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

A

AbstractMojoWriter - Class in hex.genmodel

AbstractMojoWriter(ModelDescriptor) - Constructor for class hex.genmodel.AbstractMojoWriter

AbstractPrediction - Class in hex.genmodel.easy.prediction

Predictions from generated models for individual new data points derive from this class.

AbstractPrediction() - Constructor for class hex.genmodel.easy.prediction.AbstractPrediction

ActivationUtils - Class in hex.genmodel.algos.deeplearning

ActivationUtils() - Constructor for class hex.genmodel.algos.deeplearning.ActivationUtils

ActivationUtils.ActivationFunctions - Interface in hex.genmodel.algos.deeplearning

ActivationUtils.ExpRectifierDropoutOut - Class in hex.genmodel.algos.deeplearning

ActivationUtils.ExpRectifierOut - Class in hex.genmodel.algos.deeplearning

ActivationUtils.LinearOut - Class in hex.genmodel.algos.deeplearning

ActivationUtils.MaxoutDropoutOut - Class in hex.genmodel.algos.deeplearning

ActivationUtils.MaxoutOut - Class in hex.genmodel.algos.deeplearning

ActivationUtils.RectifierDropoutOut - Class in hex.genmodel.algos.deeplearning

ActivationUtils.RectifierOut - Class in hex.genmodel.algos.deeplearning

ActivationUtils.SoftmaxOut - Class in hex.genmodel.algos.deeplearning

ActivationUtils.TanhDropoutOut - Class in hex.genmodel.algos.deeplearning

ActivationUtils.TanhOut - Class in hex.genmodel.algos.deeplearning

add(double, HashMap<String, String[]>) - Static method in class hex.genmodel.GenMunger

addMainModel(String, File) - Method in class hex.genmodel.MojoPipelineBuilder

addMapping(MojoPipelineBuilder.MappingSpec) - Method in class hex.genmodel.MojoPipelineBuilder

addMapping(String, String, int) - Method in class hex.genmodel.MojoPipelineBuilder

addMappings(List<MojoPipelineBuilder.MappingSpec>) - Method in class hex.genmodel.MojoPipelineBuilder

addModel(String, File) - Method in class hex.genmodel.MojoPipelineBuilder

algoFullName() - Method in interface hex.genmodel.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

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

BinomialModelPrediction - Class in hex.genmodel.easy.prediction

Binomial classification model prediction.

BinomialModelPrediction() - Constructor for class hex.genmodel.easy.prediction.BinomialModelPrediction

bitSetContains(byte[], int, int, double) - Static method in class hex.genmodel.GenModel

bitSetIsInRange(int, int, double) - Static method in class hex.genmodel.GenModel

build() - Method in class hex.genmodel.descriptor.ModelDescriptorBuilder

Builds the final instance of ModelDescriptor, using information provided by the serialized model and which corresponding implementations of ModelMojoReader are able to provide.

buildNet(ImageDataSet, RuntimeOptions, BackendParams, int, String) - Method in class hex.genmodel.algos.deepwater.caffe.DeepwaterCaffeBackend

buildPipeline(File) - Method in class hex.genmodel.MojoPipelineBuilder

BuildPipeline - Class in hex.genmodel.tools

BuildPipeline() - Constructor for class hex.genmodel.tools.BuildPipeline

ByteBufferWrapper - Class in hex.genmodel.utils

Simplified version and drop-in replacement of water.util.AutoBuffer

ByteBufferWrapper(byte[]) - Constructor for class hex.genmodel.utils.ByteBufferWrapper

Read from a fixed byte[]; should not be closed.

C

CAFFE_DIR - Static variable in class hex.genmodel.algos.deepwater.caffe.DeepwaterCaffeBackend

CAFFE_H2O_DIR - Static variable in class hex.genmodel.algos.deepwater.caffe.DeepwaterCaffeBackend

calculateContributions(double[]) - Method in class hex.genmodel.algos.tree.SharedTreeMojoModelWithContributions.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(double[]) - Method in class hex.genmodel.algos.tree.SharedTreeMojoModel

calibrateClassProbabilities(double[]) - Method in class hex.genmodel.GenModel

Subclasses implement calibration of class probabilities.

calibratedClassProbabilities - Variable in class hex.genmodel.easy.prediction.BinomialModelPrediction

Class probabilities calibrated by Platt Scaling.

classProbabilities - Variable in class hex.genmodel.easy.prediction.BinomialModelPrediction

This array of length two has the class probability for each class (aka categorical or factor level) in the response column.

classProbabilities - Variable in class hex.genmodel.easy.prediction.MultinomialModelPrediction

This array has an element for each class (aka categorical or factor level) in the response column.

classProbabilities - Variable in class hex.genmodel.easy.prediction.OrdinalModelPrediction

This array has an element for each class (aka categorical or factor level) in the response column.

clear() - Method in class hex.genmodel.algos.deepwater.caffe.nano.Deepwater.Cmd

clear() - Method in class hex.genmodel.algos.deepwater.caffe.nano.Deepwater.Saved

close() - Method in class hex.genmodel.InMemoryMojoReaderBackend

close() - Method in class hex.genmodel.TmpMojoReaderBackend

cluster - Variable in class hex.genmodel.easy.prediction.ClusteringModelPrediction

Chosen cluster for this data point.

ClusteringModelPrediction - Class in hex.genmodel.easy.prediction

Clustering model prediction.

ClusteringModelPrediction() - Constructor for class hex.genmodel.easy.prediction.ClusteringModelPrediction

Cmd() - Constructor for class hex.genmodel.algos.deepwater.caffe.nano.Deepwater.Cmd

columnName - Variable in exception hex.genmodel.easy.exception.PredictUnknownCategoricalLevelException

columnNames() - Method in interface hex.genmodel.descriptor.ModelDescriptor

columns() - Method in class hex.genmodel.attributes.Table

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

computeLambda(int, double, double) - Static method in class hex.genmodel.algos.targetencoder.TargetEncoderMojoModel

computeSerializedSize() - Method in class hex.genmodel.algos.deepwater.caffe.nano.Deepwater.Cmd

computeSerializedSize() - Method in class hex.genmodel.algos.deepwater.caffe.nano.Deepwater.Saved

computeTreeGraph(int, String, byte[], byte[], String[], String[][]) - Static method in class hex.genmodel.algos.tree.SharedTreeMojoModel

Config() - Constructor for class hex.genmodel.easy.EasyPredictModelWrapper.Config

contains(int) - Method in class hex.genmodel.utils.GenmodelBitSet

contains0(int) - Method in class hex.genmodel.utils.GenmodelBitSet

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(TreeSHAPPredictor<double[]>) - Constructor for class hex.genmodel.algos.tree.SharedTreeMojoModelWithContributions.ContributionsPredictor

ContributionsPredictorDRF(TreeSHAPPredictor<double[]>) - Constructor for class hex.genmodel.algos.drf.DrfMojoModel.ContributionsPredictorDRF

convert(int, String) - Method in interface hex.genmodel.algos.tree.SharedTreeGraphConverter

Converts internal tree representation to a shared representation.

convert(int, String) - Method in class hex.genmodel.algos.tree.SharedTreeMojoModel

convert(RowData, double[]) - Method in class hex.genmodel.easy.RowToRawDataConverter

convertDouble2Float(double[]) - Static method in class hex.genmodel.GenModel

copyStream(InputStream, OutputStream) - Static method in class hex.genmodel.utils.IOUtils

correctProbabilities(double[], double[], double[]) - Static method in class hex.genmodel.GenModel

Correct a given list of class probabilities produced as a prediction by a model back to prior class distribution

cos(double, HashMap<String, String[]>) - Static method in class hex.genmodel.GenMunger

CountingErrorConsumer - Class in hex.genmodel.easy.error

An implementation of EasyPredictModelWrapper.ErrorConsumer counting number of each kind of error even received

CountingErrorConsumer(GenModel) - Constructor for class hex.genmodel.easy.error.CountingErrorConsumer

countmatches(String, HashMap<String, String[]>) - Static method in class hex.genmodel.GenMunger

Create - Static variable in interface hex.genmodel.algos.deepwater.caffe.nano.Deepwater

create() - Method in class hex.genmodel.easy.DomainMapConstructor

createActFuns(String) - Method in class hex.genmodel.algos.deeplearning.NeuralNetwork

createAuxKey(String) - Static method in class hex.genmodel.GenModel

createDeepWaterBackend(String) - Static method in class hex.genmodel.algos.deepwater.DeepwaterMojoModel

createReaderBackend(String) - Static method in class hex.genmodel.MojoReaderBackendFactory

createReaderBackend(File) - Static method in class hex.genmodel.MojoReaderBackendFactory

createReaderBackend(URL, MojoReaderBackendFactory.CachingStrategy) - Static method in class hex.genmodel.MojoReaderBackendFactory

createReaderBackend(InputStream, MojoReaderBackendFactory.CachingStrategy) - Static method in class hex.genmodel.MojoReaderBackendFactory

cut(double, HashMap<String, String[]>) - Static method in class hex.genmodel.GenMunger

D

data - Variable in class hex.genmodel.algos.deepwater.caffe.nano.Deepwater.Cmd

dataTransformError(String, Object, String) - Method in class hex.genmodel.easy.EasyPredictModelWrapper.ErrorConsumer

Observe transformation error for data from the predicted dataset.

dataTransformError(String, Object, String) - Method in class hex.genmodel.easy.error.CountingErrorConsumer

dataTransformError(String, Object, String) - Method in class hex.genmodel.easy.error.VoidErrorConsumer

DeeplearningMojoModel - Class in hex.genmodel.algos.deeplearning

DeeplearningMojoModel.StoreWeightsBias - Class in hex.genmodel.algos.deeplearning

DeeplearningMojoReader - Class in hex.genmodel.algos.deeplearning

DeeplearningMojoReader() - Constructor for class hex.genmodel.algos.deeplearning.DeeplearningMojoReader

Deepwater - Interface in hex.genmodel.algos.deepwater.caffe.nano

Deepwater.Cmd - Class in hex.genmodel.algos.deepwater.caffe.nano

Deepwater.Saved - Class in hex.genmodel.algos.deepwater.caffe.nano

DeepwaterCaffeBackend - Class in hex.genmodel.algos.deepwater.caffe

This backend forward requests to a docker images running the python Caffe interface.

