## Uses of Package
org.apache.mahout.df

Packages that use org.apache.mahout.df
org.apache.mahout.df
org.apache.mahout.df.mapreduce
org.apache.mahout.df.mapreduce.inmem: In-memory mapreduce implementation of Random Decision Forests Each mapper is responsible for growing a number of trees with a whole copy of the dataset loaded in memory, it uses the reference implementation's code to build each tree and estimate the oob error. The dataset is distributed to the slave nodes using the DistributedCache.
org.apache.mahout.df.mapreduce.partial: Partial-data mapreduce implementation of Random Decision Forests The builder splits the data, using a FileInputSplit, among the mappers.
org.apache.mahout.df.ref

Classes in org.apache.mahout.df used by org.apache.mahout.df
DecisionForest Represents a forest of decision trees.

Classes in org.apache.mahout.df used by org.apache.mahout.df.mapreduce
DecisionForest Represents a forest of decision trees.

Classes in org.apache.mahout.df used by org.apache.mahout.df.mapreduce.inmem
DecisionForest Represents a forest of decision trees.

Classes in org.apache.mahout.df used by org.apache.mahout.df.mapreduce.partial
DecisionForest Represents a forest of decision trees.

Classes in org.apache.mahout.df used by org.apache.mahout.df.ref
DecisionForest Represents a forest of decision trees.

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