Package org.apache.spark.ml.param.shared

Interface HasThreshold

All Superinterfaces:

Identifiable, Params, Serializable

All Known Subinterfaces:

LinearSVCParams, LogisticRegressionParams

All Known Implementing Classes:

Binarizer, LinearSVC, LinearSVCModel, LogisticRegression, LogisticRegressionModel

public interface HasThreshold
extends Params

Trait for shared param threshold. This trait may be changed or removed between minor versions.

Method Summary

Modifier and Type	Method	Description
double	getThreshold()
DoubleParam	threshold()	Param for threshold in binary classification prediction, in range [0, 1].

Methods inherited from interface org.apache.spark.ml.util.Identifiable

toString, uid

Methods inherited from interface org.apache.spark.ml.param.Params

clear, copy, copyValues, defaultCopy, defaultParamMap, estimateMatadataSize, explainParam, explainParams, extractParamMap, extractParamMap, get, getDefault, getOrDefault, getParam, hasDefault, hasParam, isDefined, isSet, onParamChange, paramMap, params, set, set, set, setDefault, setDefault, shouldOwn

Method Details

getThreshold

double getThreshold()

threshold

DoubleParam threshold()

Param for threshold in binary classification prediction, in range [0, 1].

Returns:

(undocumented)