public final class XGBoostNativeMojoModel extends XGBoostMojoModel
_catOffsets, _cats, _featureMap, _nums, _sparse, _useAllFactorLevels| Constructor and Description |
|---|
XGBoostNativeMojoModel(byte[] boosterBytes,
java.lang.String[] columns,
java.lang.String[][] domains,
java.lang.String responseColumn) |
| Modifier and Type | Method and Description |
|---|---|
static double[][] |
bulkScore0(double[][] doubles,
double[] offsets,
double[][] preds,
ml.dmlc.xgboost4j.java.Booster _booster,
int _nums,
int _cats,
int[] _catOffsets,
boolean _useAllFactorLevels,
int nclasses,
double[] _priorClassDistrib,
double _defaultThreshold,
boolean _sparse) |
void |
close() |
java.lang.String[] |
getBoosterDump(boolean withStats,
java.lang.String format) |
static void |
main(java.lang.String[] args) |
double[] |
score0(double[] doubles,
double offset,
double[] preds) |
static double[] |
score0(double[] doubles,
double offset,
double[] preds,
ml.dmlc.xgboost4j.java.Booster _booster,
int _nums,
int _cats,
int[] _catOffsets,
boolean _useAllFactorLevels,
int nclasses,
double[] _priorClassDistrib,
double _defaultThreshold,
boolean _sparse) |
score0getModelCategory, 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, setInput, setInputpublic XGBoostNativeMojoModel(byte[] boosterBytes,
java.lang.String[] columns,
java.lang.String[][] domains,
java.lang.String responseColumn)
public final double[] score0(double[] doubles,
double offset,
double[] preds)
score0 in class hex.genmodel.GenModelpublic static double[][] bulkScore0(double[][] doubles,
double[] offsets,
double[][] preds,
ml.dmlc.xgboost4j.java.Booster _booster,
int _nums,
int _cats,
int[] _catOffsets,
boolean _useAllFactorLevels,
int nclasses,
double[] _priorClassDistrib,
double _defaultThreshold,
boolean _sparse)
public static double[] score0(double[] doubles,
double offset,
double[] preds,
ml.dmlc.xgboost4j.java.Booster _booster,
int _nums,
int _cats,
int[] _catOffsets,
boolean _useAllFactorLevels,
int nclasses,
double[] _priorClassDistrib,
double _defaultThreshold,
boolean _sparse)
public void close()
public java.lang.String[] getBoosterDump(boolean withStats,
java.lang.String format)
public static void main(java.lang.String[] args)
throws java.io.IOException
java.io.IOException