DeepwaterCaffeBackend() - Constructor for class hex.genmodel.algos.deepwater.caffe.DeepwaterCaffeBackend

DeepwaterCaffeModel - Class in hex.genmodel.algos.deepwater.caffe

DeepwaterCaffeModel(int, int[], String[], double[], long, boolean) - Constructor for class hex.genmodel.algos.deepwater.caffe.DeepwaterCaffeModel

DeepwaterCaffeModel(String, int[], long, boolean) - Constructor for class hex.genmodel.algos.deepwater.caffe.DeepwaterCaffeModel

DeepwaterMojoModel - Class in hex.genmodel.algos.deepwater

DeepwaterMojoReader - Class in hex.genmodel.algos.deepwater

DeepwaterMojoReader() - Constructor for class hex.genmodel.algos.deepwater.DeepwaterMojoReader

defaultThreshold() - Method in interface hex.genmodel.descriptor.ModelDescriptor

Default threshold for assigning class labels to the target class.

delete(BackendModel) - Method in class hex.genmodel.algos.deepwater.caffe.DeepwaterCaffeBackend

deleteSavedModel(String) - Method in class hex.genmodel.algos.deepwater.caffe.DeepwaterCaffeBackend

deleteSavedParam(String) - Method in class hex.genmodel.algos.deepwater.caffe.DeepwaterCaffeBackend

dimensions - Variable in class hex.genmodel.easy.prediction.DimReductionModelPrediction

DimReductionModelPrediction - Class in hex.genmodel.easy.prediction

TODO

DimReductionModelPrediction() - Constructor for class hex.genmodel.easy.prediction.DimReductionModelPrediction

distances(double[], double[]) - Method in class hex.genmodel.algos.kmeans.KMeansMojoModel

distances - Variable in class hex.genmodel.easy.prediction.ClusteringModelPrediction

(Optional) Vector of squared distances to all cluster centers.

distances(double[], double[]) - Method in interface hex.genmodel.IClusteringModel

Calculates squared distances to all cluster centers.

DistributionFamily - Enum in hex.genmodel.utils

Used to be `hex.Distribution.Family`.

divide(double, HashMap<String, String[]>) - Static method in class hex.genmodel.GenMunger

domainMap - Variable in class hex.genmodel.easy.EasyPredictModelWrapper

DomainMapConstructor - Class in hex.genmodel.easy

Create map from input variable domain information.

DomainMapConstructor(GenModel) - Constructor for class hex.genmodel.easy.DomainMapConstructor

DrfMojoModel - Class in hex.genmodel.algos.drf

"Distributed Random Forest" MojoModel

DrfMojoModel(String[], String[][], String) - Constructor for class hex.genmodel.algos.drf.DrfMojoModel

DrfMojoModel.ContributionsPredictorDRF - Class in hex.genmodel.algos.drf

DrfMojoReader - Class in hex.genmodel.algos.drf

DrfMojoReader() - Constructor for class hex.genmodel.algos.drf.DrfMojoReader

dropoutRatios - Variable in class hex.genmodel.algos.deepwater.caffe.nano.Deepwater.Cmd

E

EasyPredictModelWrapper - Class in hex.genmodel.easy

An easy-to-use prediction wrapper for generated models.

EasyPredictModelWrapper(EasyPredictModelWrapper.Config) - Constructor for class hex.genmodel.easy.EasyPredictModelWrapper

Create a wrapper for a generated model.

EasyPredictModelWrapper(GenModel) - Constructor for class hex.genmodel.easy.EasyPredictModelWrapper

Create a wrapper for a generated model.

EasyPredictModelWrapper.Config - Class in hex.genmodel.easy

Configuration builder for instantiating a Wrapper.

EasyPredictModelWrapper.ErrorConsumer - Class in hex.genmodel.easy

Observer interface with methods corresponding to errors during the prediction.

elementExists(JsonElement, String) - Static method in class hex.genmodel.attributes.ModelJsonReader

emptyArray() - Static method in class hex.genmodel.algos.deepwater.caffe.nano.Deepwater.Cmd

emptyArray() - Static method in class hex.genmodel.algos.deepwater.caffe.nano.Deepwater.Saved

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

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

extractLayer(BackendModel, String, float[]) - Method in class hex.genmodel.algos.deepwater.caffe.DeepwaterCaffeBackend

extractType(String) - Static method in enum hex.genmodel.attributes.Table.ColumnType

F

Failure - Static variable in interface hex.genmodel.algos.deepwater.caffe.nano.Deepwater

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

fillRawData(RowData, double[]) - Method in class hex.genmodel.easy.EasyPredictModelWrapper

findColumnIndex(String) - Method in class hex.genmodel.attributes.Table

finishWritingTextFile() - Method in class hex.genmodel.AbstractMojoWriter

Finish writing a text file.

fit(RowData) - Method in class hex.genmodel.GenMunger

foldColumn() - Method in interface hex.genmodel.descriptor.ModelDescriptor

fontSize - Variable in class hex.genmodel.algos.tree.SharedTreeSubgraph

formNNInputs() - Method in class hex.genmodel.algos.deeplearning.NeuralNetwork

formNNInputsMaxOut() - Method in class hex.genmodel.algos.deeplearning.NeuralNetwork

fprop1Layer() - Method in class hex.genmodel.algos.deeplearning.NeuralNetwork

G

GBM_rescale(double[]) - Static method in class hex.genmodel.GenModel

GbmMojoModel - Class in hex.genmodel.algos.gbm

"Gradient Boosting Machine" MojoModel

GbmMojoModel(String[], String[][], String) - Constructor for class hex.genmodel.algos.gbm.GbmMojoModel

GbmMojoReader - Class in hex.genmodel.algos.gbm

GbmMojoReader() - Constructor for class hex.genmodel.algos.gbm.GbmMojoReader

GenModel - Class in hex.genmodel

This is a helper class to support Java generated models.

GenModel(String[], String[][], String) - Constructor for class hex.genmodel.GenModel

GenModel(String[], String[][]) - Constructor for class hex.genmodel.GenModel

Deprecated.

This constructor is deprecated and will be removed in a future version. use GenModel.GenModel(String[] names, String[][] domains, String responseColumn)() instead.

GenmodelBitSet - Class in hex.genmodel.utils

GenmodelBitSet - bitset that "lives" on top of an external byte array.

GenmodelBitSet(int) - Constructor for class hex.genmodel.utils.GenmodelBitSet

GenmodelBitSet(int, int) - Constructor for class hex.genmodel.utils.GenmodelBitSet

GenMunger - Class in hex.genmodel

GenMunger() - Constructor for class hex.genmodel.GenMunger

GenMunger.Step<T> - Class in hex.genmodel

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

getBinaryFile(String) - Method in class hex.genmodel.InMemoryMojoReaderBackend

getBinaryFile(String) - Method in interface hex.genmodel.MojoReaderBackend

getBs() - Method in class hex.genmodel.algos.tree.SharedTreeNode

getCatCidx(int, int, int[], int[]) - Static method in class hex.genmodel.algos.glrm.GlrmMojoModel

getCell(int, int) - Method in class hex.genmodel.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 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.drf.DrfMojoModel.ContributionsPredictorDRF

getContribs(float[]) - Method in class hex.genmodel.algos.tree.SharedTreeMojoModelWithContributions.ContributionsPredictor

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

getDecisionPathNames() - Method in class hex.genmodel.algos.tree.SharedTreeMojoModel

getDepth() - Method in class hex.genmodel.algos.tree.SharedTreeNode

getDomainValues() - Method in class hex.genmodel.algos.tree.SharedTreeNode

getDomainValues(String) - Method in class hex.genmodel.GenModel

Gets domain of the given column.

getDomainValues(int) - Method in class hex.genmodel.GenModel

Returns domain values for the i-th column.

getDomainValues() - Method in class hex.genmodel.GenModel

Returns domain values for all columns, including the response column.

getDomainValues(String) - Method in interface water.genmodel.IGeneratedModel

Gets domain of given column.

getDomainValues(int) - Method in interface water.genmodel.IGeneratedModel

Returns domain values for i-th column.

getDomainValues() - Method in interface water.genmodel.IGeneratedModel

Returns domain values for all columns including response column.

getEnableContributions() - Method in class hex.genmodel.easy.EasyPredictModelWrapper.Config

getEnableGLRMReconstrut() - Method in class hex.genmodel.easy.EasyPredictModelWrapper.Config

getEnableLeafAssignment() - Method in class hex.genmodel.easy.EasyPredictModelWrapper.Config

getEnableStagedProbabilities() - Method in class hex.genmodel.easy.EasyPredictModelWrapper.Config

getErrorConsumer() - Method in class hex.genmodel.easy.EasyPredictModelWrapper.Config

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

???

