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A

AbstractMojoWriter - Class in hex.genmodel
 
AbstractMojoWriter(ModelDescriptor) - Constructor for class hex.genmodel.AbstractMojoWriter
 
AbstractPrediction - Class in hex.genmodel.easy.prediction
Predictions from generated models for individual new data points derive from this class.
AbstractPrediction() - Constructor for class hex.genmodel.easy.prediction.AbstractPrediction
 
ActivationUtils - Class in hex.genmodel.algos.deeplearning
 
ActivationUtils() - Constructor for class hex.genmodel.algos.deeplearning.ActivationUtils
 
ActivationUtils.ActivationFunctions - Interface in hex.genmodel.algos.deeplearning
 
ActivationUtils.ExpRectifierDropoutOut - Class in hex.genmodel.algos.deeplearning
 
ActivationUtils.ExpRectifierOut - Class in hex.genmodel.algos.deeplearning
 
ActivationUtils.LinearOut - Class in hex.genmodel.algos.deeplearning
 
ActivationUtils.MaxoutDropoutOut - Class in hex.genmodel.algos.deeplearning
 
ActivationUtils.MaxoutOut - Class in hex.genmodel.algos.deeplearning
 
ActivationUtils.RectifierDropoutOut - Class in hex.genmodel.algos.deeplearning
 
ActivationUtils.RectifierOut - Class in hex.genmodel.algos.deeplearning
 
ActivationUtils.SoftmaxOut - Class in hex.genmodel.algos.deeplearning
 
ActivationUtils.TanhDropoutOut - Class in hex.genmodel.algos.deeplearning
 
ActivationUtils.TanhOut - Class in hex.genmodel.algos.deeplearning
 
actual_value - Variable in class hex.genmodel.attributes.parameters.ModelParameter
 
add(double, HashMap<String, String[]>) - Static method in class hex.genmodel.GenMunger
 
addMainModel(String, File) - Method in class hex.genmodel.MojoPipelineBuilder
 
addMapping(MojoPipelineBuilder.MappingSpec) - Method in class hex.genmodel.MojoPipelineBuilder
 
addMapping(String, String, int) - Method in class hex.genmodel.MojoPipelineBuilder
 
addMappings(List<MojoPipelineBuilder.MappingSpec>) - Method in class hex.genmodel.MojoPipelineBuilder
 
addModel(String, File) - Method in class hex.genmodel.MojoPipelineBuilder
 
algoFullName() - Method in interface hex.genmodel.descriptor.ModelDescriptor
 
algoName() - Method in interface hex.genmodel.descriptor.ModelDescriptor
 
AnomalyDetectionPrediction - Class in hex.genmodel.easy.prediction
 
AnomalyDetectionPrediction() - Constructor for class hex.genmodel.easy.prediction.AnomalyDetectionPrediction
 
append(String[], String...) - 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
 
ArrayUtils - Class in hex.genmodel.utils
Copied (partially) from water.util.ArrayUtils
ArrayUtils() - Constructor for class hex.genmodel.utils.ArrayUtils
 
asnumeric(String, HashMap<String, String[]>) - Static method in class hex.genmodel.GenMunger
 
AutoEncoderModelPrediction - Class in hex.genmodel.easy.prediction
Data reconstructed by the AutoEncoder model based on a given input.
AutoEncoderModelPrediction() - Constructor for class hex.genmodel.easy.prediction.AutoEncoderModelPrediction
 

B

balanceClasses() - Method in interface hex.genmodel.descriptor.ModelDescriptor
 
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
 
build() - Method in class hex.genmodel.descriptor.ModelDescriptorBuilder
Builds the final instance of ModelDescriptor, using information provided by the serialized model and which corresponding implementations of ModelMojoReader are able to provide.
buildPipeline(File) - Method in class hex.genmodel.MojoPipelineBuilder
 
BuildPipeline - Class in hex.genmodel.tools
 
BuildPipeline() - Constructor for class hex.genmodel.tools.BuildPipeline
 
ByteBufferWrapper - Class in hex.genmodel.utils
Simplified version and drop-in replacement of water.util.AutoBuffer
ByteBufferWrapper(byte[]) - Constructor for class hex.genmodel.utils.ByteBufferWrapper
Read from a fixed byte[]; should not be closed.

C

calculateContributions(double[]) - Method in class hex.genmodel.algos.tree.ContributionsPredictor
 
calculateContributions(R, float[]) - Method in class hex.genmodel.algos.tree.TreeSHAP
 
calculateContributions(R, float[], int, int, Object) - Method in class hex.genmodel.algos.tree.TreeSHAP
 
calculateContributions(R, float[]) - Method in class hex.genmodel.algos.tree.TreeSHAPEnsemble
 
calculateContributions(R, float[], int, int, Object) - Method in class hex.genmodel.algos.tree.TreeSHAPEnsemble
 
calculateContributions(R, float[]) - Method in interface hex.genmodel.algos.tree.TreeSHAPPredictor
 
calculateContributions(R, float[], int, int, Object) - Method in interface hex.genmodel.algos.tree.TreeSHAPPredictor
 
calculateContributions(double[]) - Method in interface hex.genmodel.PredictContributions
Calculate contributions (SHAP values) for a given input row.
calculateReconstructionErrorPerRowData(double[], double[]) - Method in class hex.genmodel.algos.deeplearning.DeeplearningMojoModel
Calculates average reconstruction error (MSE).
calibrateClassProbabilities(PlattScalingMojoHelper.MojoModelWithCalibration, double[]) - Static method in class hex.genmodel.algos.tree.PlattScalingMojoHelper
 
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.
CategoricalEncoder - Interface in hex.genmodel.easy
 
CategoricalEncoding - Enum in hex.genmodel
 
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.
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 exception hex.genmodel.easy.exception.PredictUnknownCategoricalLevelException
 
columnNames() - Method in interface hex.genmodel.descriptor.ModelDescriptor
 
columns() - Method in class hex.genmodel.attributes.Table
 
ColumnSpecifier - Class in hex.genmodel.attributes.parameters
 
ColumnSpecifier(String, String[]) - Constructor for class hex.genmodel.attributes.parameters.ColumnSpecifier
 
compare(Map.Entry<K, V>, Map.Entry<K, V>) - Method in class hex.genmodel.algos.targetencoder.TargetEncoderMojoModel.SortByKeyAssociatedIndex
 
compareTo(Object) - Method in class hex.genmodel.easy.prediction.SortedClassProbability
Comparison implementation for this object type.
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(int, 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
 
containsKey(String) - Method in class hex.genmodel.algos.targetencoder.EncodingMaps
 
