Uses of Package
org.apache.mahout.df

Packages that use org.apache.mahout.df
org.apache.mahout.df.mapred   
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. 
org.apache.mahout.df.ref   
 

Classes in org.apache.mahout.df used by org.apache.mahout.df.mapred
DecisionForest
          Represents a forest of decision trees.
 

Classes in org.apache.mahout.df used by org.apache.mahout.df.mapred.inmem
DecisionForest
          Represents a forest of decision trees.
 

Classes in org.apache.mahout.df used by org.apache.mahout.df.mapred.partial
DecisionForest
          Represents a forest of decision trees.
 

Classes in org.apache.mahout.df used by org.apache.mahout.df.ref
DecisionForest
          Represents a forest of decision trees.
 



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