## 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)`

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