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(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
 
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
 
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
 
defaultThreshold() - Method in interface hex.genmodel.descriptor.ModelDescriptor
Default threshold for assigning class labels to the target class.
detail - Variable in class hex.genmodel.tools.PrintMojo
 
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
 
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
 
EncodingMap - Class in hex.genmodel.algos.targetencoder
 
EncodingMap(Map<Integer, int[]>) - Constructor for class hex.genmodel.algos.targetencoder.EncodingMap
 
EncodingMap() - 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
 
entrySet() - Method in class hex.genmodel.algos.targetencoder.EncodingMap
 
entrySet() - Method in 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
 
equalsWithinRecSumErr(double, double, int, double) - Static method in class hex.genmodel.utils.MathUtils
 
ErrorConsumer() - Constructor for class hex.genmodel.easy.EasyPredictModelWrapper.ErrorConsumer
 
escapeNewlines(String) - Static method in class hex.genmodel.utils.StringEscapeUtils
Escapes new line characters of a given string.
escapeQuotes(String) - Static method in class hex.genmodel.algos.tree.SharedTreeNode
 
eval(double[], double, int) - Method in interface hex.genmodel.algos.deeplearning.ActivationUtils.ActivationFunctions
 
eval(double[], double, int) - Method in class hex.genmodel.algos.deeplearning.ActivationUtils.ExpRectifierDropoutOut
 
eval(double[], double, int) - Method in class hex.genmodel.algos.deeplearning.ActivationUtils.ExpRectifierOut
 
eval(double[], double, int) - Method in class hex.genmodel.algos.deeplearning.ActivationUtils.LinearOut
 
eval(double[], double, int) - Method in class hex.genmodel.algos.deeplearning.ActivationUtils.MaxoutDropoutOut
 
eval(double[], double, int) - Method in class hex.genmodel.algos.deeplearning.ActivationUtils.MaxoutOut
 
eval(double[], double, int) - Method in class hex.genmodel.algos.deeplearning.ActivationUtils.RectifierDropoutOut
 
eval(double[], double, int) - Method in class hex.genmodel.algos.deeplearning.ActivationUtils.RectifierOut
 
eval(double[], double, int) - Method in class hex.genmodel.algos.deeplearning.ActivationUtils.SoftmaxOut
 
eval(double[], double, int) - Method in class hex.genmodel.algos.deeplearning.ActivationUtils.TanhDropoutOut
 
eval(double[], double, int) - Method in class hex.genmodel.algos.deeplearning.ActivationUtils.TanhOut
 
exists(String) - Method in class hex.genmodel.InMemoryMojoReaderBackend
 
exists(String) - Method in class hex.genmodel.ModelMojoReader
 
exists(String) - Method in interface hex.genmodel.MojoReaderBackend
 
exp(double) - Static method in class hex.genmodel.algos.gbm.GbmMojoModel
Sanitized exponential function - helper function.
ExpRectifierDropoutOut() - Constructor for class hex.genmodel.algos.deeplearning.ActivationUtils.ExpRectifierDropoutOut
 
ExpRectifierOut() - Constructor for class hex.genmodel.algos.deeplearning.ActivationUtils.ExpRectifierOut
 
extractFromJson(JsonObject) - Static method in class hex.genmodel.attributes.VariableImportances
 
extractType(String) - Static method in enum hex.genmodel.attributes.Table.ColumnType
 

F

features() - Method in interface hex.genmodel.descriptor.ModelDescriptor
 
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
 
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
finishWritingTextFile() - Method in class hex.genmodel.AbstractMojoWriter
Finish writing a text file.
fit(RowData) - Method in class hex.genmodel.GenMunger
 
foldColumn() - Method in interface hex.genmodel.descriptor.ModelDescriptor
 
fontSize - Variable in class hex.genmodel.algos.tree.SharedTreeSubgraph
 
format - Variable in class hex.genmodel.tools.PrintMojo
 
formNNInputs() - Method in class hex.genmodel.algos.deeplearning.NeuralNetwork
 
formNNInputsMaxOut() - Method in class hex.genmodel.algos.deeplearning.NeuralNetwork
 
fprop1Layer() - Method in class hex.genmodel.algos.deeplearning.NeuralNetwork
 

G

GBM_rescale(double[]) - Static method in class hex.genmodel.GenModel
 
GbmMojoModel - Class in hex.genmodel.algos.gbm
"Gradient Boosting Machine" MojoModel
GbmMojoModel(String[], String[][], String) - Constructor for class hex.genmodel.algos.gbm.GbmMojoModel
 
GbmMojoReader - Class in hex.genmodel.algos.gbm
 
GbmMojoReader() - Constructor for class hex.genmodel.algos.gbm.GbmMojoReader
 
GenModel - Class in hex.genmodel
This is a helper class to support Java generated models.
GenModel(String[], String[][], String) - Constructor for class hex.genmodel.GenModel
 
GenModel(String[], String[][]) - Constructor for class hex.genmodel.GenModel
Deprecated.
This constructor is deprecated and will be removed in a future version. use GenModel.GenModel(String[] names, String[][] domains, String responseColumn)() instead.
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(int) - Method in class hex.genmodel.algos.targetencoder.EncodingMap
 