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.tree.SharedTreeMojoModelWithContributions

getIntercept() - Method in class hex.genmodel.algos.glm.GlmMojoModel

getLeafNodeAssignments(double[]) - Method in class hex.genmodel.algos.tree.SharedTreeMojoModel

getLeafNodeId(double, byte[]) - Static method in class hex.genmodel.algos.tree.SharedTreeMojoModel

getLeafValue() - Method in class hex.genmodel.algos.tree.SharedTreeNode

getLeftChild() - Method in class hex.genmodel.algos.tree.SharedTreeNode

getLeftChildIndex() - Method in class hex.genmodel.algos.tree.SharedTreeNode

getModel() - Method in class hex.genmodel.easy.EasyPredictModelWrapper.Config

getModel(String) - Method in class hex.genmodel.MultiModelMojoReader

getModelCategories() - Method in class hex.genmodel.algos.glrm.GlrmMojoModel

getModelCategories() - Method in class hex.genmodel.GenModel

Override this for models that may produce results in different categories.

getModelCategories() - Method in interface hex.genmodel.IGenModel

For models with multiple categories, returns the set of all supported categories.

getModelCategory() - Method in 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

getModelName() - Method in class hex.genmodel.algos.deeplearning.DeeplearningMojoReader

getModelName() - Method in class hex.genmodel.algos.deepwater.DeepwaterMojoReader

getModelName() - Method in class hex.genmodel.algos.drf.DrfMojoReader

getModelName() - Method in class hex.genmodel.algos.ensemble.StackedEnsembleMojoReader

getModelName() - Method in class hex.genmodel.algos.gbm.GbmMojoReader

getModelName() - Method in class hex.genmodel.algos.glm.GlmMojoReader

getModelName() - Method in class hex.genmodel.algos.glrm.GlrmMojoReader

getModelName() - Method in class hex.genmodel.algos.isofor.IsolationForestMojoReader

getModelName() - Method in class hex.genmodel.algos.kmeans.KMeansMojoReader

getModelName() - Method in class hex.genmodel.algos.pipeline.MojoPipelineReader

getModelName() - Method in class hex.genmodel.algos.svm.SvmMojoReader

getModelName() - Method in class hex.genmodel.algos.targetencoder.TargetEncoderMojoReader

getModelName() - Method in class hex.genmodel.algos.word2vec.Word2VecMojoReader

getModelName() - Method in class hex.genmodel.ModelMojoReader

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

getNames() - Method in class hex.genmodel.GenModel

The names of all columns used, including response and offset columns.

getNames() - Method in interface water.genmodel.IGeneratedModel

The names of columns used in the model.

getNodeNumber() - Method in class hex.genmodel.algos.tree.SharedTreeNode

getNTreeGroups() - Method in class hex.genmodel.algos.tree.SharedTreeMojoModel

getNTreesPerGroup() - Method in class hex.genmodel.algos.tree.SharedTreeMojoModel

getNumCidx(int, int[]) - Static method in class hex.genmodel.algos.glrm.GlrmMojoModel

getNumClasses(int) - Method in class hex.genmodel.GenModel

Get number of classes in the given column.

getNumClasses(int) - Method in interface water.genmodel.IGeneratedModel

Get number of classes in in given column.

getNumClusters() - Method in class hex.genmodel.algos.kmeans.KMeansMojoModel

getNumClusters() - Method in interface hex.genmodel.IClusteringModel

Returns number of cluster used by this model.

getNumCols() - Method in class hex.genmodel.GenModel

Returns number of columns used as input for training (i.e., exclude response and offset columns).

getNumCols() - Method in interface water.genmodel.IGeneratedModel

Returns number of columns used as input for training (i.e., exclude response and offset columns).

getNumResponseClasses() - Method in class hex.genmodel.GenModel

Return a number of classes in response column.

getNumResponseClasses() - Method in interface water.genmodel.IGeneratedModel

Return a number of classes in response column.

getParent() - Method in class hex.genmodel.algos.tree.SharedTreeNode

getPrediction(double[], double[], double[], double) - Static method in class hex.genmodel.GenModel

Utility function to get a best prediction from an array of class prediction distribution.

getPredsSize(ModelCategory) - Method in class hex.genmodel.algos.deeplearning.DeeplearningMojoModel

getPredsSize(ModelCategory) - Method in class hex.genmodel.algos.glrm.GlrmMojoModel

getPredsSize() - Method in class hex.genmodel.GenModel

Returns the expected size of preds array which is passed to `predict(double[], double[])` function.

getPredsSize(ModelCategory) - Method in class hex.genmodel.GenModel

getPredsSize() - Method in interface water.genmodel.IGeneratedModel

Returns the expected size of preds array which is passed to `predict(double[], float[])` function.

getPredValue() - Method in class hex.genmodel.algos.tree.SharedTreeNode

getResponseDomainValues() - Method in class hex.genmodel.easy.EasyPredictModelWrapper

Get the array of levels for the response column.

getResponseIdx() - Method in class hex.genmodel.GenModel

Returns the index of the response column inside getDomains().

getResponseIdx() - Method in interface water.genmodel.IGeneratedModel

Returns an index of the response column inside getDomains().

getResponseName() - Method in class hex.genmodel.GenModel

The name of the response column.

getResponseName() - Method in interface water.genmodel.IGeneratedModel

Deprecated.

getRightChild() - Method in class hex.genmodel.algos.tree.SharedTreeNode

getRightChildIndex() - Method in class hex.genmodel.algos.tree.SharedTreeNode

getRowData(double[]) - Method in class hex.genmodel.algos.glrm.GlrmMojoModel

getRowHeaders() - Method in class hex.genmodel.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

getUnknownCategoricalsPerColumn() - Method in class hex.genmodel.easy.error.CountingErrorConsumer

Returns a thread-safe Map with column names as keys and number of observed unknown categorical values associated with each column.

getUnknownLevel() - Method in exception hex.genmodel.easy.exception.PredictUnknownCategoricalLevelException

Get the unknown level which was not seen during model training.

getUseExtendedOutput() - Method in class hex.genmodel.easy.EasyPredictModelWrapper.Config

getUUID() - Method in class hex.genmodel.GenModel

getUUID() - Method in class hex.genmodel.MojoModel

getUUID() - Method in interface water.genmodel.IGeneratedModel

Returns model's unique identifier.

getValidationMetrics() - Method in class hex.genmodel.attributes.ModelAttributes

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

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

graph - Variable in class hex.genmodel.algos.deepwater.caffe.nano.Deepwater.Cmd

H

H2OPredictor - Class in water.util

Created by magnus on 5/5/16.

H2OPredictor(String, String) - Constructor for class water.util.H2OPredictor

hashCode() - Method in class hex.genmodel.algos.tree.SharedTreeGraph

hashCode() - Method in class hex.genmodel.algos.tree.SharedTreeNode

hashCode() - Method in class hex.genmodel.algos.tree.SharedTreeSubgraph

hasRemaining() - Method in class hex.genmodel.utils.ByteBufferWrapper

hex - package hex

Shared code between the H2O runtime and generated POJO and POJO models.

hex.genmodel - package hex.genmodel

Low-level information about generated POJO and MOJO models.

hex.genmodel.algos.deeplearning - package hex.genmodel.algos.deeplearning

hex.genmodel.algos.deepwater - package hex.genmodel.algos.deepwater

hex.genmodel.algos.deepwater.caffe - package hex.genmodel.algos.deepwater.caffe

hex.genmodel.algos.deepwater.caffe.nano - package hex.genmodel.algos.deepwater.caffe.nano

hex.genmodel.algos.drf - package hex.genmodel.algos.drf

hex.genmodel.algos.ensemble - package hex.genmodel.algos.ensemble

hex.genmodel.algos.gbm - package hex.genmodel.algos.gbm

hex.genmodel.algos.glm - package hex.genmodel.algos.glm

hex.genmodel.algos.glrm - package hex.genmodel.algos.glrm

hex.genmodel.algos.isofor - package hex.genmodel.algos.isofor

hex.genmodel.algos.kmeans - package hex.genmodel.algos.kmeans

hex.genmodel.algos.pipeline - package hex.genmodel.algos.pipeline

hex.genmodel.algos.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.descriptor - package hex.genmodel.descriptor

hex.genmodel.easy - package hex.genmodel.easy

The easy prediction API for generated POJO and MOJO models.

hex.genmodel.easy.error - package hex.genmodel.easy.error

hex.genmodel.easy.exception - package hex.genmodel.easy.exception

Exceptions that can be raised by generated POJO and MOJO models.

hex.genmodel.easy.prediction - package hex.genmodel.easy.prediction

Prediction types that can be returned by generated POJO and MOJO models.

hex.genmodel.tools - package hex.genmodel.tools

Tools that use generated POJO and MOJO models.

hex.genmodel.utils - package hex.genmodel.utils

I

IClusteringModel - Interface in hex.genmodel

Clustering Model Interface

IGeneratedModel - Interface in water.genmodel

A generic interface to access generated models.

