public class QuantileModel extends Model<QuantileModel,QuantileModel.QuantileParameters,QuantileModel.QuantileOutput>
Modifier and Type | Class and Description |
---|---|
static class |
QuantileModel.CombineMethod |
static class |
QuantileModel.QuantileOutput |
static class |
QuantileModel.QuantileParameters |
Model.DeepFeatures, Model.ExemplarMembers, Model.GLRMArchetypes, Model.InteractionPair, Model.JavaModelStreamWriter, Model.LeafNodeAssignment, Model.Output, Model.Parameters
Modifier and Type | Method and Description |
---|---|
ModelMetrics.MetricBuilder |
makeMetricBuilder(java.lang.String[] domain) |
protected double[] |
score0(double[] data,
double[] preds)
Subclasses implement the scoring logic.
|
adaptTestForTrain, adaptTestForTrain, addMetrics, addWarning, auc, checksum_impl, classification_error, cleanup_adapt, compareTo, defaultThreshold, deleteCrossValidationModels, deviance, deviance, fillScoringInfo, getToEigenVec, isSupervised, last_scored, lift_top_group, logloss, loss, mae, makeInteraction, makeInteractions, makeInteractions, makeSchema, makeScoringNames, mean_per_class_error, mse, predictScoreImpl, readAll_impl, remove_impl, score, score, score, score, score0, score0, score0, scoreMetrics, scoring_history, scoringDomains, testJavaScoring, toJava, toJava, toJava, toJavaCheckTooBig, toJavaInit, toJavaNCLASSES, toJavaPredictBody, toJavaPROB, toJavaSuper, toString, writeAll_impl
delete_and_lock, delete_and_lock, delete_and_lock, delete, delete, delete, read_lock, read_lock, read_lock, unlock_all, unlock, unlock, unlock, unlock, update, update, update, write_lock, write_lock, write_lock
checksum, readAll, remove, remove, remove, remove, writeAll
asBytes, clone, copyOver, frozenType, read, readExternal, readJSON, reloadFromBytes, toJsonString, write, writeExternal, writeJSON
public ModelMetrics.MetricBuilder makeMetricBuilder(java.lang.String[] domain)
makeMetricBuilder
in class Model<QuantileModel,QuantileModel.QuantileParameters,QuantileModel.QuantileOutput>
protected double[] score0(double[] data, double[] preds)
Model
score0
in class Model<QuantileModel,QuantileModel.QuantileParameters,QuantileModel.QuantileOutput>