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
 
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
 
getCalibGlmBeta() - Method in interface hex.genmodel.algos.tree.PlattScalingMojoHelper.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.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.
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.
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
 
getDomainValues() - Method in class hex.genmodel.algos.tree.SharedTreeNode
 
getDomainValues(String) - Method in class hex.genmodel.GenModel
Gets domain of the given column.
getDomainValues(int) - Method in class hex.genmodel.GenModel
Returns domain values for the i-th column.
getDomainValues() - Method in class hex.genmodel.GenModel
Returns domain values for all columns, including the response column.
getDomainValues(String) - Method in interface water.genmodel.IGeneratedModel
Gets domain of given column.
getDomainValues(int) - Method in interface water.genmodel.IGeneratedModel
Returns domain values for i-th column.
getDomainValues() - Method in interface water.genmodel.IGeneratedModel
Returns domain values for all columns including response column.
getEnableContributions() - Method in class hex.genmodel.easy.EasyPredictModelWrapper.Config
 
getEnableGLRMReconstrut() - Method in class hex.genmodel.easy.EasyPredictModelWrapper.Config
 
getEnableLeafAssignment() - Method in class hex.genmodel.easy.EasyPredictModelWrapper.Config
 
getEnableStagedProbabilities() - Method in class hex.genmodel.easy.EasyPredictModelWrapper.Config
 
getErrorConsumer() - Method in class hex.genmodel.easy.EasyPredictModelWrapper.Config
 
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
 
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
 
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
 
getModel() - Method in class hex.genmodel.easy.EasyPredictModelWrapper.Config
 
getModel(String) - Method in class hex.genmodel.MultiModelMojoReader
 
getModelCategories() - Method in class hex.genmodel.algos.glrm.GlrmMojoModel
 
getModelCategories() - Method in class hex.genmodel.GenModel
Override this for models that may produce results in different categories.
getModelCategories() - Method in interface hex.genmodel.IGenModel
For models with multiple categories, returns the set of all supported categories.
getModelCategory() - Method in interface hex.genmodel.descriptor.ModelDescriptor
Model's category.
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.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.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.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.svm.SvmMojoReader
 
getModelName() - Method in class hex.genmodel.algos.targetencoder.TargetEncoderMojoReader
 
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
 
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
 
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).
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.
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.tree.SharedTreeMojoModel
 
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.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.
getParent() - Method in class hex.genmodel.algos.tree.SharedTreeNode
 
getPrediction(double[], double[], double[], double) - Static method in class hex.genmodel.GenModel
Utility function to get a best prediction from an array of class prediction distribution.
getPredsSize(ModelCategory) - Method in class hex.genmodel.algos.deeplearning.DeeplearningMojoModel
 
getPredsSize(ModelCategory) - Method in class hex.genmodel.algos.glrm.GlrmMojoModel
 
getPredsSize() - Method in class hex.genmodel.algos.klime.KLimeMojoModel
 
getPredsSize() - Method in class hex.genmodel.algos.pca.PCAMojoModel
 
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
 
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.
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
 
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
 
getTreePath - Variable in class hex.genmodel.tools.PredictCsv
 
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
 
getValues() - Method in class hex.genmodel.attributes.parameters.ModelParameter
 
getVariableImportances() - Method in class hex.genmodel.attributes.DeepLearningModelAttributes
 
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
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
 
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.
glrmIterNumber - Variable in class hex.genmodel.tools.PredictCsv
 
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

H2OPredictor - Class in water.util
Created by magnus on 5/5/16.
H2OPredictor(String, String) - Constructor for class water.util.H2OPredictor
 
hashCode() - Method in class hex.genmodel.algos.tree.SharedTreeGraph
 
hashCode() - Method in class hex.genmodel.algos.tree.SharedTreeNode
 
hashCode() - Method in class hex.genmodel.algos.tree.SharedTreeSubgraph
 
hasRemaining() - Method in class hex.genmodel.utils.ByteBufferWrapper
 
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.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.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.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.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.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
 
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
 
INSTANCE - Static variable in class hex.genmodel.ModelMojoFactory
 
internal - Variable in class hex.genmodel.tools.PrintMojo
 
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
 
isAutoEncoder() - Method in class hex.genmodel.GenModel
Returns true if this model represents an AutoEncoder.
isAutoEncoder() - Method in interface water.genmodel.IGeneratedModel
 
isBitset() - Method in class hex.genmodel.algos.tree.SharedTreeNode
 
isBoolColumn(String[]) - Static method in class hex.genmodel.utils.ArrayUtils
Check to see if a column is a boolean column.
isClassifier() - Method in class hex.genmodel.GenModel
Returns true if this model represents a classifier, else it is used for regression.
isClassifier() - Method in interface water.genmodel.IGeneratedModel
 
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
 
isRequired() - Method in class hex.genmodel.attributes.parameters.ModelParameter
 
isSupervised() - Method in interface hex.genmodel.descriptor.ModelDescriptor
 
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
 

J

JavaVersionUtils - Enum in water.util
 

K

KernelParameters - Class in hex.genmodel.algos.psvm
 
KernelParameters() - Constructor for class hex.genmodel.algos.psvm.KernelParameters
 
KernelType - Enum in hex.genmodel.algos.psvm
 
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.
leaf_node_assignment(double[]) - Method in class hex.genmodel.algos.gbm.GbmMojoModel
 
leafNodeAssignment(RowData) - Method in class hex.genmodel.easy.EasyPredictModelWrapper
 
leafNodeAssignmentExtended(RowData) - Method in class hex.genmodel.easy.EasyPredictModelWrapper
 
leafNodeAssignmentIds - Variable in class hex.genmodel.easy.prediction.AnomalyDetectionPrediction
 
leafNodeAssignmentIds - Variable in class hex.genmodel.easy.prediction.BinomialModelPrediction
 
leafNodeAssignmentIds - Variable in class hex.genmodel.easy.prediction.MultinomialModelPrediction
 
leafNodeAssignmentIds - Variable in class hex.genmodel.easy.prediction.RegressionModelPrediction
 
LeafNodeAssignments() - Constructor for class hex.genmodel.algos.tree.SharedTreeMojoModel.LeafNodeAssignments
 
leafNodeAssignments - Variable in class hex.genmodel.easy.prediction.AnomalyDetectionPrediction
 
leafNodeAssignments - Variable in class hex.genmodel.easy.prediction.BinomialModelPrediction
 
leafNodeAssignments - Variable in class hex.genmodel.easy.prediction.MultinomialModelPrediction
 
leafNodeAssignments - Variable in class hex.genmodel.easy.prediction.RegressionModelPrediction
 
level - Variable in class hex.genmodel.attributes.parameters.ModelParameter
 
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(MojoReaderBackend) - Static method in class hex.genmodel.MojoModel
Advanced way of constructing Mojo models by supplying a custom mojoReader.
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
 
loss(double, double) - Method in enum hex.genmodel.algos.glrm.GlrmLoss
Loss function for numeric variables

