All Superinterfaces:

Identifiable, Params, Serializable

All Known Subinterfaces:

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

All Known Implementing Classes:

AFTSurvivalRegression, AFTSurvivalRegressionModel, ALS, ALSModel, BisectingKMeans, BisectingKMeansModel, ClassificationModel, Classifier, ClusteringEvaluator, DecisionTreeClassificationModel, DecisionTreeClassifier, DecisionTreeRegressionModel, DecisionTreeRegressor, FMClassificationModel, FMClassifier, FMRegressionModel, FMRegressor, FPGrowth, FPGrowthModel, GaussianMixture, GaussianMixtureModel, GBTClassificationModel, GBTClassifier, GBTRegressionModel, GBTRegressor, GeneralizedLinearRegression, GeneralizedLinearRegressionModel, IsotonicRegression, IsotonicRegressionModel, KMeans, KMeansModel, LinearRegression, LinearRegressionModel, LinearSVC, LinearSVCModel, LogisticRegression, LogisticRegressionModel, MulticlassClassificationEvaluator, MultilabelClassificationEvaluator, MultilayerPerceptronClassificationModel, MultilayerPerceptronClassifier, NaiveBayes, NaiveBayesModel, OneVsRest, OneVsRestModel, PredictionModel, Predictor, ProbabilisticClassificationModel, ProbabilisticClassifier, RandomForestClassificationModel, RandomForestClassifier, RandomForestRegressionModel, RandomForestRegressor, RankingEvaluator, RegressionEvaluator, RegressionModel, Regressor

public interface HasPredictionCol extends Params

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

• Method Summary

  Param for prediction 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

  • getPredictionCol

    String getPredictionCol()

  • predictionCol

    Param for prediction column name.

    Returns:

    (undocumented)