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

Interface HasStepSize

All Superinterfaces:

Identifiable, Params, Serializable

All Known Subinterfaces:

FactorizationMachines, FactorizationMachinesParams, FMClassifierParams, FMRegressorParams, GBTClassifierParams, GBTParams, GBTRegressorParams, MultilayerPerceptronParams, Word2VecBase

All Known Implementing Classes:

FMClassificationModel, FMClassifier, FMRegressionModel, FMRegressor, GBTClassificationModel, GBTClassifier, GBTRegressionModel, GBTRegressor, MultilayerPerceptronClassificationModel, MultilayerPerceptronClassifier, Word2Vec, Word2VecModel

public interface HasStepSize
extends Params

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

Method Summary

Modifier and Type	Method	Description
double	getStepSize()
DoubleParam	stepSize()	Param for Step size to be used for each iteration of optimization (> 0).

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, explainParam, explainParams, extractParamMap, extractParamMap, get, getDefault, getOrDefault, getParam, hasDefault, hasParam, isDefined, isSet, onParamChange, paramMap, params, set, set, set, setDefault, setDefault, shouldOwn

Method Details

getStepSize

double getStepSize()

stepSize

DoubleParam stepSize()

Param for Step size to be used for each iteration of optimization (> 0).

Returns:

(undocumented)