## Uses of Class
org.apache.mahout.df.mapreduce.partial.Step0Job.Step0Output

Packages that use Step0Job.Step0Output
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 Step0Job.Step0Output in org.apache.mahout.df.mapreduce.partial

Methods in org.apache.mahout.df.mapreduce.partial that return Step0Job.Step0Output
`protected Step0Job.Step0Output` `Step0Job.Step0Output.clone()`
`protected Step0Job.Step0Output[]` `Step0Job.parseOutput(org.apache.hadoop.mapreduce.JobContext job)` Extracts the output and processes it
`protected static Step0Job.Step0Output[]` `Step0Job.processOutput(java.util.List<java.lang.Integer> keys, java.util.List<Step0Job.Step0Output> values)` Replaces the first id for each partition in Hadoop's order
`Step0Job.Step0Output[]` `Step0Job.run(org.apache.hadoop.conf.Configuration conf)` Computes the partitions' info in Hadoop's order

Methods in org.apache.mahout.df.mapreduce.partial with parameters of type Step0Job.Step0Output
`int` `Step0Job.Step0Output.compareTo(Step0Job.Step0Output obj)`
`static int[]` `Step0Job.Step0Output.extractFirstIds(Step0Job.Step0Output[] partitions)`
`static int[]` `Step0Job.Step0Output.extractSizes(Step0Job.Step0Output[] partitions)`

Method parameters in org.apache.mahout.df.mapreduce.partial with type arguments of type Step0Job.Step0Output
`protected static Step0Job.Step0Output[]` `Step0Job.processOutput(java.util.List<java.lang.Integer> keys, java.util.List<Step0Job.Step0Output> values)` Replaces the first id for each partition in Hadoop's order

Constructors in org.apache.mahout.df.mapreduce.partial with parameters of type Step0Job.Step0Output
`Step2Job(org.apache.hadoop.fs.Path base, org.apache.hadoop.fs.Path dataPath, org.apache.hadoop.fs.Path datasetPath, Step0Job.Step0Output[] partitions)`

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