Package org.apache.spark.ml.param.shared
Interface HasWeightCol
- All Superinterfaces:
- Identifiable,- Params,- 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
Trait for shared param weightCol. This trait may be changed or
 removed between minor versions.
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Method SummaryModifier and TypeMethodDescriptionParam for weight column name.Methods inherited from interface org.apache.spark.ml.util.IdentifiabletoString, uidMethods inherited from interface org.apache.spark.ml.param.Paramsclear, 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
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Method Details- 
getWeightColString getWeightCol()
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weightColParam for weight column name. If this is not set or empty, we treat all instance weights as 1.0.- Returns:
- (undocumented)
 
 
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