## Uses of Class
org.apache.mahout.df.mapreduce.partial.TreeID

Packages that use TreeID
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 TreeID in org.apache.mahout.df.mapreduce.partial

Methods in org.apache.mahout.df.mapreduce.partial that return TreeID
`TreeID` `TreeID.clone()`

Methods in org.apache.mahout.df.mapreduce.partial with parameters of type TreeID
`void` `Step2Mapper.configure(int partition, Dataset dataset, TreeID[] keys, Node[] trees, int numInstances)` Useful for testing.
`static int` `InterResults.load(org.apache.hadoop.fs.FileSystem fs, org.apache.hadoop.fs.Path forestPath, int numMaps, int numTrees, int partition, TreeID[] keys, Node[] trees)` Load the trees and the keys returned from the first step
`protected static void` `PartialBuilder.processOutput(org.apache.hadoop.mapreduce.JobContext job, org.apache.hadoop.fs.Path outputPath, int[] firstIds, TreeID[] keys, Node[] trees, PredictionCallback callback)` Processes the output from the output path.
`void` `Step2Job.run(org.apache.hadoop.conf.Configuration conf, TreeID[] keys, Node[] trees, PredictionCallback callback)` Run the second step.
`static void` `InterResults.store(org.apache.hadoop.fs.FileSystem fs, org.apache.hadoop.fs.Path forestPath, TreeID[] keys, Node[] trees, int[] sizes)` Write the forest trees into a file

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