IGenModel - Interface in hex.genmodel

Interface publishing methods for generated models.

img2pixels(BufferedImage, int, int, int, float[], int, float[]) - Static method in class hex.genmodel.GenModel

impute(double) - Method in enum hex.genmodel.algos.glrm.GlrmLoss

\argmin_a L(u, a): Data imputation for real numeric values

impute_data(double[], double[], int, int, int[], boolean, double[], double[], GlrmLoss[], boolean, double[][], int[], int[]) - Static method in class hex.genmodel.algos.glrm.GlrmMojoModel

init() - Method in class hex.genmodel.algos.deeplearning.DeeplearningMojoModel

initializeAlphas(int) - Static method in class hex.genmodel.algos.glrm.GlrmMojoModel

InMemoryMojoReaderBackend - Class in hex.genmodel

InMemoryMojoReaderBackend(Map<String, byte[]>) - Constructor for class hex.genmodel.InMemoryMojoReaderBackend

inNames() - Method in class hex.genmodel.GenMunger

inputShape - Variable in class hex.genmodel.algos.deepwater.caffe.nano.Deepwater.Cmd

inputShape - Variable in class hex.genmodel.algos.deepwater.caffe.nano.Deepwater.Saved

INSTANCE - Static variable in class hex.genmodel.ModelMojoFactory

inTypes() - Method in class hex.genmodel.GenMunger

IOUtils - Class in hex.genmodel.utils

IOUtils() - Constructor for class hex.genmodel.utils.IOUtils

isAutoEncoder() - Method in class hex.genmodel.GenModel

Returns true if this model represents an AutoEncoder.

isAutoEncoder() - Method in interface water.genmodel.IGeneratedModel

isBitset() - Method in class hex.genmodel.algos.tree.SharedTreeNode

isBoolColumn(String[]) - Static method in class hex.genmodel.utils.ArrayUtils

Check to see if a column is a boolean column.

isClassifier() - Method in class hex.genmodel.GenModel

Returns true if this model represents a classifier, else it is used for regression.

isClassifier() - Method in interface water.genmodel.IGeneratedModel

isForBinary() - Method in enum hex.genmodel.algos.glrm.GlrmLoss

isForCategorical() - Method in enum hex.genmodel.algos.glrm.GlrmLoss

isForNumeric() - Method in enum hex.genmodel.algos.glrm.GlrmLoss

isInclusiveNa() - Method in class hex.genmodel.algos.tree.SharedTreeNode

isInRange(int) - Method in class hex.genmodel.utils.GenmodelBitSet

isLeaf() - Method in class hex.genmodel.algos.tree.SharedTreeNode

isLeftward() - Method in class hex.genmodel.algos.tree.SharedTreeNode

isNaVsRest() - Method in class hex.genmodel.algos.tree.SharedTreeNode

IsolationForestMojoModel - Class in hex.genmodel.algos.isofor

IsolationForestMojoModel(String[], String[][], String) - Constructor for class hex.genmodel.algos.isofor.IsolationForestMojoModel

IsolationForestMojoReader - Class in hex.genmodel.algos.isofor

IsolationForestMojoReader() - Constructor for class hex.genmodel.algos.isofor.IsolationForestMojoReader

isSupervised() - Method in 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

K

KernelParameters - Class in hex.genmodel.algos.psvm

KernelParameters() - Constructor for class hex.genmodel.algos.psvm.KernelParameters

KernelType - Enum in hex.genmodel.algos.psvm

KMeans_closest(double[][], double[], String[][]) - Static method in class hex.genmodel.GenModel

KMeans_distance(double[], float[], int[], double[], double[]) - Static method in class hex.genmodel.GenModel

KMeans_distance(double[], double[], String[][]) - Static method in class hex.genmodel.GenModel

KMeans_distances(double[][], double[], String[][], double[]) - Static method in class hex.genmodel.GenModel

Kmeans_preprocessData(double[], double[], double[], int[]) - Static method in class hex.genmodel.GenModel

Kmeans_preprocessData(double, int, double[], double[], int[]) - Static method in class hex.genmodel.GenModel

KMeans_simplex(double[][], double[], String[][]) - Static method in class hex.genmodel.GenModel

KMeansMojoModel - Class in hex.genmodel.algos.kmeans

KMeansMojoReader - Class in hex.genmodel.algos.kmeans

KMeansMojoReader() - Constructor for class hex.genmodel.algos.kmeans.KMeansMojoReader

L

l2norm(double[]) - Static method in class hex.genmodel.utils.ArrayUtils

l2norm2(double[]) - Static method in class hex.genmodel.utils.ArrayUtils

l2norm2(double[], boolean) - Static method in class hex.genmodel.utils.ArrayUtils

label - Variable in class hex.genmodel.easy.prediction.BinomialModelPrediction

Label of the predicted level.

label - Variable in class hex.genmodel.easy.prediction.MultinomialModelPrediction

Label of the predicted level.

label - Variable in class hex.genmodel.easy.prediction.OrdinalModelPrediction

Label of the predicted level.

labelIndex - Variable in class hex.genmodel.easy.prediction.BinomialModelPrediction

0 or 1.

labelIndex - Variable in class hex.genmodel.easy.prediction.MultinomialModelPrediction

Index number of the predicted class (aka categorical or factor level) in the response column.

labelIndex - Variable in class hex.genmodel.easy.prediction.OrdinalModelPrediction

Index number of the predicted class (aka categorical or factor level) in the response column.

leaf_node_assignment(double[]) - Method in class hex.genmodel.algos.gbm.GbmMojoModel

leafNodeAssignment(RowData) - Method in class hex.genmodel.easy.EasyPredictModelWrapper

leafNodeAssignmentExtended(RowData) - Method in class hex.genmodel.easy.EasyPredictModelWrapper

leafNodeAssignmentIds - Variable in class hex.genmodel.easy.prediction.AnomalyDetectionPrediction

leafNodeAssignmentIds - Variable in class hex.genmodel.easy.prediction.BinomialModelPrediction

leafNodeAssignmentIds - Variable in class hex.genmodel.easy.prediction.MultinomialModelPrediction

leafNodeAssignmentIds - Variable in class hex.genmodel.easy.prediction.RegressionModelPrediction

LeafNodeAssignments() - Constructor for class hex.genmodel.algos.tree.SharedTreeMojoModel.LeafNodeAssignments

leafNodeAssignments - Variable in class hex.genmodel.easy.prediction.AnomalyDetectionPrediction

leafNodeAssignments - Variable in class hex.genmodel.easy.prediction.BinomialModelPrediction

leafNodeAssignments - Variable in class hex.genmodel.easy.prediction.MultinomialModelPrediction

leafNodeAssignments - Variable in class hex.genmodel.easy.prediction.RegressionModelPrediction

learningRate - Variable in class hex.genmodel.algos.deepwater.caffe.nano.Deepwater.Cmd

lgrad(double, double) - Method in enum hex.genmodel.algos.glrm.GlrmLoss

\grad_u L(u,a): Derivative of the numeric loss function with respect to u

LinearOut() - Constructor for class hex.genmodel.algos.deeplearning.ActivationUtils.LinearOut

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

listAllLayers(BackendModel) - Method in class hex.genmodel.algos.deepwater.caffe.DeepwaterCaffeBackend

lmulCatBlock(double[], int, int[], boolean, double[][], int[]) - Static method in class hex.genmodel.algos.glrm.GlrmMojoModel

lmulNumCol(double[], int, boolean, double[][], int[]) - Static method in class hex.genmodel.algos.glrm.GlrmMojoModel

Load - Static variable in interface hex.genmodel.algos.deepwater.caffe.nano.Deepwater

load(String) - Static method in class hex.genmodel.MojoModel

Primary factory method for constructing MojoModel instances.

load(MojoReaderBackend) - Static method in class hex.genmodel.MojoModel

Advanced way of constructing Mojo models by supplying a custom mojoReader.

loadMeanImage(BackendModel, String) - Method in class hex.genmodel.algos.deepwater.caffe.DeepwaterCaffeBackend

loadParam(BackendModel, String) - Method in class hex.genmodel.algos.deepwater.caffe.DeepwaterCaffeBackend

loadParam(String) - Method in class hex.genmodel.algos.deepwater.caffe.DeepwaterCaffeModel

log(double) - Static method in 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

log_rescale(double[]) - Static method in class hex.genmodel.GenModel

loss(double, double) - Method in enum hex.genmodel.algos.glrm.GlrmLoss

Loss function for numeric variables

M

m - Variable in class hex.genmodel.easy.EasyPredictModelWrapper

main(String[]) - Static method in class hex.genmodel.tools.BuildPipeline

main(String[]) - Static method in class hex.genmodel.tools.MungeCsv

CSV reader and predictor test program.

main(String[]) - Static method in class hex.genmodel.tools.PredictCsv

main(String[]) - Static method in class hex.genmodel.tools.PrintMojo

main(String[]) - Static method in class water.util.H2OPredictor

makeContributionsPredictor() - Method in class hex.genmodel.algos.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

makeLeftChildNode(SharedTreeNode) - Method in class hex.genmodel.algos.tree.SharedTreeSubgraph

Make the left child of a node.

makeModel(String[], String[][], String) - Method in class hex.genmodel.algos.deeplearning.DeeplearningMojoReader

makeModel(String[], String[][], String) - Method in class hex.genmodel.algos.deepwater.DeepwaterMojoReader

makeModel(String[], String[][], String) - Method in class hex.genmodel.algos.drf.DrfMojoReader

makeModel(String[], String[][], String) - Method in class hex.genmodel.algos.ensemble.StackedEnsembleMojoReader

makeModel(String[], String[][], String) - Method in class hex.genmodel.algos.gbm.GbmMojoReader

makeModel(String[], String[][], String) - Method in class hex.genmodel.algos.glm.GlmMojoReader

makeModel(String[], String[][], String) - Method in class hex.genmodel.algos.glrm.GlrmMojoReader

makeModel(String[], String[][], String) - Method in class hex.genmodel.algos.isofor.IsolationForestMojoReader

makeModel(String[], String[][], String) - Method in class hex.genmodel.algos.kmeans.KMeansMojoReader

makeModel(String[], String[][], String) - Method in class hex.genmodel.algos.pipeline.MojoPipelineReader

makeModel(String[], String[][], String) - Method in class hex.genmodel.algos.svm.SvmMojoReader

makeModel(String[], String[][], String) - Method in class hex.genmodel.algos.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

MaxoutDropoutOut() - Constructor for class hex.genmodel.algos.deeplearning.ActivationUtils.MaxoutDropoutOut

