Interface ProbabilisticClassifierParams
- All Superinterfaces:
- ClassifierParams,- HasFeaturesCol,- HasLabelCol,- HasPredictionCol,- HasProbabilityCol,- HasRawPredictionCol,- HasThresholds,- Identifiable,- Params,- PredictorParams,- Serializable
- All Known Subinterfaces:
- DecisionTreeClassifierParams,- FMClassifierParams,- GBTClassifierParams,- LogisticRegressionParams,- MultilayerPerceptronParams,- RandomForestClassifierParams,- TreeEnsembleClassifierParams
- All Known Implementing Classes:
- DecisionTreeClassificationModel,- DecisionTreeClassifier,- FMClassificationModel,- FMClassifier,- GBTClassificationModel,- GBTClassifier,- LogisticRegression,- LogisticRegressionModel,- MultilayerPerceptronClassificationModel,- MultilayerPerceptronClassifier,- NaiveBayes,- NaiveBayesModel,- ProbabilisticClassificationModel,- ProbabilisticClassifier,- RandomForestClassificationModel,- RandomForestClassifier
public interface ProbabilisticClassifierParams
extends ClassifierParams, HasProbabilityCol, HasThresholds
(private[classification])  Params for probabilistic classification.
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Method SummaryModifier and TypeMethodDescriptionvalidateAndTransformSchema(StructType schema, boolean fitting, DataType featuresDataType) Validates and transforms the input schema with the provided param map.Methods inherited from interface org.apache.spark.ml.param.shared.HasFeaturesColfeaturesCol, getFeaturesColMethods inherited from interface org.apache.spark.ml.param.shared.HasLabelColgetLabelCol, labelColMethods inherited from interface org.apache.spark.ml.param.shared.HasPredictionColgetPredictionCol, predictionColMethods inherited from interface org.apache.spark.ml.param.shared.HasProbabilityColgetProbabilityCol, probabilityColMethods inherited from interface org.apache.spark.ml.param.shared.HasRawPredictionColgetRawPredictionCol, rawPredictionColMethods inherited from interface org.apache.spark.ml.param.shared.HasThresholdsgetThresholds, thresholdsMethods 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- 
validateAndTransformSchemaStructType validateAndTransformSchema(StructType schema, boolean fitting, DataType featuresDataType) Description copied from interface:PredictorParamsValidates and transforms the input schema with the provided param map.- Specified by:
- validateAndTransformSchemain interface- ClassifierParams
- Specified by:
- validateAndTransformSchemain interface- PredictorParams
- Parameters:
- schema- input schema
- fitting- whether this is in fitting
- featuresDataType- SQL DataType for FeaturesType. E.g.,- VectorUDTfor vector features.
- Returns:
- output schema
 
 
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