hex.genmodel.algos.gbm

Class GbmMojoModel

java.lang.Object

hex.genmodel.GenModel

hex.genmodel.MojoModel

hex.genmodel.algos.tree.SharedTreeMojoModel

hex.genmodel.algos.gbm.GbmMojoModel

All Implemented Interfaces:

IGenModel, java.io.Serializable, IGeneratedModel

public final class GbmMojoModel
extends SharedTreeMojoModel

"Gradient Boosting Machine" MojoModel

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
DistributionFamily	_family
double	_init_f

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

_calib_glm_beta, _compressed_trees, _compressed_trees_aux, _mojo_version, _ntree_groups, _ntrees_per_group

Fields inherited from class hex.genmodel.MojoModel

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

Fields inherited from class hex.genmodel.GenModel

_domains, _names, _offsetColumn

Constructor Summary

Constructors

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

Method Summary

Methods

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) Corresponds to `hex.tree.drf.DrfMojoModel.score0()`

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

_computeGraph, calibrateClassProbabilities, getDecisionPath, scoreAllTrees, scoreTree, scoreTree0, scoreTree1, treeIndex

Methods inherited from class hex.genmodel.MojoModel

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

Methods inherited from class hex.genmodel.GenModel

bitSetContains, bitSetIsInRange, 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_tweedieInv, img2pixels, isAutoEncoder, isClassifier, KMeans_closest, KMeans_distance, KMeans_distance, Kmeans_preprocessData, Kmeans_preprocessData, KMeans_simplex, log_rescale, mapEnum, setInput

Methods inherited from class java.lang.Object

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

Field Detail

_family

public DistributionFamily _family

_init_f

public double _init_f

Constructor Detail

GbmMojoModel

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

Method Detail

score0

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

Corresponds to `hex.tree.drf.DrfMojoModel.score0()`

Overrides:

score0 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