Package org.apache.spark.ml.tree
Interface TreeClassifierParams
- All Superinterfaces:
Identifiable
,Params
,Serializable
,scala.Serializable
- All Known Subinterfaces:
DecisionTreeClassifierParams
,RandomForestClassifierParams
- All Known Implementing Classes:
DecisionTreeClassificationModel
,DecisionTreeClassifier
,RandomForestClassificationModel
,RandomForestClassifier
Parameters for Decision Tree-based classification algorithms.
-
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 DecisionTreeClassifier and RandomForestClassifier, Supported: "entropy" and "gini". (default = gini)- Returns:
- (undocumented)
-
getImpurity
String getImpurity() -
getOldImpurity
Impurity getOldImpurity()Convert new impurity to old impurity.
-