public final class XGBoostJavaMojoModel extends XGBoostMojoModel
XGBoostMojoModel.ObjectiveType_catOffsets, _cats, _featureMap, _nums, _sparse, _useAllFactorLevels| Constructor and Description |
|---|
XGBoostJavaMojoModel(byte[] boosterBytes,
java.lang.String[] columns,
java.lang.String[][] domains,
java.lang.String responseColumn) |
| Modifier and Type | Method and Description |
|---|---|
void |
close() |
hex.genmodel.algos.tree.SharedTreeGraph |
convert(int treeNumber,
java.lang.String treeClass) |
void |
postReadInit() |
double[] |
score0(double[] doubles,
double offset,
double[] preds) |
_computeGraph, constructSubgraph, markOneHotEncodedCategoricals, score0, toPredsgetModelCategory, getUUID, isSupervised, load, load, nclasses, nfeaturesbitSetContains, bitSetIsInRange, calibrateClassProbabilities, 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, setInputpublic XGBoostJavaMojoModel(byte[] boosterBytes,
java.lang.String[] columns,
java.lang.String[][] domains,
java.lang.String responseColumn)
public void postReadInit()
postReadInit in class XGBoostMojoModelpublic final double[] score0(double[] doubles,
double offset,
double[] preds)
score0 in class hex.genmodel.GenModelpublic void close()
public hex.genmodel.algos.tree.SharedTreeGraph convert(int treeNumber,
java.lang.String treeClass)