hex.genmodel.algos.xgboost

Class XGBoostMojoModel

java.lang.Object

hex.genmodel.GenModel

hex.genmodel.MojoModel

hex.genmodel.algos.xgboost.XGBoostMojoModel

All Implemented Interfaces:

hex.genmodel.algos.tree.PlattScalingMojoHelper.MojoModelWithCalibration, hex.genmodel.algos.tree.SharedTreeGraphConverter, hex.genmodel.algos.tree.TreeBackedMojoModel, hex.genmodel.IGenModel, java.io.Closeable, java.io.Serializable, java.lang.AutoCloseable, water.genmodel.IGeneratedModel

Direct Known Subclasses:

XGBoostJavaMojoModel

public abstract class XGBoostMojoModel
extends hex.genmodel.MojoModel
implements hex.genmodel.algos.tree.TreeBackedMojoModel, hex.genmodel.algos.tree.SharedTreeGraphConverter, hex.genmodel.algos.tree.PlattScalingMojoHelper.MojoModelWithCalibration, java.io.Closeable

"Gradient Boosting Machine" MojoModel

See Also:

Serialized Form

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	XGBoostMojoModel.ObjectiveType

Field Summary

Fields

Modifier and Type	Field and Description
java.lang.String	_boosterType
protected double[]	_calib_glm_beta GLM's beta used for calibrating output probabilities using Platt Scaling.
int[]	_catOffsets
int	_cats
java.lang.String	_featureMap
boolean	_hasOffset
int	_ntrees
int	_nums
boolean	_sparse
boolean	_useAllFactorLevels

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

Constructor Summary

Constructors

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

Method Summary

Modifier and Type	Method and Description
boolean	calibrateClassProbabilities(double[] preds)
protected void	constructSubgraph(biz.k11i.xgboost.tree.RegTreeNode[] xgBoostNodes, biz.k11i.xgboost.tree.RegTreeNodeStat[] nodeStats, hex.genmodel.algos.tree.SharedTreeNode sharedTreeNode, int nodeIndex, hex.genmodel.algos.tree.SharedTreeSubgraph sharedTreeSubgraph, boolean[] oneHotEncodedMap, boolean inclusiveNA, java.lang.String[] features)
hex.genmodel.algos.tree.SharedTreeGraph	convert(int treeNumber, java.lang.String treeClass, hex.genmodel.algos.tree.ConvertTreeOptions options)
double[]	getCalibGlmBeta()
int	getNTreeGroups()
int	getNTreesPerGroup()
protected boolean[]	markOneHotEncodedCategoricals(java.lang.String[] featureMap)
void	postReadInit()
boolean	requiresOffset()
double[]	score0(double[] row, double[] preds)
static double[]	toPreds(double[] in, float[] out, double[] preds, int nclasses, double[] priorClassDistrib, double defaultThreshold)

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, getCategoricalEncoding, getColIdx, getDomainValues, getDomainValues, getDomainValues, getHeader, getModelCategories, getNames, getNumClasses, getNumCols, getNumResponseClasses, getOffsetName, getOrigDomainValues, getOrigNames, getOrigNumCols, getOrigProjectionArray, getOutputNames, getPrediction, getPredictionBinomial, getPredictionMultinomial, 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, nCatFeatures, score0, setCats, setCats, setInput, setInput

Methods inherited from class java.lang.Object

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

Methods inherited from interface hex.genmodel.algos.tree.TreeBackedMojoModel

getDecisionPath, getInitF, getLeafNodeAssignments

Methods inherited from interface hex.genmodel.algos.tree.SharedTreeGraphConverter

convert

Methods inherited from interface java.io.Closeable

close

Field Detail

_boosterType

public java.lang.String _boosterType

_ntrees

public int _ntrees

_nums

public int _nums

_cats

public int _cats

_catOffsets

public int[] _catOffsets

_useAllFactorLevels

public boolean _useAllFactorLevels

_sparse

public boolean _sparse

_featureMap

public java.lang.String _featureMap

_hasOffset

public boolean _hasOffset

_calib_glm_beta

protected double[] _calib_glm_beta

GLM's beta used for calibrating output probabilities using Platt Scaling.

Constructor Detail

XGBoostMojoModel

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

Method Detail

postReadInit

public void postReadInit()

requiresOffset

public boolean requiresOffset()

Overrides:

requiresOffset in class hex.genmodel.GenModel

score0

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

Specified by:

score0 in class hex.genmodel.GenModel

toPreds

public static double[] toPreds(double[] in,
                               float[] out,
                               double[] preds,
                               int nclasses,
                               double[] priorClassDistrib,
                               double defaultThreshold)

getNTreeGroups

public int getNTreeGroups()

Specified by:

getNTreeGroups in interface hex.genmodel.algos.tree.TreeBackedMojoModel

getNTreesPerGroup

public int getNTreesPerGroup()

Specified by:

getNTreesPerGroup in interface hex.genmodel.algos.tree.TreeBackedMojoModel

getCalibGlmBeta

public double[] getCalibGlmBeta()

Specified by:

getCalibGlmBeta in interface hex.genmodel.algos.tree.PlattScalingMojoHelper.MojoModelWithCalibration

calibrateClassProbabilities

public boolean calibrateClassProbabilities(double[] preds)

Overrides:

calibrateClassProbabilities in class hex.genmodel.GenModel

constructSubgraph

protected void constructSubgraph(biz.k11i.xgboost.tree.RegTreeNode[] xgBoostNodes,
                                 biz.k11i.xgboost.tree.RegTreeNodeStat[] nodeStats,
                                 hex.genmodel.algos.tree.SharedTreeNode sharedTreeNode,
                                 int nodeIndex,
                                 hex.genmodel.algos.tree.SharedTreeSubgraph sharedTreeSubgraph,
                                 boolean[] oneHotEncodedMap,
                                 boolean inclusiveNA,
                                 java.lang.String[] features)

markOneHotEncodedCategoricals

protected boolean[] markOneHotEncodedCategoricals(java.lang.String[] featureMap)

convert

public hex.genmodel.algos.tree.SharedTreeGraph convert(int treeNumber,
                                                       java.lang.String treeClass,
                                                       hex.genmodel.algos.tree.ConvertTreeOptions options)

Specified by:

convert in interface hex.genmodel.algos.tree.SharedTreeGraphConverter