public final class DrfModel extends TreeBasedModel
MojoModel.MojoReader_compressed_trees, _ntrees_balanceClasses, _category, _defaultThreshold, _modelClassDistrib, _nclasses, _nfeatures, _priorClassDistrib, _reader, _supervised, _uuid_domains, _names, _offsetColumn| Constructor and Description |
|---|
DrfModel(MojoModel.MojoReader cr,
java.util.Map<java.lang.String,java.lang.Object> info,
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.DrfModel.score0()`
|
getDecisionPath, scoreAllTrees, scoreTree, scoreTreegetModelCategory, getUUID, isSupervised, load, load, nclasses, nfeaturesbitSetContains, correctProbabilities, GBM_rescale, getColIdx, getDomainValues, getDomainValues, getDomainValues, getHeader, getNames, getNumClasses, getNumCols, getNumResponseClasses, getPrediction, getPredsSize, getResponseIdx, getResponseName, GLM_identityInv, GLM_inverseInv, GLM_logInv, GLM_logitInv, GLM_tweedieInv, isAutoEncoder, isClassifier, KMeans_closest, KMeans_distance, KMeans_distance, KMeans_simplex, log_rescale, map, mapEnum, predict, predict, score0, score0, score0public DrfModel(MojoModel.MojoReader cr, java.util.Map<java.lang.String,java.lang.Object> info, 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