M

m - Variable in class hex.genmodel.easy.EasyPredictModelWrapper
 
main(String[]) - Static method in class hex.genmodel.tools.BuildPipeline
 
main(String[]) - Static method in class hex.genmodel.tools.MungeCsv
CSV reader and predictor test program.
main(String[]) - Static method in class hex.genmodel.tools.PredictCsv
 
main(String[]) - Static method in class hex.genmodel.tools.PrintMojo
 
main(String[]) - Static method in class water.util.H2OPredictor
 
make(String[], GenModel) - Static method in class hex.genmodel.tools.PredictCsv
 
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 interface hex.genmodel.ConverterFactoryProvidingModel
 
makeLeftChildNode(SharedTreeNode) - Method in class hex.genmodel.algos.tree.SharedTreeSubgraph
Make the left child of a node.
makeModel(String[], String[][], String) - Method in class hex.genmodel.algos.deeplearning.DeeplearningMojoReader
 
makeModel(String[], String[][], String) - Method in class hex.genmodel.algos.drf.DrfMojoReader
 
makeModel(String[], String[][], String) - Method in class hex.genmodel.algos.ensemble.StackedEnsembleMojoReader
 
makeModel(String[], String[][], String) - Method in class hex.genmodel.algos.gbm.GbmMojoReader
 
makeModel(String[], String[][], String) - Method in class hex.genmodel.algos.glm.GlmMojoReader
 
makeModel(String[], String[][], String) - Method in class hex.genmodel.algos.glrm.GlrmMojoReader
 
makeModel(String[], String[][], String) - Method in class hex.genmodel.algos.isofor.IsolationForestMojoReader
 
makeModel(String[], String[][], String) - Method in class hex.genmodel.algos.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.svm.SvmMojoReader
 
makeModel(String[], String[][], String) - Method in class hex.genmodel.algos.targetencoder.TargetEncoderMojoReader
 
makeModel(String[], String[][], String) - Method in class hex.genmodel.algos.word2vec.Word2VecMojoReader
 
makeModel(String[], String[][], String) - Method in class hex.genmodel.ModelMojoReader
 
makeRightChildNode(SharedTreeNode) - Method in class hex.genmodel.algos.tree.SharedTreeSubgraph
Make the right child of a node.
makeRootNode() - Method in class hex.genmodel.algos.tree.SharedTreeSubgraph
Make the root node in the tree.
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
 
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
 
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
 
ModelDescriptor - Interface in hex.genmodel.descriptor
Internal structure providing basic information about a model.
ModelDescriptorBuilder - Class in hex.genmodel.descriptor
 
ModelDescriptorBuilder(MojoModel, String) - Constructor for class hex.genmodel.descriptor.ModelDescriptorBuilder
 
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
 
MojoModel - Class in hex.genmodel
Prediction model based on the persisted binary data.
MojoModel(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
 
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
 
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
 
mojoVersion() - Method in class hex.genmodel.AbstractMojoWriter
Version of the mojo file produced.
mojoVersion() - Method in class hex.genmodel.algos.deeplearning.DeeplearningMojoReader
 
mojoVersion() - Method in class hex.genmodel.algos.drf.DrfMojoReader
 
mojoVersion() - Method in class hex.genmodel.algos.ensemble.StackedEnsembleMojoReader
 
mojoVersion() - Method in class hex.genmodel.algos.gbm.GbmMojoReader
 
mojoVersion() - Method in class hex.genmodel.algos.glm.GlmMojoReader
 
mojoVersion() - Method in class hex.genmodel.algos.glrm.GlrmMojoReader
 
mojoVersion() - Method in class hex.genmodel.algos.isofor.IsolationForestMojoReader
 
mojoVersion() - Method in class hex.genmodel.algos.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.svm.SvmMojoReader
 
mojoVersion() - Method in class hex.genmodel.algos.targetencoder.TargetEncoderMojoReader
 
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
 
mse - Variable in class hex.genmodel.easy.prediction.AutoEncoderModelPrediction
Reconstruction mean squared error calculated from original and reconstructed data.
MultiModelMojoReader<M extends MojoModel> - Class in hex.genmodel
 
MultiModelMojoReader() - Constructor for class hex.genmodel.MultiModelMojoReader
 
MultinomialModelPrediction - Class in hex.genmodel.easy.prediction
Binomial classification model prediction.
MultinomialModelPrediction() - Constructor for class hex.genmodel.easy.prediction.MultinomialModelPrediction
 
multiply(double, HashMap<String, String[]>) - Static method in class hex.genmodel.GenMunger
 
MungeCsv - Class in hex.genmodel.tools
Simple driver program for reading a CSV file and munging it.
MungeCsv() - Constructor for class hex.genmodel.tools.MungeCsv
 

N

name - Variable in class hex.genmodel.algos.tree.SharedTreeSubgraph
 
name - Variable in class hex.genmodel.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
 
NaSplitDir - Enum in hex.genmodel.algos.tree
Copy of `hex.tree.DHistogram.NASplitDir` in package `h2o-algos`.
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.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.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
 
nodesArray - Variable in class hex.genmodel.algos.tree.SharedTreeSubgraph
 
normalizedScore - Variable in class hex.genmodel.easy.prediction.AnomalyDetectionPrediction
 
nPlaces - Variable in class hex.genmodel.algos.tree.SharedTreeSubgraph
 

O

offsetColumn() - Method in interface hex.genmodel.descriptor.ModelDescriptor
 
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
 
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
 
parseMajor(String) - Method in enum water.util.JavaVersionUtils
 
parseModelJson(MojoReaderBackend) - Static method in class hex.genmodel.attributes.ModelJsonReader
 
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
 
PlattScalingMojoHelper - Class in hex.genmodel.algos.tree
 
PlattScalingMojoHelper() - Constructor for class hex.genmodel.algos.tree.PlattScalingMojoHelper
 
