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

A

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

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

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

AutoEncoderModelPrediction - Class in hex.genmodel.easy.prediction

TODO

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

B

BinomialModelPrediction - Class in hex.genmodel.easy.prediction

Binomial classification model prediction.

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

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

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

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.

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

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

compareTo(Object) - Method in class hex.genmodel.easy.prediction.SortedClassProbability

Comparison implementation for this object type.

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

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

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

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

D

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

DistributionFamily - Enum in hex.genmodel.utils

Used to be `hex.Distribution.Family`.

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

DrfModel - Class in hex.genmodel.algos

"Distributed Random Forest" MojoModel

DrfModel(MojoModel.MojoReader, Map<String, Object>, String[], String[][]) - Constructor for class hex.genmodel.algos.DrfModel

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

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

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

F

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

fillDefault(String[]) - Method in class hex.genmodel.GenMunger

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

G

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

GbmModel - Class in hex.genmodel.algos

"Gradient Boosting Machine" MojoModel

GbmModel(MojoModel.MojoReader, Map<String, Object>, String[], String[][]) - Constructor for class hex.genmodel.algos.GbmModel

GenModel - Class in hex.genmodel

This is a helper class to support Java generated models.

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

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

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

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

getBinaryFile(String) - Method in interface hex.genmodel.MojoModel.MojoReader

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.

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

Get the column name for which the unknown level was given as input.

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

getDecisionPath(double) - Static method in class hex.genmodel.algos.TreeBasedModel

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.

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

???

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

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

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.

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.

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.

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() - Method in class hex.genmodel.GenModel

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

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

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

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.

getTextFile(String) - Method in interface hex.genmodel.MojoModel.MojoReader

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

Get the total number unknown categorical levels seen.

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

Get unknown categorical level counts.

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

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

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.

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

H

hex - package hex

Shared code between the H2O runtime and generated POJO models.

hex.genmodel - package hex.genmodel

Low-level information about generated POJO models.

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

hex.genmodel.annotations - package hex.genmodel.annotations

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

The easy prediction API for generated POJO models.

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

Exceptions that can be raised by generated POJO models.

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

Prediction types that can be returned by generated POJO models.

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

Tools that use generated POJO models.

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

I

IGeneratedModel - Interface in water.genmodel

A generic interface to access generated models.

IGenModel - Interface in hex.genmodel

Interface publishing methods for generated models.

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

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

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

Returns true if this model represents an AutoEncoder.

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

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

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

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

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

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

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

L

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.

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.

link(double) - Method in enum hex.genmodel.utils.DistributionFamily

Canonical link

linkInv(double) - Method in enum hex.genmodel.utils.DistributionFamily

Canonical link inverse

linkInvString(String) - Method in enum hex.genmodel.utils.DistributionFamily

String version of link inverse (for POJO scoring code generation)

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

Primary factory method for constructing MojoModel instances.

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

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

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

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

M

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

map(Map<String, Double>, double[]) - Method in class hex.genmodel.GenModel

Takes a HashMap mapping column names to doubles.

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.

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

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

ModelCategory - Enum in hex

Different prediction categories for models.

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

MojoModel - Class in hex.genmodel

Prediction model based on the persisted binary data.

MojoModel(MojoModel.MojoReader, Map<String, Object>, String[], String[][]) - Constructor for class hex.genmodel.MojoModel

MojoModel.MojoReader - Interface in hex.genmodel

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.easy.prediction.SortedClassProbability

Name of this class level.

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

NaSplitDir - Enum in hex.genmodel.utils

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

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

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

Returns number of output classes for classifiers, 1 for regression models, and 0 for unsupervised models.

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

Returns number of output classes for classifiers or 1 for regression models.

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

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

O

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

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

P

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

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

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

ParseUtils - Class in hex.genmodel.utils

Helper function for parsing the serialized model.

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

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

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

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

Make a prediction on a new data point.

predict(double[], float[]) - Method in class hex.genmodel.GenModel

predict(double[], float[], int) - Method in class hex.genmodel.GenModel

predict(double[], float[]) - Method in interface water.genmodel.IGeneratedModel

Deprecated.

use method IGenModel#score0

predict(double[], float[], int) - Method in interface water.genmodel.IGeneratedModel

Predict the given row and return prediction using given number of iterations (e.g., number of trees from forest).

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.

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

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

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.

predictRegression(RowData) - 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

PredictWrongModelCategoryException - Exception in hex.genmodel.easy.exception

Wrong model category exception.

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

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

Prediction value for this class level.

R

RegressionModelPrediction - Class in hex.genmodel.easy.prediction

Regression model prediction.

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

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

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

S

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

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

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

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

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

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

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

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

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

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

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

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(Map<String, Double>, double[], double[]) - Method in class hex.genmodel.GenModel

score0(Map<String, Double>, double[]) - Method in class hex.genmodel.GenModel

score0(Map<String, Double>) - Method in class hex.genmodel.GenModel

scoreAllTrees(double[], double[], int) - Method in class hex.genmodel.algos.TreeBasedModel

Score all trees and fill in the `preds` array.

scoreTree(byte[], double[], int, boolean) - Static method in class hex.genmodel.algos.TreeBasedModel

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

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

Specify how to handle unknown categorical levels.

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

Specify model object to wrap.

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

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

Skip over some bytes in the byte buffer.

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.

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

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

SortedClassProbability - Class in hex.genmodel.easy.prediction

Class probability.

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

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

T

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

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

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

TreeBasedModel - Class in hex.genmodel.algos

Common ancestor for DrfModel and GbmModel.

TreeBasedModel(MojoModel.MojoReader, Map<String, Object>, String[], String[][]) - Constructor for class hex.genmodel.algos.TreeBasedModel

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

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

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

U

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

V

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).

value() - Method in enum hex.genmodel.utils.NaSplitDir

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.NaSplitDir

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.utils.DistributionFamily

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

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

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

values() - Static method in enum hex.ModelCategory

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

W

water.genmodel - package water.genmodel

Deprecated (see hex.genmodel instead).

water.util - package water.util

Deprecated (see hex.util instead).

_

_balanceClasses - Variable in class hex.genmodel.MojoModel

_category - Variable in class hex.genmodel.MojoModel

_compressed_trees - Variable in class hex.genmodel.algos.TreeBasedModel

_defaultThreshold - Variable in class hex.genmodel.MojoModel

_domains - Variable in class hex.genmodel.GenModel

Categorical (factor/enum) mappings, per column.

_modelClassDistrib - Variable in class hex.genmodel.MojoModel

_names - Variable in class hex.genmodel.GenModel

Column names; last is response for supervised models

_nclasses - Variable in class hex.genmodel.MojoModel

_nfeatures - Variable in class hex.genmodel.MojoModel

_ntrees - Variable in class hex.genmodel.algos.TreeBasedModel

_offsetColumn - Variable in class hex.genmodel.GenModel

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

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

_priorClassDistrib - Variable in class hex.genmodel.MojoModel

_reader - Variable in class hex.genmodel.MojoModel

_steps - Variable in class hex.genmodel.GenMunger

_supervised - Variable in class hex.genmodel.MojoModel

_uuid - Variable in class hex.genmodel.MojoModel

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