MaxoutOut() - Constructor for class hex.genmodel.algos.deeplearning.ActivationUtils.MaxoutOut

mergeFrom(CodedInputByteBufferNano) - Method in class hex.genmodel.algos.deepwater.caffe.nano.Deepwater.Cmd

mergeFrom(CodedInputByteBufferNano) - Method in class hex.genmodel.algos.deepwater.caffe.nano.Deepwater.Saved

mimpute(double[]) - Method in enum hex.genmodel.algos.glrm.GlrmLoss

\argmin_a L(u, a): Data imputation for categorical values {0, 1, 2, ...}

minus(double, HashMap<String, String[]>) - Static method in class hex.genmodel.GenMunger

mlgrad(double[], int) - Method in enum hex.genmodel.algos.glrm.GlrmLoss

\grad_u L(u,a): Gradient of multidimensional loss function with respect to u

mlgrad(double[], int, double[], int) - Method in enum hex.genmodel.algos.glrm.GlrmLoss

\grad_u L(u,a): Gradient of multidimensional loss function with respect to u.

mloss(double[], int) - Method in enum hex.genmodel.algos.glrm.GlrmLoss

Loss function for categorical variables where the size of u represents the true column length.

mloss(double[], int, int) - Method in enum hex.genmodel.algos.glrm.GlrmLoss

Loss function for categorical variables performing same function as mloss above.

mod(double, HashMap<String, String[]>) - Static method in class hex.genmodel.GenMunger

MODEL_DETAILS_FILE - Static variable in class hex.genmodel.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) - 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

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

MojoReaderBackend - Interface in hex.genmodel

MojoReaderBackendFactory - Class in hex.genmodel

Factory class for vending MojoReaderBackend object that can be used to load MOJOs from different data sources.

MojoReaderBackendFactory() - Constructor for class hex.genmodel.MojoReaderBackendFactory

MojoReaderBackendFactory.CachingStrategy - Enum in hex.genmodel

mojoVersion() - Method in class hex.genmodel.AbstractMojoWriter

Version of the mojo file produced.

mojoVersion() - Method in class hex.genmodel.algos.deeplearning.DeeplearningMojoReader

mojoVersion() - Method in class hex.genmodel.algos.deepwater.DeepwaterMojoReader

mojoVersion() - Method in class hex.genmodel.algos.drf.DrfMojoReader

mojoVersion() - Method in class hex.genmodel.algos.ensemble.StackedEnsembleMojoReader

mojoVersion() - Method in class hex.genmodel.algos.gbm.GbmMojoReader

mojoVersion() - Method in class hex.genmodel.algos.glm.GlmMojoReader

mojoVersion() - Method in class hex.genmodel.algos.glrm.GlrmMojoReader

mojoVersion() - Method in class hex.genmodel.algos.isofor.IsolationForestMojoReader

mojoVersion() - Method in class hex.genmodel.algos.kmeans.KMeansMojoReader

mojoVersion() - Method in class hex.genmodel.algos.pipeline.MojoPipelineReader

mojoVersion() - Method in class hex.genmodel.algos.svm.SvmMojoReader

mojoVersion() - Method in class hex.genmodel.algos.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

momentum - Variable in class hex.genmodel.algos.deepwater.caffe.nano.Deepwater.Cmd

mse - Variable in class hex.genmodel.easy.prediction.AutoEncoderModelPrediction

Reconstruction mean squared error calculated from original and reconstructed data.

MultiModelMojoReader<M extends MojoModel> - Class in hex.genmodel

MultiModelMojoReader() - Constructor for class hex.genmodel.MultiModelMojoReader

MultinomialModelPrediction - Class in hex.genmodel.easy.prediction

Binomial classification model prediction.

MultinomialModelPrediction() - Constructor for class hex.genmodel.easy.prediction.MultinomialModelPrediction

multiply(double, HashMap<String, String[]>) - Static method in class hex.genmodel.GenMunger

MungeCsv - Class in hex.genmodel.tools

Simple driver program for reading a CSV file and munging it.

MungeCsv() - Constructor for class hex.genmodel.tools.MungeCsv

N

name - Variable in class hex.genmodel.algos.tree.SharedTreeSubgraph

name - Variable in class hex.genmodel.easy.prediction.SortedClassProbability

Name of this class level.

names() - Method in class hex.genmodel.GenMunger.Step

NaSplitDir - Enum in hex.genmodel.algos.tree

Copy of `hex.tree.DHistogram.NASplitDir` in package `h2o-algos`.

nchar(String, HashMap<String, String[]>) - Static method in class hex.genmodel.GenMunger

nclasses() - Method in 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

OrdinalModelPrediction - Class in hex.genmodel.easy.prediction

Ordinal classification model prediction.

OrdinalModelPrediction() - Constructor for class hex.genmodel.easy.prediction.OrdinalModelPrediction

original - Variable in class hex.genmodel.easy.prediction.AutoEncoderModelPrediction

Representation of the original input the way AutoEncoder model sees it (1-hot encoded categorical values)

outNames() - Method in class hex.genmodel.GenMunger

outNames() - Method in class hex.genmodel.GenMunger.Step

P

params() - Method in class hex.genmodel.GenMunger.Step

parse(String) - Static method in class hex.genmodel.MojoPipelineBuilder.MappingSpec

parseArrayOfDoubles(String) - Static method in class hex.genmodel.utils.ParseUtils

parseArrayOfInts(String) - Static method in class hex.genmodel.utils.ParseUtils

parseArrayOfLongs(String) - Static method in class hex.genmodel.utils.ParseUtils

parseEncodingMap() - Method in class hex.genmodel.algos.targetencoder.TargetEncoderMojoReader

parseFrom(byte[]) - Static method in class hex.genmodel.algos.deepwater.caffe.nano.Deepwater.Cmd

parseFrom(CodedInputByteBufferNano) - Static method in class hex.genmodel.algos.deepwater.caffe.nano.Deepwater.Cmd

parseFrom(byte[]) - Static method in class hex.genmodel.algos.deepwater.caffe.nano.Deepwater.Saved

parseFrom(CodedInputByteBufferNano) - Static method in class hex.genmodel.algos.deepwater.caffe.nano.Deepwater.Saved

parseModelJson(MojoReaderBackend) - Static method in class hex.genmodel.attributes.ModelJsonReader

ParseUtils - Class in hex.genmodel.utils

Helper function for parsing the serialized model.

ParseUtils() - Constructor for class hex.genmodel.utils.ParseUtils

path - Variable in class hex.genmodel.algos.deepwater.caffe.nano.Deepwater.Cmd

position() - Method in class hex.genmodel.utils.ByteBufferWrapper

postInit() - Method in class hex.genmodel.algos.tree.SharedTreeMojoModel

pow(double, HashMap<String, String[]>) - Static method in class hex.genmodel.GenMunger

preamble(ModelCategory, RowData) - Method in class hex.genmodel.easy.EasyPredictModelWrapper

preamble(ModelCategory, RowData, double) - Method in class hex.genmodel.easy.EasyPredictModelWrapper

pred(String) - Method in class water.util.H2OPredictor

predict(BackendModel, float[]) - Method in class hex.genmodel.algos.deepwater.caffe.DeepwaterCaffeBackend

predict(float[]) - Method in class hex.genmodel.algos.deepwater.caffe.DeepwaterCaffeModel

Predict - Static variable in interface hex.genmodel.algos.deepwater.caffe.nano.Deepwater

predict(RowData, ModelCategory) - Method in class hex.genmodel.easy.EasyPredictModelWrapper

Make a prediction on a new data point.

predict(RowData) - Method in class hex.genmodel.easy.EasyPredictModelWrapper

predict(RowData, double, double[]) - Method in class hex.genmodel.easy.EasyPredictModelWrapper

predict2(String, String) - Static method in class water.util.H2OPredictor

predict3(String, String, String) - Static method in class water.util.H2OPredictor

predictAnomalyDetection(RowData) - Method in class hex.genmodel.easy.EasyPredictModelWrapper

Make a prediction on a new data point using a Binomial model.

predictAutoEncoder(RowData) - Method in class hex.genmodel.easy.EasyPredictModelWrapper

Make a prediction on a new data point using an AutoEncoder model.

predictBinomial(RowData) - Method in class hex.genmodel.easy.EasyPredictModelWrapper

Make a prediction on a new data point using a Binomial model.

predictBinomial(RowData, double) - Method in class hex.genmodel.easy.EasyPredictModelWrapper

Make a prediction on a new data point using a Binomial model.

predictClustering(RowData) - Method in class hex.genmodel.easy.EasyPredictModelWrapper

Make a prediction on a new data point using a Clustering model.

PredictContributions - Interface in hex.genmodel

PredictContributionsFactory - Interface in hex.genmodel

MOJO Models that can calculate SHAP Values (contributions) should implement this interface

PredictCsv - Class in hex.genmodel.tools

Simple driver program for reading a CSV file and making predictions.

PredictCsv() - Constructor for class hex.genmodel.tools.PredictCsv

predictDimReduction(RowData) - Method in class hex.genmodel.easy.EasyPredictModelWrapper

Make a prediction on a new data point using a Dimension Reduction model (PCA, GLRM)

PredictException - Exception in hex.genmodel.easy.exception

All generated model exceptions that can occur on the various predict methods derive from this.

PredictException(String) - Constructor for exception hex.genmodel.easy.exception.PredictException

predictMultinomial(RowData) - Method in class hex.genmodel.easy.EasyPredictModelWrapper

Make a prediction on a new data point using a Multinomial model.

predictMultinomial(RowData, double) - Method in class hex.genmodel.easy.EasyPredictModelWrapper

Make a prediction on a new data point using a Multinomial model.

PredictNumberFormatException - Exception in hex.genmodel.easy.exception

Unknown type exception.

