Uses of Class
org.apache.mahout.df.mapreduce.inmem.InMemInputFormat.InMemInputSplit

Packages that use InMemInputFormat.InMemInputSplit
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
 

Uses of InMemInputFormat.InMemInputSplit in org.apache.mahout.df.mapreduce.inmem
 

Methods in org.apache.mahout.df.mapreduce.inmem that return InMemInputFormat.InMemInputSplit
static InMemInputFormat.InMemInputSplit InMemInputFormat.InMemInputSplit.read(java.io.DataInput in)
           
 

Methods in org.apache.mahout.df.mapreduce.inmem with parameters of type InMemInputFormat.InMemInputSplit
protected  void InMemMapper.initRandom(InMemInputFormat.InMemInputSplit split)
           
 

Constructors in org.apache.mahout.df.mapreduce.inmem with parameters of type InMemInputFormat.InMemInputSplit
InMemInputFormat.InMemRecordReader(InMemInputFormat.InMemInputSplit split)
           
 



Copyright © 2008-2010 The Apache Software Foundation. All Rights Reserved.