Package org.apache.spark.ml.param.shared
Interface HasTol
- All Superinterfaces:
Identifiable
,Params
,Serializable
,scala.Serializable
- All Known Subinterfaces:
AFTSurvivalRegressionParams
,FactorizationMachines
,FactorizationMachinesParams
,FMClassifierParams
,FMRegressorParams
,GaussianMixtureParams
,GeneralizedLinearRegressionBase
,KMeansParams
,LinearRegressionParams
,LinearSVCParams
,LogisticRegressionParams
,MultilayerPerceptronParams
- All Known Implementing Classes:
AFTSurvivalRegression
,AFTSurvivalRegressionModel
,FMClassificationModel
,FMClassifier
,FMRegressionModel
,FMRegressor
,GaussianMixture
,GaussianMixtureModel
,GeneralizedLinearRegression
,GeneralizedLinearRegressionModel
,KMeans
,KMeansModel
,LinearRegression
,LinearRegressionModel
,LinearSVC
,LinearSVCModel
,LogisticRegression
,LogisticRegressionModel
,MultilayerPerceptronClassificationModel
,MultilayerPerceptronClassifier
Trait for shared param tol. This trait may be changed or
removed between minor versions.
-
Method Summary
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
-
getTol
double getTol() -
tol
DoubleParam tol()Param for the convergence tolerance for iterative algorithms (>= 0).- Returns:
- (undocumented)
-