All Superinterfaces:

Identifiable, Params, Serializable

All Known Subinterfaces:

AFTSurvivalRegressionParams, BisectingKMeansParams, ClassifierParams, DecisionTreeClassifierParams, DecisionTreeParams, DecisionTreeRegressorParams, FactorizationMachines, FactorizationMachinesParams, FMClassifierParams, FMRegressorParams, GaussianMixtureParams, GBTClassifierParams, GBTParams, GBTRegressorParams, GeneralizedLinearRegressionBase, IsotonicRegressionBase, KMeansParams, LDAParams, LinearRegressionParams, LinearSVCParams, LogisticRegressionParams, MultilayerPerceptronParams, NaiveBayesParams, OneVsRestParams, PredictorParams, ProbabilisticClassifierParams, RandomForestClassifierParams, RandomForestParams, RandomForestRegressorParams, RFormulaBase, SelectorParams, TreeEnsembleClassifierParams, TreeEnsembleParams, TreeEnsembleRegressorParams, UnivariateFeatureSelectorParams, VarianceThresholdSelectorParams

All Known Implementing Classes:

AFTSurvivalRegression, AFTSurvivalRegressionModel, BisectingKMeans, BisectingKMeansModel, ChiSqSelector, ChiSqSelectorModel, ClassificationModel, Classifier, ClusteringEvaluator, DecisionTreeClassificationModel, DecisionTreeClassifier, DecisionTreeRegressionModel, DecisionTreeRegressor, DistributedLDAModel, FMClassificationModel, FMClassifier, FMRegressionModel, FMRegressor, GaussianMixture, GaussianMixtureModel, GBTClassificationModel, GBTClassifier, GBTRegressionModel, GBTRegressor, GeneralizedLinearRegression, GeneralizedLinearRegressionModel, IsotonicRegression, IsotonicRegressionModel, KMeans, KMeansModel, LDA, LDAModel, LinearRegression, LinearRegressionModel, LinearSVC, LinearSVCModel, LocalLDAModel, LogisticRegression, LogisticRegressionModel, MultilayerPerceptronClassificationModel, MultilayerPerceptronClassifier, NaiveBayes, NaiveBayesModel, OneVsRest, OneVsRestModel, PredictionModel, Predictor, ProbabilisticClassificationModel, ProbabilisticClassifier, RandomForestClassificationModel, RandomForestClassifier, RandomForestRegressionModel, RandomForestRegressor, RegressionModel, Regressor, RFormula, RFormulaModel, UnivariateFeatureSelector, UnivariateFeatureSelectorModel, VarianceThresholdSelector, VarianceThresholdSelectorModel

public interface HasFeaturesCol extends Params

Trait for shared param featuresCol (default: "features"). This trait may be changed or removed between minor versions.

• Method Summary

  Param for features column name.

  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

  • featuresCol

    Param for features column name.

    Returns:

    (undocumented)

  • getFeaturesCol