PlattScalingMojoHelper.MojoModelWithCalibration - Interface in hex.genmodel.algos.tree
 
position() - Method in class hex.genmodel.utils.ByteBufferWrapper
 
postInit() - Method in class hex.genmodel.algos.tree.SharedTreeMojoModel
 
pow(double, HashMap<String, String[]>) - Static method in class hex.genmodel.GenMunger
 
preamble(ModelCategory, RowData) - Method in class hex.genmodel.easy.EasyPredictModelWrapper
 
preamble(ModelCategory, RowData, double) - Method in class hex.genmodel.easy.EasyPredictModelWrapper
 
pred(String) - Method in class water.util.H2OPredictor
 
predict(RowData, ModelCategory) - Method in class hex.genmodel.easy.EasyPredictModelWrapper
Make a prediction on a new data point.
predict(RowData) - Method in class hex.genmodel.easy.EasyPredictModelWrapper
 
predict(RowData, double, double[]) - Method in class hex.genmodel.easy.EasyPredictModelWrapper
 
predict2(String, String) - Static method in class water.util.H2OPredictor
 
predict3(String, String, String) - Static method in class water.util.H2OPredictor
 
predictAnomalyDetection(RowData) - Method in class hex.genmodel.easy.EasyPredictModelWrapper
Make a prediction on a new data point using a Binomial model.
predictAutoEncoder(RowData) - Method in class hex.genmodel.easy.EasyPredictModelWrapper
Make a prediction on a new data point using an AutoEncoder model.
predictBinomial(RowData) - Method in class hex.genmodel.easy.EasyPredictModelWrapper
Make a prediction on a new data point using a Binomial model.
predictBinomial(RowData, double) - Method in class hex.genmodel.easy.EasyPredictModelWrapper
Make a prediction on a new data point using a Binomial model.
predictClustering(RowData) - Method in class hex.genmodel.easy.EasyPredictModelWrapper
Make a prediction on a new data point using a Clustering model.
PredictContributions - Interface in hex.genmodel
 
predictContributions - Variable in class hex.genmodel.tools.PredictCsv
 
PredictContributionsFactory - Interface in hex.genmodel
MOJO Models that can calculate SHAP Values (contributions) should implement this interface
PredictCsv - Class in hex.genmodel.tools
Simple driver program for reading a CSV file and making predictions.
PredictCsv() - Constructor for class hex.genmodel.tools.PredictCsv
 
predictDimReduction(RowData) - Method in class hex.genmodel.easy.EasyPredictModelWrapper
Make a prediction on a new data point using a Dimension Reduction model (PCA, GLRM)
PredictException - Exception in hex.genmodel.easy.exception
All generated model exceptions that can occur on the various predict methods derive from this.
PredictException(String) - Constructor for exception hex.genmodel.easy.exception.PredictException
 
PredictException(Throwable) - Constructor for exception hex.genmodel.easy.exception.PredictException
 
PredictException(String, Throwable) - Constructor for exception hex.genmodel.easy.exception.PredictException
 
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.
predictRegression(RowData) - Method in class hex.genmodel.easy.EasyPredictModelWrapper
Make a prediction on a new data point using a Regression model.
predictRegression(RowData, double) - Method in class hex.genmodel.easy.EasyPredictModelWrapper
Make a prediction on a new data point using a Regression model.
PredictUnknownCategoricalLevelException - Exception in hex.genmodel.easy.exception
Unknown categorical level exception.
PredictUnknownCategoricalLevelException(String, String, String) - Constructor for exception hex.genmodel.easy.exception.PredictUnknownCategoricalLevelException
 
PredictUnknownTypeException - Exception in hex.genmodel.easy.exception
Unknown type exception.
PredictUnknownTypeException(String) - Constructor for exception hex.genmodel.easy.exception.PredictUnknownTypeException
 
predictWord2Vec(RowData) - Method in class hex.genmodel.easy.EasyPredictModelWrapper
Lookup word embeddings for a given word (or set of words).
PredictWrongModelCategoryException - Exception in hex.genmodel.easy.exception
Wrong model category exception.
PredictWrongModelCategoryException(String) - Constructor for exception hex.genmodel.easy.exception.PredictWrongModelCategoryException
 
print() - Method in class hex.genmodel.algos.tree.SharedTreeGraph
Debug printout of graph structure.
print() - Method in class hex.genmodel.algos.tree.SharedTreeNode
 
print(PrintStream, String) - Method in class hex.genmodel.algos.tree.SharedTreeNode
 
printDot(PrintStream, int, boolean, String, PrintMojo.PrintTreeOptions) - Method in class hex.genmodel.algos.tree.SharedTreeGraph
Print graph output in a format readable by dot (graphviz).
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
 
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.
pTreeOptions - Variable in class hex.genmodel.tools.PrintMojo
 
put(int, int[]) - Method in class hex.genmodel.algos.targetencoder.EncodingMap
 
put(String, EncodingMap) - Method in class hex.genmodel.algos.targetencoder.EncodingMaps
 

R

rank(boolean, double[][]) - Static method in class hex.genmodel.algos.glrm.GlrmMojoModel
 
readblob(String) - Method in class hex.genmodel.ModelMojoReader
Retrieve binary data previously saved to the mojo file using `writeblob(key, blob)`.
readFrom(MojoReaderBackend) - Static method in class hex.genmodel.ModelMojoReader
De-serializes a MojoModel, creating an instance of MojoModel useful for scoring and model evaluation.
readFrom(MojoReaderBackend, boolean) - Static method in class hex.genmodel.ModelMojoReader
De-serializes a MojoModel, creating an instance of MojoModel useful for scoring and model evaluation.
readkv(String) - Method in class hex.genmodel.ModelMojoReader
Retrieve value from the model's kv store which was previously put there using `writekv(key, value)`.
readkv(String, T) - Method in class hex.genmodel.ModelMojoReader
Retrieves the value associated with a given key.
readModelData() - Method in class hex.genmodel.algos.deeplearning.DeeplearningMojoReader
 
readModelData() - Method in class hex.genmodel.algos.drf.DrfMojoReader
 
readModelData() - Method in class hex.genmodel.algos.gbm.GbmMojoReader
 
readModelData() - Method in class hex.genmodel.algos.glm.GlmMojoReader
 
readModelData() - Method in class hex.genmodel.algos.glrm.GlrmMojoReader
 
readModelData() - Method in class hex.genmodel.algos.isofor.IsolationForestMojoReader
 
readModelData() - Method in class hex.genmodel.algos.kmeans.KMeansMojoReader
 
readModelData() - Method in class hex.genmodel.algos.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.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.MultiModelMojoReader
 
readStringArray(String, int) - 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.
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
 
