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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