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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