PredictNumberFormatException(String) - Constructor for exception hex.genmodel.easy.exception.PredictNumberFormatException

predictOrdinal(RowData) - Method in class hex.genmodel.easy.EasyPredictModelWrapper

Make a prediction on a new data point using a Ordinal model.

predictOrdinal(RowData, double) - Method in class hex.genmodel.easy.EasyPredictModelWrapper

Make a prediction on a new data point using a Ordinal model.

predictRegression(RowData) - Method in class hex.genmodel.easy.EasyPredictModelWrapper

Make a prediction on a new data point using a Regression model.

predictRegression(RowData, double) - Method in class hex.genmodel.easy.EasyPredictModelWrapper

Make a prediction on a new data point using a Regression model.

PredictUnknownCategoricalLevelException - Exception in hex.genmodel.easy.exception

Unknown categorical level exception.

PredictUnknownCategoricalLevelException(String, String, String) - Constructor for exception hex.genmodel.easy.exception.PredictUnknownCategoricalLevelException

PredictUnknownTypeException - Exception in hex.genmodel.easy.exception

Unknown type exception.

PredictUnknownTypeException(String) - Constructor for exception hex.genmodel.easy.exception.PredictUnknownTypeException

predictWord2Vec(RowData) - Method in class hex.genmodel.easy.EasyPredictModelWrapper

Lookup word embeddings for a given word (or set of words).

PredictWrongModelCategoryException - Exception in hex.genmodel.easy.exception

Wrong model category exception.

PredictWrongModelCategoryException(String) - Constructor for exception hex.genmodel.easy.exception.PredictWrongModelCategoryException

print() - Method in class hex.genmodel.algos.tree.SharedTreeGraph

Debug printout of graph structure.

print() - Method in class hex.genmodel.algos.tree.SharedTreeNode

print(PrintStream, String) - Method in class hex.genmodel.algos.tree.SharedTreeNode

printDot(PrintStream, int, boolean, String, PrintMojo.PrintTreeOptions) - Method in class hex.genmodel.algos.tree.SharedTreeGraph

Print graph output in a format readable by dot (graphviz).

PrintMojo - Class in hex.genmodel.tools

Print dot (graphviz) representation of one or more trees in a DRF or GBM model.

PrintMojo() - Constructor for class hex.genmodel.tools.PrintMojo

PrintMojo.PrintTreeOptions - Class in hex.genmodel.tools

PrintTreeOptions(boolean, int, int, 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.

put(int, int[]) - Method in class hex.genmodel.algos.targetencoder.EncodingMap

put(String, EncodingMap) - Method in class hex.genmodel.algos.targetencoder.EncodingMaps

R

randomSeed - Variable in class hex.genmodel.algos.deepwater.caffe.nano.Deepwater.Cmd

rank(boolean, double[][]) - Static method in class hex.genmodel.algos.glrm.GlrmMojoModel

readblob(String) - Method in class hex.genmodel.ModelMojoReader

Retrieve binary data previously saved to the mojo file using `writeblob(key, blob)`.

readBytes(File) - Method in class hex.genmodel.algos.deepwater.caffe.DeepwaterCaffeBackend

readFrom(MojoReaderBackend) - Static method in class hex.genmodel.ModelMojoReader

De-serializes a MojoModel, creating an instance of MojoModel useful for scoring and model evaluation.

readFrom(MojoReaderBackend, boolean) - Static method in class hex.genmodel.ModelMojoReader

De-serializes a MojoModel, creating an instance of MojoModel useful for scoring and model evaluation.

readkv(String) - Method in class hex.genmodel.ModelMojoReader

Retrieve value from the model's kv store which was previously put there using `writekv(key, value)`.

readkv(String, T) - Method in class hex.genmodel.ModelMojoReader

Retrieves the value associated with a given key.

readModelData() - Method in class hex.genmodel.algos.deeplearning.DeeplearningMojoReader

readModelData() - Method in class hex.genmodel.algos.deepwater.DeepwaterMojoReader

readModelData() - Method in class hex.genmodel.algos.drf.DrfMojoReader

readModelData() - Method in class hex.genmodel.algos.gbm.GbmMojoReader

readModelData() - Method in class hex.genmodel.algos.glm.GlmMojoReader

readModelData() - Method in class hex.genmodel.algos.glrm.GlrmMojoReader

readModelData() - Method in class hex.genmodel.algos.isofor.IsolationForestMojoReader

readModelData() - Method in class hex.genmodel.algos.kmeans.KMeansMojoReader

readModelData() - Method in class hex.genmodel.algos.svm.SvmMojoReader

readModelData() - Method in class hex.genmodel.algos.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.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.pipeline.MojoPipelineReader

readParentModelData() - Method in class hex.genmodel.MultiModelMojoReader

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.

reconstructed - Variable in class hex.genmodel.easy.prediction.AutoEncoderModelPrediction

Reconstructed data, the array has same length as the original input.

reconstructed - Variable in class hex.genmodel.easy.prediction.DimReductionModelPrediction

This field is only used for GLRM and not for PCA.

reconstructedRowData - Variable in class hex.genmodel.easy.prediction.AutoEncoderModelPrediction

Reconstructed data represented in RowData structure.

RectifierDropoutOut() - Constructor for class hex.genmodel.algos.deeplearning.ActivationUtils.RectifierDropoutOut

RectifierOut() - Constructor for class hex.genmodel.algos.deeplearning.ActivationUtils.RectifierOut

RegressionModelPrediction - Class in hex.genmodel.easy.prediction

Regression model prediction.

RegressionModelPrediction() - Constructor for class hex.genmodel.easy.prediction.RegressionModelPrediction

regularize(double[]) - Method in enum hex.genmodel.algos.glrm.GlrmRegularizer

Regularization function applied to a single row x_i or column y_j

regularize(double[][]) - Method in enum hex.genmodel.algos.glrm.GlrmRegularizer

Regularization applied to an entire matrix (sum over rows)

replaceall(String, HashMap<String, String[]>) - Static method in class hex.genmodel.GenMunger

rightChild - Variable in class hex.genmodel.algos.tree.SharedTreeNode

rootNode - Variable in class hex.genmodel.algos.tree.SharedTreeSubgraph

roundNPlace(float) - Method in class hex.genmodel.tools.PrintMojo.PrintTreeOptions

RowData - Class in hex.genmodel.easy

Column name to column value mapping for a new row (aka data point, observation, sample) to predict.

RowData() - Constructor for class hex.genmodel.easy.RowData

rows() - Method in class hex.genmodel.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, HashMap<String, Integer>, HashMap<Integer, HashMap<String, Integer>>, EasyPredictModelWrapper.ErrorConsumer, boolean, boolean) - 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

S

sampleOOBRows(int, float, Random) - Static method in class water.util.ModelUtils

Sample out-of-bag rows with given rate with help of given sampler.

sampleOOBRows(int, float, Random, int[]) - Static method in class water.util.ModelUtils

In-situ version of ModelUtils.sampleOOBRows(int, float, Random).

Save - Static variable in interface hex.genmodel.algos.deepwater.caffe.nano.Deepwater

Saved() - Constructor for class hex.genmodel.algos.deepwater.caffe.nano.Deepwater.Saved

SaveGraph - Static variable in interface hex.genmodel.algos.deepwater.caffe.nano.Deepwater

saveModel(BackendModel, String) - Method in class hex.genmodel.algos.deepwater.caffe.DeepwaterCaffeBackend

saveModel(String) - Method in class hex.genmodel.algos.deepwater.caffe.DeepwaterCaffeModel

saveParam(BackendModel, String) - Method in class hex.genmodel.algos.deepwater.caffe.DeepwaterCaffeBackend

saveParam(String) - Method in class hex.genmodel.algos.deepwater.caffe.DeepwaterCaffeModel

scaleInPlace(double[], double[], double[]) - Static method in class hex.genmodel.GenMunger

score - Variable in class hex.genmodel.easy.prediction.AnomalyDetectionPrediction

score0(double[], double, double[]) - Method in class hex.genmodel.algos.deeplearning.DeeplearningMojoModel

This method will be derived from the scoring/prediction function of deeplearning model itself.

score0(double[], double[]) - Method in class hex.genmodel.algos.deeplearning.DeeplearningMojoModel

score0(double[], double, double[]) - Method in class hex.genmodel.algos.deepwater.DeepwaterMojoModel

Corresponds to `hex.DeepWater.score0()`

score0(double[], double[]) - Method in class hex.genmodel.algos.deepwater.DeepwaterMojoModel

score0(double[], double, double[]) - Method in class hex.genmodel.algos.drf.DrfMojoModel

Corresponds to `hex.tree.drf.DrfMojoModel.score0()`

score0(double[], double[]) - Method in class hex.genmodel.algos.drf.DrfMojoModel

score0(double[], double[]) - Method in class hex.genmodel.algos.ensemble.StackedEnsembleMojoModel

score0(double[], double, double[]) - Method in class hex.genmodel.algos.gbm.GbmMojoModel

Corresponds to `hex.tree.gbm.GbmMojoModel.score0()`

score0(double[], double[]) - Method in class hex.genmodel.algos.gbm.GbmMojoModel

score0(double[], double[], long) - Method in class hex.genmodel.algos.glrm.GlrmMojoModel

score0(double[], double[]) - Method in class hex.genmodel.algos.glrm.GlrmMojoModel

This function corresponds to the DimReduction model category

score0(double[], double[]) - Method in class hex.genmodel.algos.isofor.IsolationForestMojoModel

score0(double[], double, double[]) - Method in class hex.genmodel.algos.isofor.IsolationForestMojoModel

score0(double[], double[]) - Method in class hex.genmodel.algos.kmeans.KMeansMojoModel

score0(double[], double[]) - Method in class hex.genmodel.algos.pipeline.MojoPipeline

score0(double[]) - 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

Deprecated.

