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Packages that use MapredOutput | |
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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 |
Uses of MapredOutput in org.apache.mahout.df.mapred.inmem |
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Method parameters in org.apache.mahout.df.mapred.inmem with type arguments of type MapredOutput | |
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void |
InMemMapper.map(org.apache.hadoop.io.IntWritable key,
org.apache.hadoop.io.NullWritable value,
org.apache.hadoop.mapred.OutputCollector<org.apache.hadoop.io.IntWritable,MapredOutput> output,
org.apache.hadoop.mapred.Reporter reporter)
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void |
InMemMapper.map(org.apache.hadoop.io.IntWritable key,
org.apache.hadoop.mapred.OutputCollector<org.apache.hadoop.io.IntWritable,MapredOutput> output,
InMemInputFormat.InMemInputSplit split)
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Uses of MapredOutput in org.apache.mahout.df.mapred.partial |
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Method parameters in org.apache.mahout.df.mapred.partial with type arguments of type MapredOutput | |
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void |
Step2Mapper.map(org.apache.hadoop.io.LongWritable key,
org.apache.hadoop.io.Text value,
org.apache.hadoop.mapred.OutputCollector<TreeID,MapredOutput> output,
org.apache.hadoop.mapred.Reporter reporter)
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void |
Step1Mapper.map(org.apache.hadoop.io.LongWritable key,
org.apache.hadoop.io.Text value,
org.apache.hadoop.mapred.OutputCollector<TreeID,MapredOutput> output,
org.apache.hadoop.mapred.Reporter reporter)
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Uses of MapredOutput in org.apache.mahout.df.mapreduce |
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Methods in org.apache.mahout.df.mapreduce that return MapredOutput | |
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MapredOutput |
MapredOutput.clone()
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static MapredOutput |
MapredOutput.read(java.io.DataInput in)
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