org.apache.spark.ml.param.shared

Interface HasElasticNetParam

All Superinterfaces:

Identifiable, Params, java.io.Serializable

All Known Subinterfaces:

LinearRegressionParams, LogisticRegressionParams

All Known Implementing Classes:

LinearRegression, LinearRegressionModel, LogisticRegression, LogisticRegressionModel

public interface HasElasticNetParam
extends Params

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

Method Summary

Modifier and Type	Method and Description
DoubleParam	elasticNetParam() Param for the ElasticNet mixing parameter, in range [0, 1].
double	getElasticNetParam()

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

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

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

toString, uid

Method Detail

elasticNetParam

DoubleParam elasticNetParam()

Param for the ElasticNet mixing parameter, in range [0, 1]. For alpha = 0, the penalty is an L2 penalty. For alpha = 1, it is an L1 penalty.

Returns:

(undocumented)

getElasticNetParam

double getElasticNetParam()