use SharedTreeMojoModel.scoreTree(byte[], double[], boolean, String[][]) instead.

scoreTree(byte[], double[], boolean, String[][]) - Static method in class hex.genmodel.algos.tree.SharedTreeMojoModel

Highly efficient (critical path) tree scoring Given a tree (in the form of a byte array) and the row of input data, compute either this tree's predicted value when `computeLeafAssignment` is false, or the the decision path within the tree (but no more than 64 levels) when `computeLeafAssignment` is true.

scoreTree(double[]) - Method in class hex.genmodel.algos.tree.SharedTreeSubgraph

ScoreTree0 - Class in hex.genmodel.algos.tree

ScoreTree0() - Constructor for class hex.genmodel.algos.tree.ScoreTree0

scoreTree0(byte[], double[], int, boolean) - Static method in class hex.genmodel.algos.tree.SharedTreeMojoModel

Deprecated.

use SharedTreeMojoModel.scoreTree0(byte[], double[], boolean) instead.

scoreTree0(byte[], double[], boolean) - Static method in class hex.genmodel.algos.tree.SharedTreeMojoModel

SET IN STONE FOR MOJO VERSION "1.00" - DO NOT CHANGE

ScoreTree1 - Class in hex.genmodel.algos.tree

ScoreTree1() - Constructor for class hex.genmodel.algos.tree.ScoreTree1

scoreTree1(byte[], double[], int, boolean) - Static method in class hex.genmodel.algos.tree.SharedTreeMojoModel

Deprecated.

use SharedTreeMojoModel.scoreTree1(byte[], double[], boolean) instead.

scoreTree1(byte[], double[], boolean) - Static method in class hex.genmodel.algos.tree.SharedTreeMojoModel

SET IN STONE FOR MOJO VERSION "1.10" - DO NOT CHANGE

ScoreTree2 - Class in hex.genmodel.algos.tree

ScoreTree2() - Constructor for class hex.genmodel.algos.tree.ScoreTree2

scoreTreeRange(double[], int, int, double[]) - Method in class hex.genmodel.algos.tree.SharedTreeMojoModel

Generates (partial, per-class) predictions using only trees from a given range.

scoringDomains() - Method in interface hex.genmodel.descriptor.ModelDescriptor

Domains of categorical features.

separator - Variable in class hex.genmodel.tools.PredictCsv

SerializedName - Annotation Type in hex.genmodel.attributes.metrics

setCats(double[], double[], int[], int, int[], double[], double[], boolean) - Static method in class hex.genmodel.GenModel

setCats(double[], int[], int, int[], boolean) - Static method in class hex.genmodel.GenModel

setCol(int, String) - Method in class hex.genmodel.algos.tree.SharedTreeNode

setColName(String) - Method in class hex.genmodel.algos.tree.SharedTreeNode

setConvertInvalidNumbersToNa(boolean) - Method in class hex.genmodel.easy.EasyPredictModelWrapper.Config

Specify the default action when a string value cannot be converted to a number.

setConvertUnknownCategoricalLevelsToNa(boolean) - Method in class hex.genmodel.easy.EasyPredictModelWrapper.Config

Specify how to handle unknown categorical levels.

setDecimalPlace(int) - Method in class hex.genmodel.algos.tree.SharedTreeSubgraph

setDecimalPlaces - Variable in class hex.genmodel.algos.tree.SharedTreeSubgraph

setDomainValues(String[]) - Method in class hex.genmodel.algos.tree.SharedTreeNode

setEnableContributions(boolean) - Method in class hex.genmodel.easy.EasyPredictModelWrapper.Config

setEnableGLRMReconstrut(boolean) - Method in class hex.genmodel.easy.EasyPredictModelWrapper.Config

setEnableLeafAssignment(boolean) - Method in class hex.genmodel.easy.EasyPredictModelWrapper.Config

setEnableStagedProbabilities(boolean) - Method in class hex.genmodel.easy.EasyPredictModelWrapper.Config

setErrorConsumer(EasyPredictModelWrapper.ErrorConsumer) - Method in class hex.genmodel.easy.EasyPredictModelWrapper.Config

Specify an instance of EasyPredictModelWrapper.ErrorConsumer the EasyPredictModelWrapper is going to call whenever an error defined by the EasyPredictModelWrapper.ErrorConsumer instance occurs.

setFontSize(int) - Method in class hex.genmodel.algos.tree.SharedTreeSubgraph

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

setParameter(BackendModel, String, float) - Method in class hex.genmodel.algos.deepwater.caffe.DeepwaterCaffeBackend

setParameters(int) - Method in enum hex.genmodel.algos.glrm.GlrmLoss

Initialize additional parameters on the loss function.

setPredValue(float) - Method in class hex.genmodel.algos.tree.SharedTreeNode

setSplitValue(float) - Method in class hex.genmodel.algos.tree.SharedTreeNode

setSquaredError(float) - Method in class hex.genmodel.algos.tree.SharedTreeNode

setUseExtendedOutput(boolean) - Method in class hex.genmodel.easy.EasyPredictModelWrapper.Config

Specify whether to include additional metadata in the prediction output.

SharedTreeGraph - Class in hex.genmodel.algos.tree

Graph for representing a GBM or DRF forest.

SharedTreeGraph() - Constructor for class hex.genmodel.algos.tree.SharedTreeGraph

Make a new forest.

SharedTreeGraphConverter - Interface in hex.genmodel.algos.tree

Implementors of this interface are able to convert internal tree representation to a shared representation.

SharedTreeModelAttributes - Class in hex.genmodel.attributes

SharedTreeModelAttributes(JsonObject, M) - 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.ContributionsPredictor - Class in hex.genmodel.algos.tree

SharedTreeMojoReader<M extends SharedTreeMojoModel> - Class in hex.genmodel.algos.tree

SharedTreeMojoReader() - Constructor for class hex.genmodel.algos.tree.SharedTreeMojoReader

SharedTreeNode - Class in hex.genmodel.algos.tree

Node in a tree.

SharedTreeSubgraph - Class in hex.genmodel.algos.tree

Subgraph for representing a tree.

sin(double, HashMap<String, String[]>) - Static method in class hex.genmodel.GenMunger

sizes - Variable in class hex.genmodel.algos.deepwater.caffe.nano.Deepwater.Cmd

skip(int) - Method in class hex.genmodel.utils.ByteBufferWrapper

Skip over some bytes in the byte buffer.

SoftmaxOut() - Constructor for class hex.genmodel.algos.deeplearning.ActivationUtils.SoftmaxOut

solver - Variable in class hex.genmodel.algos.deepwater.caffe.nano.Deepwater.Saved

solverType - Variable in class hex.genmodel.algos.deepwater.caffe.nano.Deepwater.Cmd

sort(int[], double[]) - Static method in class hex.genmodel.utils.ArrayUtils

Sort an integer array of indices based on values Updates indices in place, keeps values the same

sort(int[], double[], int) - Static method in class hex.genmodel.utils.ArrayUtils

sortByDescendingClassProbability(BinomialModelPrediction) - Method in class hex.genmodel.easy.EasyPredictModelWrapper

A helper function to return an array of binomial class probabilities for a prediction in sorted order.

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

Success - Static variable in interface hex.genmodel.algos.deepwater.caffe.nano.Deepwater

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

toJson(BackendModel) - Method in class hex.genmodel.algos.deepwater.caffe.DeepwaterCaffeBackend

tolower(String, HashMap<String, String[]>) - Static method in class hex.genmodel.GenMunger

toString() - Method in class hex.genmodel.algos.tree.SharedTreeSubgraph

toupper(String, HashMap<String, String[]>) - Static method in class hex.genmodel.GenMunger

train(BackendModel, float[], float[]) - Method in class hex.genmodel.algos.deepwater.caffe.DeepwaterCaffeBackend

train(float[], float[]) - Method in class hex.genmodel.algos.deepwater.caffe.DeepwaterCaffeModel

Train - Static variable in interface hex.genmodel.algos.deepwater.caffe.nano.Deepwater

transform(RowData) - Method in class hex.genmodel.GenMunger.Step

transform0(String, float[]) - Method in class hex.genmodel.algos.word2vec.Word2VecMojoModel

transform0(String, float[]) - Method in interface hex.genmodel.algos.word2vec.WordEmbeddingModel

Transforms a given a word into a word vector

transformations - Variable in class hex.genmodel.easy.prediction.TargetEncoderPrediction

transformWithTargetEncoding(RowData) - Method in class hex.genmodel.easy.EasyPredictModelWrapper

Perform target encoding based on TargetEncoderMojoModel

treeName(int, int, String[]) - Static method in class hex.genmodel.algos.tree.SharedTreeMojoModel

TreeSHAP<R,N extends ai.h2o.algos.tree.INode<R>,S extends ai.h2o.algos.tree.INodeStat> - Class in hex.genmodel.algos.tree

TreeSHAP(N[], S[], int) - Constructor for class hex.genmodel.algos.tree.TreeSHAP

TreeSHAP.PathPointer - Class in hex.genmodel.algos.tree

TreeSHAPEnsemble<R> - Class in hex.genmodel.algos.tree

TreeSHAPEnsemble(Collection<TreeSHAPPredictor<R>>, float) - Constructor for class hex.genmodel.algos.tree.TreeSHAPEnsemble

