B C G H I K L M N S V W _ 

B

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

C

correctProbabilities(double[], double[], double[]) - Static method in class water.util.ModelUtils
Correct a given list of class probabilities produced as a prediction by a model back to prior class distribution

G

GBM_rescale(double[], 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
 
GenModel.ModelCategory - Enum in hex.genmodel
 
getModelCategory() - Method in class hex.genmodel.GenModel
 
getPrediction(double[], double[]) - Static method in class hex.genmodel.GenModel
Utility function to get a best prediction from an array of class prediction distribution.
getPrediction(double[]) - Static method in class water.util.ModelUtils
 
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.genmodel - package hex.genmodel
 

I

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

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

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

M

map(Map<String, Double>, double[]) - Method in class hex.genmodel.GenModel
Takes a HashMap mapping column names to doubles.
ModelUtils - Class in water.util
Shared static code to support modeling, prediction, and scoring.
ModelUtils() - Constructor for class water.util.ModelUtils
 

N

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

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
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
 

V

valueOf(String) - Static method in enum hex.genmodel.GenModel.ModelCategory
Returns the enum constant of this type with the specified name.
values() - Static method in enum hex.genmodel.GenModel.ModelCategory
Returns an array containing the constants of this enum type, in the order they are declared.

W

water.util - package water.util
 

_

_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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