hex.genmodel.algos.glm

Class GlmMojoModel

java.lang.Object

hex.genmodel.GenModel

hex.genmodel.MojoModel

hex.genmodel.algos.glm.GlmMojoModelBase

hex.genmodel.algos.glm.GlmMojoModel

All Implemented Interfaces:

IGenModel, java.io.Serializable, IGeneratedModel

public class GlmMojoModel
extends GlmMojoModelBase

See Also:

Serialized Form

Field Summary

Fields inherited from class hex.genmodel.MojoModel

_algoName, _balanceClasses, _category, _defaultThreshold, _h2oVersion, _modelAttributes, _modelClassDistrib, _modelDescriptor, _mojo_version, _nclasses, _nfeatures, _priorClassDistrib, _reproducibilityInformation, _supervised, _uuid

Fields inherited from class hex.genmodel.GenModel

_domains, _names, _offsetColumn, _responseColumn, _treatmentColumn

Method Summary

Modifier and Type	Method and Description
double[]	applyCoefficients(double[] data, double[] output, int destPos) Applies GLM coefficients to a given row of data to calculate feature contributions.
double	getIntercept()
double[]	score0(double[] data, double offset, double[] preds)

Methods inherited from class hex.genmodel.algos.glm.GlmMojoModelBase

getBeta, getDispersionEstimated, getOutputNames, score0

Methods inherited from class hex.genmodel.MojoModel

getModelCategory, getUUID, isSupervised, load, load, load, nclasses, nfeatures

Methods inherited from class hex.genmodel.GenModel

bitSetContains, bitSetIsInRange, calibrateClassProbabilities, convertDouble2Float, correctProbabilities, createAuxKey, features, GBM_rescale, getCategoricalEncoding, getColIdx, getDomainValues, getDomainValues, getDomainValues, getHeader, getModelCategories, getNames, getNumClasses, getNumCols, getNumResponseClasses, getOffsetName, getOrigDomainValues, getOrigNames, getOrigNumCols, getOrigProjectionArray, getOutputDomains, getPrediction, getPredictionBinomial, getPredictionMultinomial, getPredsSize, getPredsSize, getResponseIdx, getResponseName, GLM_identityInv, GLM_inverseInv, GLM_logInv, GLM_logitInv, GLM_ologitInv, GLM_tweedieInv, img2pixels, internal_threadSafeInstance, isAutoEncoder, isClassifier, KMeans_closest, KMeans_distance, KMeans_distance, KMeans_distances, Kmeans_preprocessData, Kmeans_preprocessData, KMeans_simplex, log_rescale, mapEnum, nCatFeatures, requiresOffset, setCats, setCats, setInput, setInput

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Method Detail

score0

public final double[] score0(double[] data,
                             double offset,
                             double[] preds)

Overrides:

score0 in class GenModel

applyCoefficients

public double[] applyCoefficients(double[] data,
                                  double[] output,
                                  int destPos)

Applies GLM coefficients to a given row of data to calculate feature contributions. Note: for internal purposes only (k-LIME)

Parameters:

data - input row of data (same input as to glmScore0)

output - target output array

destPos - index to the output array where the result should start

Returns:

feature contributions, prediction = linkFunction(sum(output) + intercept)

getIntercept

public double getIntercept()