org.apache.spark.ml.param.shared

Interface HasWeightCol

All Superinterfaces:

Identifiable, Params, java.io.Serializable

All Known Subinterfaces:

BisectingKMeansParams, DecisionTreeClassifierParams, DecisionTreeParams, DecisionTreeRegressorParams, FactorizationMachines, FactorizationMachinesParams, FMClassifierParams, FMRegressorParams, GaussianMixtureParams, GBTClassifierParams, GBTParams, GBTRegressorParams, GeneralizedLinearRegressionBase, IsotonicRegressionBase, KMeansParams, LinearRegressionParams, LinearSVCParams, LogisticRegressionParams, NaiveBayesParams, OneVsRestParams, PowerIterationClusteringParams, RandomForestClassifierParams, RandomForestParams, RandomForestRegressorParams, TreeEnsembleClassifierParams, TreeEnsembleParams, TreeEnsembleRegressorParams

All Known Implementing Classes:

BinaryClassificationEvaluator, BisectingKMeans, BisectingKMeansModel, ClusteringEvaluator, DecisionTreeClassificationModel, DecisionTreeClassifier, DecisionTreeRegressionModel, DecisionTreeRegressor, FMClassificationModel, FMClassifier, FMRegressionModel, FMRegressor, GaussianMixture, GaussianMixtureModel, GBTClassificationModel, GBTClassifier, GBTRegressionModel, GBTRegressor, GeneralizedLinearRegression, GeneralizedLinearRegressionModel, IsotonicRegression, IsotonicRegressionModel, KMeans, KMeansModel, LinearRegression, LinearRegressionModel, LinearSVC, LinearSVCModel, LogisticRegression, LogisticRegressionModel, MulticlassClassificationEvaluator, NaiveBayes, NaiveBayesModel, OneVsRest, OneVsRestModel, PowerIterationClustering, RandomForestClassificationModel, RandomForestClassifier, RandomForestRegressionModel, RandomForestRegressor, RegressionEvaluator

public interface HasWeightCol
extends Params

Trait for shared param weightCol. This trait may be changed or removed between minor versions.

Method Summary

Modifier and Type	Method and Description
String	getWeightCol()
Param<String>	weightCol() Param for weight column name.

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

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

toString, uid

Method Detail

getWeightCol

String getWeightCol()

weightCol

Param<String> weightCol()

Param for weight column name. If this is not set or empty, we treat all instance weights as 1.0.

Returns:

(undocumented)