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

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

Subclasses of Builder in org.apache.mahout.df.mapreduce.inmem
`class` `InMemBuilder` MapReduce implementation where each mapper loads a full copy of the data in-memory.

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

Subclasses of Builder in org.apache.mahout.df.mapreduce.partial
`class` `PartialBuilder` Builds a random forest using partial data.

Copyright © 2008-2010 The Apache Software Foundation. All Rights Reserved.