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

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

Classes in org.apache.mahout.df.mapreduce.inmem used by org.apache.mahout.df.mapreduce.inmem
InMemInputFormat.InMemInputSplit Custom InputSplit that indicates how many trees are built by each mapper

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