Interface HasFeaturesCol

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 Details

    • featuresCol

      Param<String> featuresCol()
      Param for features column name.
      Returns:
      (undocumented)
    • getFeaturesCol

      String getFeaturesCol()