TreeSHAPPredictor<R> - Interface in hex.genmodel.algos.tree

trim(String, HashMap<String, String[]>) - Static method in class hex.genmodel.GenMunger

tryParse(String, Object) - Static method in class hex.genmodel.utils.ParseUtils

type - Variable in class hex.genmodel.algos.deepwater.caffe.nano.Deepwater.Cmd

types - Variable in class hex.genmodel.algos.deepwater.caffe.nano.Deepwater.Cmd

types() - Method in class hex.genmodel.GenMunger.Step

U

unescapeNewlines(String) - Static method in class hex.genmodel.utils.StringEscapeUtils

Inverse function to escapeNewlines

unifyPreds(double[], double, double[]) - Method in class hex.genmodel.algos.drf.DrfMojoModel

unifyPreds(double[], double, double[]) - Method in class hex.genmodel.algos.gbm.GbmMojoModel

unifyPreds(double[], double, double[]) - Method in class hex.genmodel.algos.isofor.IsolationForestMojoModel

unifyPreds(double[], double, double[]) - Method in class hex.genmodel.algos.tree.SharedTreeMojoModel

Transforms tree predictions into the final model predictions.

unknownLevel - Variable in exception hex.genmodel.easy.exception.PredictUnknownCategoricalLevelException

unseenCategorical(String, Object, String) - Method in class hex.genmodel.easy.EasyPredictModelWrapper.ErrorConsumer

Previously unseen categorical level has been detected

unseenCategorical(String, Object, String) - Method in class hex.genmodel.easy.error.CountingErrorConsumer

unseenCategorical(String, Object, String) - Method in class hex.genmodel.easy.error.VoidErrorConsumer

useGpu - Variable in class hex.genmodel.algos.deepwater.caffe.nano.Deepwater.Cmd

uuid() - Method in interface hex.genmodel.descriptor.ModelDescriptor

V

validateInputs(String, double, int, int, int, int) - Method in class hex.genmodel.algos.deeplearning.NeuralNetwork

value() - Method in enum hex.genmodel.algos.tree.NaSplitDir

value - Variable in class hex.genmodel.easy.prediction.RegressionModelPrediction

This value may be Double.NaN, which means NA (this will happen with GLM, for example, if one of the input values for a new data point is NA).

valueOf(String) - Static method in enum hex.genmodel.algos.glrm.GlrmInitialization

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum hex.genmodel.algos.glrm.GlrmLoss

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum hex.genmodel.algos.glrm.GlrmRegularizer

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum hex.genmodel.algos.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.Table.ColumnType

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum hex.genmodel.MojoReaderBackendFactory.CachingStrategy

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum hex.genmodel.utils.DistributionFamily

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum hex.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.

values() - Static method in enum hex.genmodel.algos.glrm.GlrmInitialization

Returns an array containing the constants of this enum type, inthe order they are declared.

values() - Static method in enum hex.genmodel.algos.glrm.GlrmLoss

Returns an array containing the constants of this enum type, inthe order they are declared.

values() - Static method in enum hex.genmodel.algos.glrm.GlrmRegularizer

Returns an array containing the constants of this enum type, inthe order they are declared.

values() - Static method in enum hex.genmodel.algos.psvm.KernelType

Returns an array containing the constants of this enum type, inthe order they are declared.

values() - Static method in enum hex.genmodel.algos.tree.NaSplitDir

Returns an array containing the constants of this enum type, inthe order they are declared.

values() - Static method in enum hex.genmodel.attributes.Table.ColumnType

Returns an array containing the constants of this enum type, inthe order they are declared.

values() - Static method in enum hex.genmodel.MojoReaderBackendFactory.CachingStrategy

Returns an array containing the constants of this enum type, inthe order they are declared.

values() - Static method in enum hex.genmodel.utils.DistributionFamily

Returns an array containing the constants of this enum type, inthe order they are declared.

values() - Static method in enum hex.genmodel.utils.LinkFunctionType

Returns an array containing the constants of this enum type, inthe order they are declared.

values() - Static method in enum hex.ModelCategory

Returns an array containing the constants of this enum type, inthe 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

Word2VecMojoModel - Class in hex.genmodel.algos.word2vec

Word2VecMojoReader - Class in hex.genmodel.algos.word2vec

Word2VecMojoReader() - Constructor for class hex.genmodel.algos.word2vec.Word2VecMojoReader

Word2VecPrediction - Class in hex.genmodel.easy.prediction

Word2VecPrediction() - Constructor for class hex.genmodel.easy.prediction.Word2VecPrediction

WordEmbeddingModel - Interface in hex.genmodel.algos.word2vec

Interface for models implementing Word Embeddings

wordEmbeddings - Variable in class hex.genmodel.easy.prediction.Word2VecPrediction

writeblob(String, byte[]) - Method in class hex.genmodel.AbstractMojoWriter

Write a binary file to the MOJO archive.

writeBytes(File, byte[]) - Method in class hex.genmodel.algos.deepwater.caffe.DeepwaterCaffeBackend

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

writeTo(ZipOutputStream) - Method in class hex.genmodel.AbstractMojoWriter

writeTo(ZipOutputStream, String) - Method in class hex.genmodel.AbstractMojoWriter

writeTo(CodedOutputByteBufferNano) - Method in class hex.genmodel.algos.deepwater.caffe.nano.Deepwater.Cmd

writeTo(CodedOutputByteBufferNano) - Method in class hex.genmodel.algos.deepwater.caffe.nano.Deepwater.Saved

_

_accuracyEps - Variable in class hex.genmodel.algos.glrm.GlrmMojoModel

_activation - Variable in class hex.genmodel.algos.deeplearning.DeeplearningMojoModel

_activation - Variable in class hex.genmodel.algos.deeplearning.NeuralNetwork

_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

_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.deepwater.DeepwaterMojoModel

_catOffsets - Variable in class hex.genmodel.algos.glrm.GlrmMojoModel

_cats - Variable in class hex.genmodel.algos.deeplearning.DeeplearningMojoModel

_cats - Variable in class hex.genmodel.algos.deepwater.DeepwaterMojoModel

_catsA - Variable in class hex.genmodel.algos.deeplearning.DeeplearningMojoModel

_channels - Variable in class hex.genmodel.algos.deepwater.DeepwaterMojoModel

_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

Compute a graph of the forest.

_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.

_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

_gini - Variable in class hex.genmodel.attributes.metrics.MojoModelMetricsBinomial

_h2oVersion - Variable in class hex.genmodel.MojoModel

_height - Variable in class hex.genmodel.algos.deepwater.DeepwaterMojoModel

_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

_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.DomainMapConstructor

_m - Variable in class hex.genmodel.easy.RowToRawDataConverter

_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

_meanImageData - Variable in class hex.genmodel.algos.deepwater.DeepwaterMojoModel

_mini_batch_size - Variable in class hex.genmodel.algos.deeplearning.DeeplearningMojoModel

_mini_batch_size - Variable in class hex.genmodel.algos.deepwater.DeepwaterMojoModel

_model - Variable in class hex.genmodel.ModelMojoReader

_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

_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

_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.deepwater.DeepwaterMojoModel

_normMul - Variable in class hex.genmodel.algos.glrm.GlrmMojoModel

_normrespmul - Variable in class hex.genmodel.algos.deeplearning.DeeplearningMojoModel

_normRespMul - Variable in class hex.genmodel.algos.deepwater.DeepwaterMojoModel

_normrespsub - Variable in class hex.genmodel.algos.deeplearning.DeeplearningMojoModel

_normRespSub - Variable in class hex.genmodel.algos.deepwater.DeepwaterMojoModel

_normsub - Variable in class hex.genmodel.algos.deeplearning.DeeplearningMojoModel

_normSub - Variable in class hex.genmodel.algos.deepwater.DeepwaterMojoModel

_normSub - Variable in class hex.genmodel.algos.glrm.GlrmMojoModel

_nPlaces - Variable in class hex.genmodel.tools.PrintMojo.PrintTreeOptions

_nrowY - Variable in class hex.genmodel.algos.glrm.GlrmMojoModel

_ntree_groups - Variable in class hex.genmodel.algos.tree.SharedTreeMojoModel

_ntree_groups is the number of trees requested by the user.

_ntrees_per_group - Variable in class hex.genmodel.algos.tree.SharedTreeMojoModel

_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

_nums - Variable in class hex.genmodel.algos.deepwater.DeepwaterMojoModel

_numsA - Variable in class hex.genmodel.algos.deeplearning.DeeplearningMojoModel

_offsetColumn - Variable in class hex.genmodel.GenModel

Name of the column with offsets (used for certain types of models).

_outputs - Variable in class hex.genmodel.algos.deeplearning.NeuralNetwork

_outSize - Variable in class hex.genmodel.algos.deeplearning.NeuralNetwork

_params - Variable in class hex.genmodel.GenMunger.Step

_paths - Variable in class hex.genmodel.algos.tree.SharedTreeMojoModel.LeafNodeAssignments

_permutation - Variable in class hex.genmodel.algos.glrm.GlrmMojoModel

_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

_problem_type - Variable in class hex.genmodel.algos.deepwater.DeepwaterMojoModel

_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

_useAllFactorLevels - Variable in class hex.genmodel.algos.deepwater.DeepwaterMojoModel

_uuid - Variable in class hex.genmodel.MojoModel

_variable_importances - Variable in class hex.genmodel.algos.tree.SharedTreeMojoModel

_variables - Variable in class hex.genmodel.attributes.VariableImportances

_weightsAndBias - Variable in class hex.genmodel.algos.deeplearning.DeeplearningMojoModel

_weightsAndBias - Variable in class hex.genmodel.algos.deeplearning.NeuralNetwork

_width - Variable in class hex.genmodel.algos.deepwater.DeepwaterMojoModel

_withBlending - Variable in class hex.genmodel.algos.targetencoder.TargetEncoderMojoModel

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