Index (h2o-genmodel 3.46.0 API)

A B C D E F G H I J K L M N O P Q R S T U V W _

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: See EasyPredictModelWrapper.predict(RowData, ModelCategory)
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: In-situ version of ModelUtils.sampleOOBRows(int, float, Random).
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: Deprecated.
use SharedTreeMojoModel.scoreTree(byte[], double[], boolean, String[][]) instead.
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: Deprecated.
use SharedTreeMojoModel.scoreTree0(byte[], double[], boolean) instead.
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: Deprecated.
use SharedTreeMojoModel.scoreTree1(byte[], double[], boolean) instead.
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: Deprecated.
Use EasyPredictModelWrapper.predictTargetEncoding(RowData) instead.
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: See VariableImportances.topN(int)
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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