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

public interface HasMaxIter extends Params

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

• Method Summary

  int

  maxIter()

  Param for maximum number of iterations (>= 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

  • getMaxIter

    int getMaxIter()

  • maxIter

    Param for maximum number of iterations (>= 0).

    Returns:

    (undocumented)