Package org.apache.spark.ml.tree
Interface HasVarianceImpurity
- All Superinterfaces:
Identifiable
,Params
,Serializable
- All Known Subinterfaces:
DecisionTreeRegressorParams
,GBTClassifierParams
,GBTRegressorParams
,RandomForestRegressorParams
,TreeRegressorParams
- All Known Implementing Classes:
DecisionTreeRegressionModel
,DecisionTreeRegressor
,GBTClassificationModel
,GBTClassifier
,GBTRegressionModel
,GBTRegressor
,RandomForestRegressionModel
,RandomForestRegressor
-
Method Summary
Modifier and TypeMethodDescriptionConvert new impurity to old impurity.impurity()
Criterion used for information gain calculation (case-insensitive).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
-
impurity
Criterion used for information gain calculation (case-insensitive). This impurity type is used in DecisionTreeRegressor, RandomForestRegressor, GBTRegressor and GBTClassifier (since GBTClassificationModel is internally composed of DecisionTreeRegressionModels). Supported: "variance". (default = variance)- Returns:
- (undocumented)
-
getImpurity
String getImpurity() -
getOldImpurity
Impurity getOldImpurity()Convert new impurity to old impurity.
-