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

  double

  stepSize()

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

  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

  • getStepSize

    double getStepSize()

  • stepSize

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

    Returns:

    (undocumented)