public final class GbmMojoModel extends SharedTreeMojoModel
Modifier and Type | Field and Description |
---|---|
DistributionFamily |
_family |
double |
_init_f |
_calib_glm_beta, _compressed_trees, _compressed_trees_aux, _mojo_version, _ntree_groups, _ntrees_per_group
_balanceClasses, _category, _defaultThreshold, _modelClassDistrib, _nclasses, _nfeatures, _priorClassDistrib, _supervised, _uuid
_domains, _names, _offsetColumn
Constructor and Description |
---|
GbmMojoModel(java.lang.String[] columns,
java.lang.String[][] domains) |
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()`
|
_computeGraph, calibrateClassProbabilities, getDecisionPath, scoreAllTrees, scoreTree, scoreTree0, scoreTree1, treeIndex
getModelCategory, getUUID, isSupervised, load, load, nclasses, nfeatures
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
public DistributionFamily _family
public double _init_f
public GbmMojoModel(java.lang.String[] columns, java.lang.String[][] domains)
public final double[] score0(double[] row, double offset, double[] preds)
public double[] score0(double[] row, double[] preds)
GenModel