All Superinterfaces:

HasFeaturesCol, HasLabelCol, HasPredictionCol, HasRawPredictionCol, Identifiable, Params, PredictorParams, Serializable

All Known Subinterfaces:

DecisionTreeClassifierParams, FMClassifierParams, GBTClassifierParams, LinearSVCParams, LogisticRegressionParams, MultilayerPerceptronParams, OneVsRestParams, ProbabilisticClassifierParams, RandomForestClassifierParams, TreeEnsembleClassifierParams

All Known Implementing Classes:

ClassificationModel, Classifier, DecisionTreeClassificationModel, DecisionTreeClassifier, FMClassificationModel, FMClassifier, GBTClassificationModel, GBTClassifier, LinearSVC, LinearSVCModel, LogisticRegression, LogisticRegressionModel, MultilayerPerceptronClassificationModel, MultilayerPerceptronClassifier, NaiveBayes, NaiveBayesModel, OneVsRest, OneVsRestModel, ProbabilisticClassificationModel, ProbabilisticClassifier, RandomForestClassificationModel, RandomForestClassifier

(private[spark]) Params for classification.

• Method Summary

  Validates and transforms the input schema with the provided param map.

  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

  • validateAndTransformSchema

    Validates and transforms the input schema with the provided param map.

    Specified by:

    validateAndTransformSchema in interface PredictorParams

    Parameters:

    schema - input schema

    fitting - whether this is in fitting

    featuresDataType - SQL DataType for FeaturesType. E.g., VectorUDT for vector features.

    Returns:

    output schema