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
run() - Method in interface hex.genmodel.tools.MojoPrinter
 
run() - Method in class hex.genmodel.tools.PredictCsv
 
run() - Method in class hex.genmodel.tools.PrintMojo
 

S

sampleOOBRows(int, float, Random) - Static method in class water.util.ModelUtils
Sample out-of-bag rows with given rate with help of given sampler.
sampleOOBRows(int, float, Random, int[]) - Static method in class water.util.ModelUtils
scaleInPlace(double[], double[], double[]) - Static method in class hex.genmodel.GenMunger
 
score - Variable in class hex.genmodel.easy.prediction.AnomalyDetectionPrediction
 
score0(double[], double, double[]) - Method in class hex.genmodel.algos.deeplearning.DeeplearningMojoModel
This method will be derived from the scoring/prediction function of deeplearning model itself.
score0(double[], double[]) - Method in class hex.genmodel.algos.deeplearning.DeeplearningMojoModel
 
score0(double[], double, double[]) - Method in class hex.genmodel.algos.drf.DrfMojoModel
Corresponds to `hex.tree.drf.DrfMojoModel.score0()`
score0(double[], double[]) - Method in class hex.genmodel.algos.drf.DrfMojoModel
 
score0(double[], double[]) - Method in class hex.genmodel.algos.ensemble.StackedEnsembleMojoModel
 
score0(double[], double, double[]) - Method in class hex.genmodel.algos.gbm.GbmMojoModel
Corresponds to `hex.tree.gbm.GbmMojoModel.score0()`
score0(double[], double[]) - Method in class hex.genmodel.algos.gbm.GbmMojoModel
 
score0(double[], double[], long) - Method in class hex.genmodel.algos.glrm.GlrmMojoModel
 
score0(double[], double[]) - Method in class hex.genmodel.algos.glrm.GlrmMojoModel
This function corresponds to the DimReduction model category
score0(double[], double[]) - Method in class hex.genmodel.algos.isofor.IsolationForestMojoModel
 
score0(double[], double, double[]) - Method in class hex.genmodel.algos.isofor.IsolationForestMojoModel
 
score0(double[], double[]) - Method in class hex.genmodel.algos.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.svm.SvmMojoModel
 
score0(double[], double[]) - Method in class hex.genmodel.algos.targetencoder.TargetEncoderMojoModel
 
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.
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 - Interface in hex.genmodel.algos.tree
 
scoreTree(byte[], double[], boolean, String[][]) - Method in interface hex.genmodel.algos.tree.ScoreTree
 
scoreTree(byte[], double[], boolean, String[][]) - Method in class hex.genmodel.algos.tree.ScoreTree0
 
scoreTree(byte[], double[], boolean, String[][]) - Method in class hex.genmodel.algos.tree.ScoreTree1
 
scoreTree(byte[], double[], boolean, String[][]) - Method in class hex.genmodel.algos.tree.ScoreTree2
 
scoreTree(byte[], double[], int, boolean, String[][]) - Static method in class hex.genmodel.algos.tree.SharedTreeMojoModel
scoreTree(byte[], double[], boolean, String[][]) - Static method in class hex.genmodel.algos.tree.SharedTreeMojoModel
Highly efficient (critical path) tree scoring Given a tree (in the form of a byte array) and the row of input data, compute either this tree's predicted value when `computeLeafAssignment` is false, or the the decision path within the tree (but no more than 64 levels) when `computeLeafAssignment` is true.
scoreTree(double[]) - Method in class hex.genmodel.algos.tree.SharedTreeSubgraph
 
ScoreTree0 - Class in hex.genmodel.algos.tree
 
ScoreTree0() - Constructor for class hex.genmodel.algos.tree.ScoreTree0
 
scoreTree0(byte[], double[], int, boolean) - Static method in class hex.genmodel.algos.tree.SharedTreeMojoModel
scoreTree0(byte[], double[], boolean) - Static method in class hex.genmodel.algos.tree.SharedTreeMojoModel
SET IN STONE FOR MOJO VERSION "1.00" - DO NOT CHANGE
ScoreTree1 - Class in hex.genmodel.algos.tree
 
ScoreTree1() - Constructor for class hex.genmodel.algos.tree.ScoreTree1
 
scoreTree1(byte[], double[], int, boolean) - Static method in class hex.genmodel.algos.tree.SharedTreeMojoModel
scoreTree1(byte[], double[], boolean) - Static method in class hex.genmodel.algos.tree.SharedTreeMojoModel
SET IN STONE FOR MOJO VERSION "1.10" - DO NOT CHANGE
ScoreTree2 - Class in hex.genmodel.algos.tree
 
ScoreTree2() - Constructor for class hex.genmodel.algos.tree.ScoreTree2
 
scoreTreeRange(double[], int, int, double[]) - Method in class hex.genmodel.algos.tree.SharedTreeMojoModel
Generates (partial, per-class) predictions using only trees from a given range.
scoringDomains() - Method in interface hex.genmodel.descriptor.ModelDescriptor
Domains of categorical features.
separator - Variable in class hex.genmodel.tools.PredictCsv
 
