hex.genmodel.algos.klime

Class KLimeMojoModel

java.lang.Object

hex.genmodel.GenModel

hex.genmodel.MojoModel

hex.genmodel.algos.klime.KLimeMojoModel

All Implemented Interfaces:

IGenModel, java.io.Serializable, IGeneratedModel

public class KLimeMojoModel
extends MojoModel

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
java.util.EnumSet<ModelCategory>	getModelCategories() Override this for models that may produce results in different categories.
int	getPredsSize() Returns the expected size of preds array which is passed to `predict(double[], double[])` function.
GlmMojoModel	getRegressionModel(int cluster)
double[]	score0(double[] row, double[] preds) Subclasses implement the scoring logic.

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, getNames, getNumClasses, getNumCols, getNumResponseClasses, getOffsetName, getOrigDomainValues, getOrigNames, getOrigNumCols, getOrigProjectionArray, getOutputDomains, getOutputNames, getPrediction, getPredictionBinomial, getPredictionMultinomial, 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, score0, setCats, setCats, setInput, setInput

Methods inherited from class java.lang.Object

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

Method Detail

getModelCategories

public java.util.EnumSet<ModelCategory> getModelCategories()

Description copied from class: GenModel

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

Specified by:

getModelCategories in interface IGenModel

Overrides:

getModelCategories in class GenModel

score0

public double[] score0(double[] row,
                       double[] preds)

Description copied from class: GenModel

Subclasses implement the scoring logic. The data is pre-loaded into a re-used temp array, in the order the model expects. The predictions are loaded into the re-used temp array, which is also returned. This call exactly matches the hex.Model.score0, but uses the light-weight GenModel class.

Specified by:

score0 in class GenModel

getRegressionModel

public GlmMojoModel getRegressionModel(int cluster)

getPredsSize

public int getPredsSize()

Description copied from class: GenModel

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

Specified by:

getPredsSize in interface IGeneratedModel

Overrides:

getPredsSize in class GenModel

Returns:

expected size of preds array