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 
 

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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