org.apache.spark.ml.classification

Interface ProbabilisticClassifierParams

All Superinterfaces:

ClassifierParams, HasFeaturesCol, HasLabelCol, HasPredictionCol, HasProbabilityCol, HasRawPredictionCol, HasThresholds, Identifiable, Params, PredictorParams, java.io.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.

Method Summary

Modifier and Type	Method and Description
StructType	validateAndTransformSchema(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.HasLabelCol

getLabelCol, labelCol

Methods inherited from interface org.apache.spark.ml.param.shared.HasFeaturesCol

featuresCol, getFeaturesCol

Methods inherited from interface org.apache.spark.ml.param.shared.HasPredictionCol

getPredictionCol, predictionCol

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

Methods inherited from interface org.apache.spark.ml.param.shared.HasRawPredictionCol

getRawPredictionCol, rawPredictionCol

Methods inherited from interface org.apache.spark.ml.param.shared.HasProbabilityCol

getProbabilityCol, probabilityCol

Methods inherited from interface org.apache.spark.ml.param.shared.HasThresholds

getThresholds, thresholds

Method Detail

validateAndTransformSchema

StructType validateAndTransformSchema(StructType schema,
                                      boolean fitting,
                                      DataType featuresDataType)

Description copied from interface: PredictorParams

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

Specified by:

validateAndTransformSchema in interface ClassifierParams

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