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A

AbstractPredictException - Exception in hex.genmodel.easy.exception

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

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

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

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

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

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

E

EasyPredictModelWrapper - Class in hex.genmodel.easy

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

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

Create a wrapper for a generated model.

G

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

GenModel - Class in hex.genmodel

This is a helper class to support Java generated models.

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

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

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.

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

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

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

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

???

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

Get the category (type) of model.

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

Returns this model category.

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

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

The names of columns used in the model.

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

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

Get number of classes in in given column.

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

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

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

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

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

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

Returns the expected size of preds array which is passed to IGeneratedModel.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

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

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

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

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

Deprecated.

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

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

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.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.

I

IGeneratedModel - Interface in water.genmodel

A generic interface to access generated models.

IGenModel - Interface in hex.genmodel

Interface publishing methods for generated models.

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

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

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

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

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

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

Returns true for supervised models.

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

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.

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

M

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

CSV reader and predictor test program.

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

mapEnum(int, String) - Method in interface water.genmodel.IGeneratedModel

Maps given column's enum to integer used by this model.

ModelCategory - Enum in hex

Different prediction categories for models.

ModelUtils - Class in water.util

Shared static code to support modeling, prediction, and scoring.

ModelUtils() - Constructor for class water.util.ModelUtils

MultinomialModelPrediction - Class in hex.genmodel.easy.prediction

Binomial classification model prediction.

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

N

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

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

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

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

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

Returns number of input features.

P

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

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

R

RegressionModelPrediction - Class in hex.genmodel.easy.prediction

Regression model prediction.

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

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).

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

Subclasses implement the scoring logic.

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

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

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).

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.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).

_

_domains - Variable in class hex.genmodel.GenModel

Categorical/factor/enum mappings, per column.

_names - Variable in class hex.genmodel.GenModel

Column names; last is response for supervised models

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