Package org.apache.spark.ml.param.shared

Interface HasProbabilityCol

All Superinterfaces:

Identifiable, Params, Serializable

All Known Subinterfaces:

DecisionTreeClassifierParams, FMClassifierParams, GaussianMixtureParams, GBTClassifierParams, LogisticRegressionParams, MultilayerPerceptronParams, ProbabilisticClassifierParams, RandomForestClassifierParams, TreeEnsembleClassifierParams

All Known Implementing Classes:

DecisionTreeClassificationModel, DecisionTreeClassifier, FMClassificationModel, FMClassifier, GaussianMixture, GaussianMixtureModel, GBTClassificationModel, GBTClassifier, LogisticRegression, LogisticRegressionModel, MulticlassClassificationEvaluator, MultilayerPerceptronClassificationModel, MultilayerPerceptronClassifier, NaiveBayes, NaiveBayesModel, ProbabilisticClassificationModel, ProbabilisticClassifier, RandomForestClassificationModel, RandomForestClassifier

public interface HasProbabilityCol
extends Params

Trait for shared param probabilityCol (default: "probability"). This trait may be changed or removed between minor versions.

Method Summary

Modifier and Type	Method	Description
String	getProbabilityCol()
Param<String>	probabilityCol()	Param for Column name for predicted class conditional probabilities.

Methods inherited from interface org.apache.spark.ml.util.Identifiable

toString, uid

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

Method Details

getProbabilityCol

String getProbabilityCol()

probabilityCol

Param<String> probabilityCol()

Param for Column name for predicted class conditional probabilities. Note: Not all models output well-calibrated probability estimates! These probabilities should be treated as confidences, not precise probabilities.

Returns:

(undocumented)