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.GLRMArchetypes, Model.JavaModelStreamWriter, 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, checksum_impl, cleanup_adapt, defaultThreshold, deleteCrossValidationModels, deviance, isSupervised, predictScoreImpl, readAll_impl, remove_impl, score, score, score, score0, score0, score0, scoreMetrics, testJavaScoring, toJava, toJava, toJava, toJavaCheckTooBig, toJavaInit, toJavaNCLASSES, toJavaPredictBody, toJavaPROB, toJavaSuper, toString, writeAll_impldelete_and_lock, delete, delete, delete, read_lock, read_lock, unlock_all, unlock, unlock, update, write_lockchecksum, readAll, remove, remove, remove, remove, writeAllclone, frozenType, read_impl, read, readExternal, readJSON_impl, readJSON, toJsonString, write_impl, write, writeExternal, writeJSON_impl, writeJSONpublic ModelMetrics.MetricBuilder makeMetricBuilder(java.lang.String[] domain)
makeMetricBuilder in class Model<QuantileModel,QuantileModel.QuantileParameters,QuantileModel.QuantileOutput>protected double[] score0(double[] data,
double[] preds)
Modelscore0 in class Model<QuantileModel,QuantileModel.QuantileParameters,QuantileModel.QuantileOutput>