Package org.apache.spark.ml.param.shared
Interface HasFitIntercept
- All Superinterfaces:
- Identifiable,- Params,- Serializable
- All Known Subinterfaces:
- AFTSurvivalRegressionParams,- FactorizationMachines,- FactorizationMachinesParams,- FMClassifierParams,- FMRegressorParams,- GeneralizedLinearRegressionBase,- LinearRegressionParams,- LinearSVCParams,- LogisticRegressionParams
- All Known Implementing Classes:
- AFTSurvivalRegression,- AFTSurvivalRegressionModel,- FMClassificationModel,- FMClassifier,- FMRegressionModel,- FMRegressor,- GeneralizedLinearRegression,- GeneralizedLinearRegressionModel,- LinearRegression,- LinearRegressionModel,- LinearSVC,- LinearSVCModel,- LogisticRegression,- LogisticRegressionModel
Trait for shared param fitIntercept (default: true). This trait may be changed or
 removed between minor versions.
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Method SummaryModifier and TypeMethodDescriptionParam for whether to fit an intercept term.booleanMethods 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- 
fitInterceptBooleanParam fitIntercept()Param for whether to fit an intercept term.- Returns:
- (undocumented)
 
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getFitInterceptboolean getFitIntercept()
 
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