## Uses of Class
org.apache.mahout.df.mapreduce.MapredMapper

Packages that use MapredMapper
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.

Uses of MapredMapper in org.apache.mahout.df.mapreduce.inmem

Subclasses of MapredMapper in org.apache.mahout.df.mapreduce.inmem
`class` `InMemMapper` In-memory mapper that grows the trees using a full copy of the data loaded in-memory.

Uses of MapredMapper in org.apache.mahout.df.mapreduce.partial

Subclasses of MapredMapper in org.apache.mahout.df.mapreduce.partial
`class` `Step1Mapper` First step of the Partial Data Builder.

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