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
 
setConvertInvalidNumbersToNa(boolean) - Method in class hex.genmodel.easy.EasyPredictModelWrapper.Config
Specify the default action when a string value cannot be converted to a number.
setConvertUnknownCategoricalLevelsToNa(boolean) - Method in class hex.genmodel.easy.EasyPredictModelWrapper.Config
Specify how to handle unknown categorical levels.
setDecimalPlace(int) - Method in class hex.genmodel.algos.tree.SharedTreeSubgraph
 
setDecimalPlaces - Variable in class hex.genmodel.algos.tree.SharedTreeSubgraph
 
setDomainValues(String[]) - Method in class hex.genmodel.algos.tree.SharedTreeNode
 
setEnableContributions(boolean) - Method in class hex.genmodel.easy.EasyPredictModelWrapper.Config
 
setEnableGLRMReconstrut(boolean) - Method in class hex.genmodel.easy.EasyPredictModelWrapper.Config
 
setEnableLeafAssignment(boolean) - Method in class hex.genmodel.easy.EasyPredictModelWrapper.Config
 
setEnableStagedProbabilities(boolean) - Method in class hex.genmodel.easy.EasyPredictModelWrapper.Config
 
setErrorConsumer(EasyPredictModelWrapper.ErrorConsumer) - Method in class hex.genmodel.easy.EasyPredictModelWrapper.Config
Specify an instance of EasyPredictModelWrapper.ErrorConsumer the EasyPredictModelWrapper is going to call whenever an error defined by the EasyPredictModelWrapper.ErrorConsumer instance occurs.
setFontSize(int) - Method in class hex.genmodel.algos.tree.SharedTreeSubgraph
 
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
 
setInvNumNA - Variable in class hex.genmodel.tools.PredictCsv
 
setLeftward(boolean) - Method in class hex.genmodel.algos.tree.SharedTreeNode
 
setModel(GenModel) - Method in class hex.genmodel.easy.EasyPredictModelWrapper.Config
Specify model object to wrap.
setNodeNumber(int) - Method in class hex.genmodel.algos.tree.SharedTreeNode
 
setParameters(int) - Method in enum hex.genmodel.algos.glrm.GlrmLoss
Initialize additional parameters on the loss function.
setPredValue(float) - Method in class hex.genmodel.algos.tree.SharedTreeNode
 
setSplitValue(float) - Method in class hex.genmodel.algos.tree.SharedTreeNode
 
setSquaredError(float) - Method in class hex.genmodel.algos.tree.SharedTreeNode
 
setUseExtendedOutput(boolean) - Method in class hex.genmodel.easy.EasyPredictModelWrapper.Config
Specify whether to include additional metadata in the prediction output.
setUseExternalEncoding(boolean) - Method in class hex.genmodel.easy.EasyPredictModelWrapper.Config
Allows to switch on/off applying categorical encoding in EasyPredictModelWrapper.
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.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.
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
 
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.
SortByKeyAssociatedIndex(Map<String, Integer>) - Constructor for class hex.genmodel.algos.targetencoder.TargetEncoderMojoModel.SortByKeyAssociatedIndex
 
SortedClassProbability - Class in hex.genmodel.easy.prediction
Class probability.
SortedClassProbability() - Constructor for class hex.genmodel.easy.prediction.SortedClassProbability
 
StackedEnsembleMojoModel - Class in hex.genmodel.algos.ensemble
 
StackedEnsembleMojoModel(String[], String[][], String) - Constructor for class hex.genmodel.algos.ensemble.StackedEnsembleMojoModel
 
StackedEnsembleMojoReader - Class in hex.genmodel.algos.ensemble
 
StackedEnsembleMojoReader() - Constructor for class hex.genmodel.algos.ensemble.StackedEnsembleMojoReader
 
stageProbabilities - Variable in class hex.genmodel.easy.prediction.AnomalyDetectionPrediction
Staged predictions of tree algorithms (prediction probabilities of trees per iteration).
stageProbabilities - Variable in class hex.genmodel.easy.prediction.BinomialModelPrediction
Staged predictions of tree algorithms (prediction probabilities of trees per iteration).
stageProbabilities - Variable in class hex.genmodel.easy.prediction.MultinomialModelPrediction
Staged predictions of tree algorithms (prediction probabilities of trees per iteration).
stageProbabilities - Variable in class hex.genmodel.easy.prediction.RegressionModelPrediction
Staged predictions of tree algorithms (prediction probabilities of trees per iteration).
startWritingTextFile(String) - Method in class hex.genmodel.AbstractMojoWriter
Write a text file to the MOJO archive (or rather open such file for writing).
Step(String[], String[], String[]) - Constructor for class hex.genmodel.GenMunger.Step
 
StringDecisionPathTracker() - Constructor for class hex.genmodel.algos.tree.SharedTreeMojoModel.StringDecisionPathTracker
 
StringEscapeUtils - Class in hex.genmodel.utils
 
StringEscapeUtils() - Constructor for class hex.genmodel.utils.StringEscapeUtils
 
strsplit(String, HashMap<String, String[]>) - Static method in class hex.genmodel.GenMunger
 
subgraphArray - Variable in class hex.genmodel.algos.tree.SharedTreeGraph
 
subgraphNumber - Variable in class hex.genmodel.algos.tree.SharedTreeSubgraph
 
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
 
TargetEncoderMojoModel.SortByKeyAssociatedIndex<K extends java.lang.String,V> - Class in hex.genmodel.algos.targetencoder
 
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
 
TmpMojoReaderBackend - Class in hex.genmodel
 
TmpMojoReaderBackend(File) - Constructor for class hex.genmodel.TmpMojoReaderBackend
 
tmpOutputFileName - Variable in class hex.genmodel.tools.PrintMojo
 
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
 
toString() - Method in class hex.genmodel.algos.tree.ConvertTreeOptions
 
toString() - Method in class hex.genmodel.algos.tree.SharedTreeSubgraph
 
toString() - Method in class hex.genmodel.easy.BinaryEncoder
 
toString() - Method in class hex.genmodel.easy.EnumLimitedEncoder
 
toString() - Method in class hex.genmodel.easy.OneHotEncoder
 
toupper(String, HashMap<String, String[]>) - Static method in class hex.genmodel.GenMunger
 
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
 
transformWithTargetEncoding(RowData) - Method in class hex.genmodel.easy.EasyPredictModelWrapper
Perform target encoding based on TargetEncoderMojoModel
TreeBackedMojoModel - Interface in hex.genmodel.algos.tree
 
treeName(int, int, String[]) - Static method in class hex.genmodel.algos.tree.SharedTreeMojoModel
 
TreeSHAP<R,N extends ai.h2o.algos.tree.INode<R>,S extends ai.h2o.algos.tree.INodeStat> - Class in hex.genmodel.algos.tree
 
