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

  Param for Column name for predicted class conditional probabilities.

  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

  • getProbabilityCol

    String getProbabilityCol()

  • 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)