Uses of Class
org.apache.mahout.df.mapred.Builder

Packages that use Builder
org.apache.mahout.df.mapred.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.mapred.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.mapred.inmem
 

Subclasses of Builder in org.apache.mahout.df.mapred.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.mapred.partial
 

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



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