.genmodel.attributes.metrics.MojoModelMetricsRegressionGLM
 
_numAlphaFactors - Variable in class hex.genmodel.algos.glrm.GlrmMojoModel
 
_numIBasis - Variable in class hex.genmodel.algos.gam.ISplines
 
_numLayers - Variable in class hex.genmodel.algos.deeplearning.DeeplearningMojoModel
 
_numLevels - Variable in class hex.genmodel.algos.glrm.GlrmMojoModel
 
_numMBasis - Variable in class hex.genmodel.algos.gam.MSplines
 
_nums - Variable in class hex.genmodel.algos.deeplearning.DeeplearningMojoModel
 
_numThreshold - Variable in class hex.genmodel.algos.rulefit.MojoCondition
 
_offsetColumn - Variable in class hex.genmodel.GenModel
Name of the column with offsets (used for certain types of models).
_operator - Variable in class hex.genmodel.algos.rulefit.MojoCondition
 
_order - Variable in class hex.genmodel.algos.gam.NBSplinesTypeI
 
_order - Variable in class hex.genmodel.algos.gam.NBSplinesTypeII
 
_orig_domain_values - Variable in class hex.genmodel.algos.deeplearning.DeeplearningMojoModel
 
_orig_domain_values - Variable in class hex.genmodel.algos.tree.SharedTreeMojoModel
 
_orig_names - Variable in class hex.genmodel.algos.deeplearning.DeeplearningMojoModel
 
_orig_names - Variable in class hex.genmodel.algos.tree.SharedTreeMojoModel
 
_orig_projection_array - Variable in class hex.genmodel.algos.deeplearning.DeeplearningMojoModel
 
_orig_projection_array - Variable in class hex.genmodel.algos.tree.SharedTreeMojoModel
 
_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
 
_pca_impl - Variable in class hex.genmodel.algos.pca.PCAMojoModel
 
_pca_method - Variable in class hex.genmodel.algos.pca.PCAMojoModel
 
_permutation - Variable in class hex.genmodel.algos.glrm.GlrmMojoModel
 
_permutation - Variable in class hex.genmodel.algos.pca.PCAMojoModel
 
_pr_auc - Variable in class hex.genmodel.attributes.metrics.MojoModelMetricsBinomial
 
_predsIndex - Variable in class hex.genmodel.MojoPipelineBuilder.MappingSpec
 
_priorClassDistrib - Variable in class hex.genmodel.MojoModel
 
_qini - Variable in class hex.genmodel.attributes.metrics.MojoModelMetricsBinomialUplift
 
_r2 - Variable in class hex.genmodel.attributes.metrics.MojoModelMetrics
 
_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
 
_reproducibilityInformation - Variable in class hex.genmodel.MojoModel
 
_resDev - Variable in class hex.genmodel.attributes.metrics.MojoModelMetricsBinomialGLM
 
_resDev - Variable in class hex.genmodel.attributes.metrics.MojoModelMetricsMultinomialGLM
 
_resDev - Variable in class hex.genmodel.attributes.metrics.MojoModelMetricsOrdinalGLM
 
_resDev - Variable in class hex.genmodel.attributes.metrics.MojoModelMetricsRegressionGLM
 
_residualDegreesOfFreedom - Variable in class hex.genmodel.attributes.metrics.MojoModelMetricsBinomialGLM
 
_residualDegreesOfFreedom - Variable in class hex.genmodel.attributes.metrics.MojoModelMetricsMultinomialGLM
 
_residualDegreesOfFreedom - Variable in class hex.genmodel.attributes.metrics.MojoModelMetricsOrdinalGLM
 
_residualDegreesOfFreedom - Variable in class hex.genmodel.attributes.metrics.MojoModelMetricsRegressionGLM
 
_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
 
_RMSE - Variable in class hex.genmodel.attributes.metrics.MojoModelMetrics
 
_root_mean_squared_log_error - Variable in class hex.genmodel.attributes.metrics.MojoModelMetricsRegression
 
_scoring_time - Variable in class hex.genmodel.attributes.metrics.MojoModelMetrics
 
_seed - Variable in class hex.genmodel.algos.glrm.GlrmMojoModel
 
_setDecimalPlace - Variable in class hex.genmodel.tools.PrintMojo.PrintTreeOptions
 
_sigma - Variable in class hex.genmodel.attributes.metrics.MojoModelMetricsOrdinal
 
_sigma - Variable in class hex.genmodel.attributes.metrics.MojoModelMetricsSupervised
 
_smoothing - Variable in class hex.genmodel.algos.targetencoder.TargetEncoderMojoModel
 
_steps - Variable in class hex.genmodel.GenMunger
 
_supervised - Variable in class hex.genmodel.MojoModel
 
_teColumn2HasNAs - Variable in class hex.genmodel.algos.targetencoder.TargetEncoderMojoModel
 
_thresholds - Variable in class hex.genmodel.algos.upliftdrf.UpliftDrfMojoModel
 
_thresholds_and_metric_scores - Variable in class hex.genmodel.attributes.metrics.MojoModelMetricsBinomial
 
_thresholds_and_metric_scores - Variable in class hex.genmodel.attributes.metrics.MojoModelMetricsBinomialUplift
 
_thresholds_x - Variable in class hex.genmodel.algos.isotonic.IsotonicCalibrator
 
_thresholds_y - Variable in class hex.genmodel.algos.isotonic.IsotonicCalibrator
 
_tied_y - Variable in class hex.genmodel.attributes.metrics.MojoModelMetricsRegressionCoxPH
 
_totBasisFuncs - Variable in class hex.genmodel.algos.gam.NBSplinesTypeI
 
_totBasisFuncs - Variable in class hex.genmodel.algos.gam.NBSplinesTypeII
 
_transposed - Variable in class hex.genmodel.algos.glrm.GlrmMojoModel
 
_treatmentColumn - Variable in class hex.genmodel.GenModel
Name of the column determine treatment group, currently only for UpliftDRF models
_units - Variable in class hex.genmodel.algos.deeplearning.DeeplearningMojoModel
 
_use_all_factor_levels - Variable in class hex.genmodel.algos.deeplearning.DeeplearningMojoModel
 
_use_all_factor_levels - Variable in class hex.genmodel.algos.pca.PCAMojoModel
 
_uuid - Variable in class hex.genmodel.MojoModel
 
_variables - Variable in class hex.genmodel.attributes.VariableImportances
 
_weightsAndBias - Variable in class hex.genmodel.algos.deeplearning.DeeplearningMojoModel
 
_weightsAndBias - Variable in class hex.genmodel.algos.deeplearning.NeuralNetwork
 
_withBlending - Variable in class hex.genmodel.algos.targetencoder.TargetEncoderMojoModel
 
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