Trait for calculating information gain.
Class for calculating entropy during multiclass classification.
Class for calculating entropy during multiclass classification.
Class for calculating the Gini impurity (http://en.wikipedia.org/wiki/Decision_tree_learning#Gini_impurity) during multiclass classification.
Class for calculating the Gini impurity (http://en.wikipedia.org/wiki/Decision_tree_learning#Gini_impurity) during multiclass classification.
Class for calculating variance during regression
Class for calculating variance during regression
Trait for calculating information gain. This trait is used for (a) setting the impurity parameter in org.apache.spark.mllib.tree.configuration.Strategy (b) calculating impurity values from sufficient statistics.