hex.genmodel.algos.isofor

Class IsolationForestMojoModel

java.lang.Object

hex.genmodel.GenModel

hex.genmodel.MojoModel

hex.genmodel.algos.tree.SharedTreeMojoModel

hex.genmodel.algos.isofor.IsolationForestMojoModel

All Implemented Interfaces:

SharedTreeGraphConverter, IGenModel, java.io.Serializable, IGeneratedModel

public final class IsolationForestMojoModel
extends SharedTreeMojoModel

See Also:

Serialized Form

Nested Class Summary

Nested classes/interfaces inherited from class hex.genmodel.algos.tree.SharedTreeMojoModel

SharedTreeMojoModel.DecisionPathTracker<T>, SharedTreeMojoModel.LeafDecisionPathTracker, SharedTreeMojoModel.LeafNodeAssignments, SharedTreeMojoModel.StringDecisionPathTracker

Field Summary

Fields inherited from class hex.genmodel.algos.tree.SharedTreeMojoModel

_calib_glm_beta, _compressed_trees, _compressed_trees_aux, _ntree_groups, _ntrees_per_group

Fields inherited from class hex.genmodel.MojoModel

_balanceClasses, _category, _defaultThreshold, _h2oVersion, _modelClassDistrib, _mojo_version, _nclasses, _nfeatures, _priorClassDistrib, _supervised, _uuid

Fields inherited from class hex.genmodel.GenModel

_domains, _names, _offsetColumn, _responseColumn

Constructor Summary

Constructors

Constructor and Description
IsolationForestMojoModel(java.lang.String[] columns, java.lang.String[][] domains, java.lang.String responseColumn)

Method Summary

Modifier and Type	Method and Description
double[]	score0(double[] row, double[] preds) Subclasses implement the scoring logic.
double[]	score0(double[] row, double offset, double[] preds)
double[]	unifyPreds(double[] row, double offset, double[] preds) Transforms tree predictions into the final model predictions.

Methods inherited from class hex.genmodel.algos.tree.SharedTreeMojoModel

_computeGraph, calibrateClassProbabilities, computeTreeGraph, convert, getDecisionPath, getDecisionPath, getDecisionPath, getDecisionPathNames, getLeafNodeAssignments, getLeafNodeId, getNTreeGroups, getNTreesPerGroup, postInit, scoreAllTrees, scoreSingleTree, scoreStagedPredictions, scoreTree, scoreTree, scoreTree0, scoreTree0, scoreTree1, scoreTree1, scoreTreeRange, treeName

Methods inherited from class hex.genmodel.MojoModel

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

Methods inherited from class hex.genmodel.GenModel

bitSetContains, bitSetIsInRange, convertDouble2Float, correctProbabilities, createAuxKey, GBM_rescale, getColIdx, getDomainValues, getDomainValues, getDomainValues, getHeader, getModelCategories, getNames, getNumClasses, getNumCols, getNumResponseClasses, getPrediction, getPredsSize, getPredsSize, getResponseIdx, getResponseName, GLM_identityInv, GLM_inverseInv, GLM_logInv, GLM_logitInv, GLM_ologitInv, GLM_tweedieInv, img2pixels, isAutoEncoder, isClassifier, KMeans_closest, KMeans_distance, KMeans_distance, KMeans_distances, Kmeans_preprocessData, Kmeans_preprocessData, KMeans_simplex, log_rescale, mapEnum, setCats, setCats, setInput, setInput

Methods inherited from class java.lang.Object

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

Constructor Detail

IsolationForestMojoModel

public IsolationForestMojoModel(java.lang.String[] columns,
                                java.lang.String[][] domains,
                                java.lang.String responseColumn)

Method Detail

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

score0

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

Overrides:

score0 in class GenModel

unifyPreds

public double[] unifyPreds(double[] row,
                           double offset,
                           double[] preds)

Description copied from class: SharedTreeMojoModel

Transforms tree predictions into the final model predictions. For classification: converts tree preds into probability distribution and picks predicted class. For regression: projects tree prediction from link-space into the original space.

Specified by:

unifyPreds in class SharedTreeMojoModel

Parameters:

row - input row.

offset - offset.

preds - final output, same structure as of GenModel.score0(double[], double[]).

Returns:

preds array.