Package org.apache.spark.ml.param.shared
Interface HasMaxIter
- All Superinterfaces:
Identifiable
,Params
,Serializable
- All Known Subinterfaces:
AFTSurvivalRegressionParams
,ALSParams
,BisectingKMeansParams
,FactorizationMachines
,FactorizationMachinesParams
,FMClassifierParams
,FMRegressorParams
,GaussianMixtureParams
,GBTClassifierParams
,GBTParams
,GBTRegressorParams
,GeneralizedLinearRegressionBase
,KMeansParams
,LDAParams
,LinearRegressionParams
,LinearSVCParams
,LogisticRegressionParams
,MultilayerPerceptronParams
,PowerIterationClusteringParams
,Word2VecBase
- All Known Implementing Classes:
AFTSurvivalRegression
,AFTSurvivalRegressionModel
,ALS
,BisectingKMeans
,BisectingKMeansModel
,DistributedLDAModel
,FMClassificationModel
,FMClassifier
,FMRegressionModel
,FMRegressor
,GaussianMixture
,GaussianMixtureModel
,GBTClassificationModel
,GBTClassifier
,GBTRegressionModel
,GBTRegressor
,GeneralizedLinearRegression
,GeneralizedLinearRegressionModel
,KMeans
,KMeansModel
,LDA
,LDAModel
,LinearRegression
,LinearRegressionModel
,LinearSVC
,LinearSVCModel
,LocalLDAModel
,LogisticRegression
,LogisticRegressionModel
,MultilayerPerceptronClassificationModel
,MultilayerPerceptronClassifier
,PowerIterationClustering
,Word2Vec
,Word2VecModel
Trait for shared param maxIter. This trait may be changed or
removed between minor versions.
-
Method Summary
Modifier and TypeMethodDescriptionint
maxIter()
Param for maximum number of iterations (>= 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
-
getMaxIter
int getMaxIter() -
maxIter
IntParam maxIter()Param for maximum number of iterations (>= 0).- Returns:
- (undocumented)
-