Uses of Package
org.apache.mahout.df.callback

Packages that use org.apache.mahout.df.callback
org.apache.mahout.df   
org.apache.mahout.df.callback   
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.callback used by org.apache.mahout.df
PredictionCallback
          Called each time an instance has been classified
 

Classes in org.apache.mahout.df.callback used by org.apache.mahout.df.callback
PredictionCallback
          Called each time an instance has been classified
 

Classes in org.apache.mahout.df.callback used by org.apache.mahout.df.mapred
PredictionCallback
          Called each time an instance has been classified
 

Classes in org.apache.mahout.df.callback used by org.apache.mahout.df.mapred.inmem
PredictionCallback
          Called each time an instance has been classified
 

Classes in org.apache.mahout.df.callback used by org.apache.mahout.df.mapred.partial
PredictionCallback
          Called each time an instance has been classified
 

Classes in org.apache.mahout.df.callback used by org.apache.mahout.df.ref
PredictionCallback
          Called each time an instance has been classified
 



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