hex.genmodel.algos.upliftdrf

Class UpliftDrfMojoModel

java.lang.Object

hex.genmodel.GenModel

hex.genmodel.MojoModel

hex.genmodel.algos.tree.SharedTreeMojoModel

hex.genmodel.algos.upliftdrf.UpliftDrfMojoModel

All Implemented Interfaces:

CalibrationMojoHelper.MojoModelWithCalibration, SharedTreeGraphConverter, TreeBackedMojoModel, IGenModel, java.io.Serializable, IGeneratedModel

public class UpliftDrfMojoModel
extends SharedTreeMojoModel

See Also:

Serialized Form

Nested Class Summary

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

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

Field Summary

Fields

Modifier and Type	Field and Description
protected double[]	_thresholds

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

__INTERNAL_MAX_TREE_DEPTH, _calib_glm_beta, _compressed_trees, _compressed_trees_aux, _genmodel_encoding, _isotonic_calibrator, _ntree_groups, _ntrees_per_group, _orig_domain_values, _orig_names, _orig_projection_array

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, _foldColumn, _names, _offsetColumn, _responseColumn, _treatmentColumn

Constructor Summary

Constructors

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

Method Summary

Modifier and Type	Method and Description
double	getInitF()
int	getPredsSize() Returns the expected size of preds array which is passed to `predict(double[], double[])` function.
int	getPredsSize(ModelCategory mc)
double[]	getThresholds()
double[]	score0(double[] row, double[] preds) Subclasses implement the scoring logic.
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, computeGraph, computeGraph, computeTreeGraph, computeTreeGraph, convert, convert, findMaxNodeId, getCalibGlmBeta, getCategoricalEncoding, getDecisionPath, getDecisionPath, getDecisionPath, getDecisionPathNames, getIsotonicCalibrator, getLeafNodeAssignments, getLeafNodeId, getNTreeGroups, getNTreesPerGroup, getOrigDomainValues, getOrigNames, getOrigProjectionArray, postInit, readAuxInfos, scoreAllTrees, scoreSingleTree, scoreStagedPredictions, scoreTree, scoreTree, scoreTree0, scoreTree0, scoreTree1, scoreTree1, scoreTreeRange, treeBytes, treeName, writeUpdatedAuxInfos

Methods inherited from class hex.genmodel.MojoModel

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

Methods inherited from class hex.genmodel.GenModel

bitSetContains, bitSetIsInRange, convertDouble2Float, correctProbabilities, createAuxKey, features, GBM_rescale, getColIdx, getDomainValues, getDomainValues, getDomainValues, getHeader, getModelCategories, getNames, getNumClasses, getNumCols, getNumResponseClasses, getOffsetName, getOrigNumCols, getOutputDomains, getOutputNames, getPrediction, getPredictionBinomial, getPredictionMultinomial, 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

Field Detail

_thresholds

protected double[] _thresholds

Constructor Detail

UpliftDrfMojoModel

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

Method Detail

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.

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

getInitF

public double getInitF()

getThresholds

public double[] getThresholds()

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

getPredsSize

public int getPredsSize(ModelCategory mc)

Overrides:

getPredsSize in class GenModel