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
Trait for shared param stepSize. This trait may be changed or
removed between minor versions.
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Method Summary
Modifier and TypeMethodDescriptiondouble
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
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Method Details
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getStepSize
double getStepSize() -
stepSize
DoubleParam stepSize()Param for Step size to be used for each iteration of optimization (> 0).- Returns:
- (undocumented)
-