Uses of Interface
org.apache.mahout.df.callback.PredictionCallback

Packages that use PredictionCallback
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.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   
 

Uses of PredictionCallback in org.apache.mahout.df
 

Methods in org.apache.mahout.df with parameters of type PredictionCallback
 Node Bagging.build(int treeId, java.util.Random rng, PredictionCallback callback)
          Builds one tree
 void DecisionForest.classify(Data data, PredictionCallback callback)
          Classifies the data and calls callback for each classification
 

Uses of PredictionCallback in org.apache.mahout.df.callback
 

Classes in org.apache.mahout.df.callback that implement PredictionCallback
 class ForestPredictions
          Collects a forest's predictions
 class MeanTreeCollector
          Computes the error rate for each tree, and returns the mean of all the trees
 class MultiCallback
          Combines many callbacks, that will be called when a prediction is done.
 class SingleTreePredictions
          Collects the predictions for a single tree
 

Constructors in org.apache.mahout.df.callback with parameters of type PredictionCallback
MultiCallback(PredictionCallback... callbacks)
           
 

Uses of PredictionCallback in org.apache.mahout.df.mapred
 

Methods in org.apache.mahout.df.mapred with parameters of type PredictionCallback
 DecisionForest Builder.build(int nbTrees, PredictionCallback callback)
           
protected abstract  DecisionForest Builder.parseOutput(org.apache.hadoop.mapred.JobConf job, PredictionCallback callback)
          Parse the output files to extract the trees and pass the predictions to the callback
 

Uses of PredictionCallback in org.apache.mahout.df.mapred.inmem
 

Methods in org.apache.mahout.df.mapred.inmem with parameters of type PredictionCallback
protected  DecisionForest InMemBuilder.parseOutput(org.apache.hadoop.mapred.JobConf conf, PredictionCallback callback)
           
 

Uses of PredictionCallback in org.apache.mahout.df.mapred.partial
 

Methods in org.apache.mahout.df.mapred.partial with parameters of type PredictionCallback
protected  void Step2Job.parseOutput(org.apache.hadoop.mapred.JobConf job, PredictionCallback callback)
          Extracts the output and processes it
protected  DecisionForest PartialBuilder.parseOutput(org.apache.hadoop.mapred.JobConf job, PredictionCallback callback)
           
protected static void PartialBuilder.processOutput(org.apache.hadoop.mapred.JobConf 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.
 

Uses of PredictionCallback in org.apache.mahout.df.mapreduce
 

Methods in org.apache.mahout.df.mapreduce with parameters of type PredictionCallback
 DecisionForest Builder.build(int nbTrees, PredictionCallback callback)
           
protected abstract  DecisionForest Builder.parseOutput(org.apache.hadoop.mapreduce.Job job, PredictionCallback callback)
          Parse the output files to extract the trees and pass the predictions to the callback
 

Uses of PredictionCallback in org.apache.mahout.df.mapreduce.inmem
 

Methods in org.apache.mahout.df.mapreduce.inmem with parameters of type PredictionCallback
protected  DecisionForest InMemBuilder.parseOutput(org.apache.hadoop.mapreduce.Job job, PredictionCallback callback)
           
 

Uses of PredictionCallback in org.apache.mahout.df.mapreduce.partial
 

Methods in org.apache.mahout.df.mapreduce.partial with parameters of type PredictionCallback
protected  void Step2Job.parseOutput(org.apache.hadoop.mapreduce.Job job, PredictionCallback callback)
          Extracts the output and processes it
protected  DecisionForest PartialBuilder.parseOutput(org.apache.hadoop.mapreduce.Job job, PredictionCallback callback)
           
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.
 

Uses of PredictionCallback in org.apache.mahout.df.ref
 

Methods in org.apache.mahout.df.ref with parameters of type PredictionCallback
 DecisionForest SequentialBuilder.build(int nbTrees, PredictionCallback callback)
           
 



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