package impurity
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Type Members
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trait
Impurity extends Serializable
Trait for calculating information gain.
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.
- Annotations
- @Since( "1.0.0" )
Value Members
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object
Entropy extends Impurity
Class for calculating entropy during multiclass classification.
Class for calculating entropy during multiclass classification.
- Annotations
- @Since( "1.0.0" )
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object
Gini extends Impurity
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.
- Annotations
- @Since( "1.0.0" )
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object
Variance extends Impurity
Class for calculating variance during regression
Class for calculating variance during regression
- Annotations
- @Since( "1.0.0" )