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

Packages that use org.apache.mahout.df.mapreduce
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.

Classes in org.apache.mahout.df.mapreduce used by org.apache.mahout.df.mapreduce
MapredOutput Used by various implementation to return the results of a build. Contains a grown tree and and its oob predictions.

Classes in org.apache.mahout.df.mapreduce used by org.apache.mahout.df.mapreduce.inmem
Builder Base class for Mapred DecisionForest builders.
MapredMapper Base class for Mapred mappers.

Classes in org.apache.mahout.df.mapreduce used by org.apache.mahout.df.mapreduce.partial
Builder Base class for Mapred DecisionForest builders.
MapredMapper Base class for Mapred mappers.

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