## 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.mapreduce
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.
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.mapreduce
PredictionCallback Called each time an instance has been classified

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

Classes in org.apache.mahout.df.callback used by org.apache.mahout.df.mapreduce.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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