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

Interface HasPredictionCol

All Superinterfaces:

Identifiable, Params, Serializable, scala.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

Modifier and Type	Method	Description
String	getPredictionCol()
Param<String>	predictionCol()	Param for prediction column name.

Methods inherited from interface org.apache.spark.ml.util.Identifiable

toString, uid

Methods inherited from interface org.apache.spark.ml.param.Params

clear, copy, copyValues, defaultCopy, defaultParamMap, 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<String> predictionCol()

Param for prediction column name.

Returns:

(undocumented)