|
||||||||||
PREV NEXT | FRAMES NO FRAMES |
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)
|
|
||||||||||
PREV NEXT | FRAMES NO FRAMES |