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

Interface HasLoss

All Superinterfaces:

Identifiable, Params, Serializable

All Known Subinterfaces:

LinearRegressionParams

All Known Implementing Classes:

LinearRegression, LinearRegressionModel

public interface HasLoss
extends Params

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

Method Summary

Modifier and Type	Method	Description
String	getLoss()
Param<String>	loss()	Param for the loss function to be optimized.

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

getLoss

String getLoss()

loss

Param<String> loss()

Param for the loss function to be optimized.

Returns:

(undocumented)