TreeSHAP(N[], S[], int) - Constructor for class hex.genmodel.algos.tree.TreeSHAP
 
TreeSHAP.PathPointer - Class in hex.genmodel.algos.tree
 
TreeSHAPEnsemble<R> - Class in hex.genmodel.algos.tree
 
TreeSHAPEnsemble(Collection<TreeSHAPPredictor<R>>, float) - Constructor for class hex.genmodel.algos.tree.TreeSHAPEnsemble
 
TreeSHAPPredictor<R> - Interface in hex.genmodel.algos.tree
 
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.
UNKNOWN - Static variable in enum water.util.JavaVersionUtils
 
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
 
usage() - Static method in class hex.genmodel.tools.PrintMojo
 
useUnifiedLogging() - Method in enum water.util.JavaVersionUtils
 
uuid() - Method in interface hex.genmodel.descriptor.ModelDescriptor
 

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.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.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.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.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.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
 
VoidErrorConsumer - Class in hex.genmodel.easy.error
A void implementation of EasyPredictModelWrapper.ErrorConsumer.
VoidErrorConsumer() - Constructor for class hex.genmodel.easy.error.VoidErrorConsumer
 

W

walkNodes(int, String) - Method in class hex.genmodel.algos.tree.SharedTreeGraph
 
walkNodes(String) - Method in class hex.genmodel.algos.tree.SharedTreeSubgraph
 
water.genmodel - package water.genmodel
Deprecated (see hex.genmodel instead).
water.util - package water.util
Deprecated (see hex.util instead).
weightsColumn() - Method in interface hex.genmodel.descriptor.ModelDescriptor
 
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
 
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
 

_

__INTERNAL_MAX_TREE_DEPTH - Static variable in class hex.genmodel.algos.tree.SharedTreeMojoModel
 
_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
 
_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
 
_auc - Variable in class hex.genmodel.attributes.metrics.MojoModelMetricsBinomial
 
_balanceClasses - Variable in class hex.genmodel.MojoModel
 
_binomial_double_trees - Variable in class hex.genmodel.algos.drf.DrfMojoModel
 
_calib_glm_beta - Variable in class hex.genmodel.algos.tree.SharedTreeMojoModel
GLM's beta used for calibrating output probabilities using Platt Scaling.
_category - Variable in class hex.genmodel.MojoModel
 
_catNAFill - Variable in class hex.genmodel.algos.deeplearning.DeeplearningMojoModel
 
_catoffsets - Variable in class hex.genmodel.algos.deeplearning.DeeplearningMojoModel
 
_catOffsets - Variable in class hex.genmodel.algos.glrm.GlrmMojoModel
 
_catOffsets - Variable in class hex.genmodel.algos.pca.PCAMojoModel
 
_cats - Variable in class hex.genmodel.algos.deeplearning.DeeplearningMojoModel
 
_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
 
_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.
_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
 
_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
 
_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.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
 
_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
 
_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
 
_iterNumber - Variable in class hex.genmodel.algos.glrm.GlrmMojoModel
 
_k - Variable in class hex.genmodel.algos.pca.PCAMojoModel
 
_link_function - Variable in class hex.genmodel.algos.gbm.GbmMojoModel
 
_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
 
_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
 
_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
 
_names - Variable in class hex.genmodel.GenModel
Column names; last is response for supervised models
_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
 
_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
 
_nodeIds - Variable in class hex.genmodel.algos.tree.SharedTreeMojoModel.LeafNodeAssignments
 
_normmul - Variable in class hex.genmodel.algos.deeplearning.DeeplearningMojoModel
 
_normMul - Variable in class hex.genmodel.algos.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
 
_nullDegressOfFreedom - Variable in class hex.genmodel.attributes.metrics.MojoModelMetricsBinomialGLM
 
_nullDegressOfFreedom - Variable in class hex.genmodel.attributes.metrics.MojoModelMetricsMultinomialGLM
 
_nullDegressOfFreedom - Variable in class hex.genmodel.attributes.metrics.MojoModelMetricsOrdinalGLM
 
_nullDegressOfFreedom - 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
 
_numLayers - Variable in class hex.genmodel.algos.deeplearning.DeeplearningMojoModel
 
_numLevels - Variable in class hex.genmodel.algos.glrm.GlrmMojoModel
 
_nums - Variable in class hex.genmodel.algos.deeplearning.DeeplearningMojoModel
 
_offsetColumn - Variable in class hex.genmodel.GenModel
Name of the column with offsets (used for certain types of models).
_orig_domain_values - Variable in class hex.genmodel.algos.tree.SharedTreeMojoModel
 
_orig_names - Variable in class hex.genmodel.algos.tree.SharedTreeMojoModel
 
_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_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
 
_priorMean - Variable in class hex.genmodel.algos.targetencoder.TargetEncoderMojoModel
 
_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
 
_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
 
_residualDegressOfFreedom - Variable in class hex.genmodel.attributes.metrics.MojoModelMetricsBinomialGLM
 
_residualDegressOfFreedom - Variable in class hex.genmodel.attributes.metrics.MojoModelMetricsMultinomialGLM
 
_residualDegressOfFreedom - Variable in class hex.genmodel.attributes.metrics.MojoModelMetricsOrdinalGLM
 
_residualDegressOfFreedom - 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
 
_targetEncodingMap - Variable in class hex.genmodel.algos.targetencoder.TargetEncoderMojoModel
 
_teColumnNameToIdx - Variable in class hex.genmodel.algos.targetencoder.TargetEncoderMojoModel
 
_teColumnNameToIdx - Variable in class hex.genmodel.algos.targetencoder.TargetEncoderMojoModel.SortByKeyAssociatedIndex
 
_teColumnNameToMissingValuesPresence - Variable in class hex.genmodel.algos.targetencoder.TargetEncoderMojoModel
 
_thresholds_and_metric_scores - Variable in class hex.genmodel.attributes.metrics.MojoModelMetricsBinomial
 
_transposed - Variable in class hex.genmodel.algos.glrm.GlrmMojoModel
 
_units - Variable in class hex.genmodel.algos.deeplearning.DeeplearningMojoModel
 
_use_all_factor_levels - Variable in class hex.genmodel.algos.deeplearning.DeeplearningMojoModel
 
_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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