Package org.apache.spark.ml.param.shared

Interface HasFeaturesCol

All Superinterfaces:
Identifiable, Params, Serializable
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, org.apache.spark.ml.feature.Selector, org.apache.spark.ml.feature.SelectorModel, 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()