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Packages that use Parameters | |
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org.apache.mahout.classifier.bayes.common | |
org.apache.mahout.classifier.bayes.datastore | |
org.apache.mahout.classifier.bayes.io | |
org.apache.mahout.classifier.bayes.mapreduce.bayes | |
org.apache.mahout.common | |
org.apache.mahout.fpm.pfpgrowth |
Map/Reduce(Parallel) implementation of FP Growth Algorithm for frequent Itemset Mining
We have a Top K Parallel FPGrowth Implementation. |
Uses of Parameters in org.apache.mahout.classifier.bayes.common |
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Subclasses of Parameters in org.apache.mahout.classifier.bayes.common | |
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class |
BayesParameters
BayesParameter used for passing parameters to the Map/Reduce Jobs parameters include gramSize, |
Uses of Parameters in org.apache.mahout.classifier.bayes.datastore |
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Methods in org.apache.mahout.classifier.bayes.datastore that return Parameters | |
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protected Parameters |
HBaseBayesDatastore.getParameters()
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Constructors in org.apache.mahout.classifier.bayes.datastore with parameters of type Parameters | |
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HBaseBayesDatastore(java.lang.String hbaseTable,
Parameters params)
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InMemoryBayesDatastore(Parameters params)
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Uses of Parameters in org.apache.mahout.classifier.bayes.io |
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Methods in org.apache.mahout.classifier.bayes.io with parameters of type Parameters | |
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static void |
SequenceFileModelReader.loadModel(InMemoryBayesDatastore datastore,
org.apache.hadoop.fs.FileSystem fs,
Parameters params,
org.apache.hadoop.conf.Configuration conf)
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Uses of Parameters in org.apache.mahout.classifier.bayes.mapreduce.bayes |
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Methods in org.apache.mahout.classifier.bayes.mapreduce.bayes with parameters of type Parameters | |
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static ConfusionMatrix |
BayesClassifierDriver.readResult(org.apache.hadoop.fs.FileSystem fs,
org.apache.hadoop.fs.Path pathPattern,
org.apache.hadoop.conf.Configuration conf,
Parameters params)
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static void |
BayesClassifierDriver.runJob(Parameters params)
Run the job |
Uses of Parameters in org.apache.mahout.common |
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Methods in org.apache.mahout.common that return Parameters | |
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static Parameters |
Parameters.fromString(java.lang.String serializedString)
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Uses of Parameters in org.apache.mahout.fpm.pfpgrowth |
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Methods in org.apache.mahout.fpm.pfpgrowth with parameters of type Parameters | |
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static java.util.List<Pair<java.lang.String,java.lang.Long>> |
PFPGrowth.deserializeList(Parameters params,
java.lang.String key,
org.apache.hadoop.conf.Configuration conf)
Generates the fList from the serialized string representation |
static java.util.Map<java.lang.String,java.lang.Long> |
PFPGrowth.deserializeMap(Parameters params,
java.lang.String key,
org.apache.hadoop.conf.Configuration conf)
Generates the gList(Group ID Mapping of Various frequent Features) Map from the corresponding serialized representation |
static java.util.List<Pair<java.lang.String,java.lang.Long>> |
PFPGrowth.readFList(Parameters params)
read the feature frequency List which is built at the end of the Parallel counting job |
static java.util.List<Pair<java.lang.String,TopKStringPatterns>> |
PFPGrowth.readFrequentPattern(Parameters params)
Read the Frequent Patterns generated from Text |
static void |
PFPGrowth.runPFPGrowth(Parameters params)
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static void |
PFPGrowth.startAggregating(Parameters params)
Run the aggregation Job to aggregate the different TopK patterns and group each Pattern by the features present in it and thus calculate the final Top K frequent Patterns for each feature |
static void |
PFPGrowth.startGroupingItems(Parameters params)
Group the given Features into g groups as defined by the numGroups parameter in params |
static void |
PFPGrowth.startParallelCounting(Parameters params)
Count the frequencies of various features in parallel using Map/Reduce |
static void |
PFPGrowth.startParallelFPGrowth(Parameters params)
Run the Parallel FPGrowth Map/Reduce Job to calculate the Top K features of group dependent shards |
static void |
PFPGrowth.startTransactionSorting(Parameters params)
Run the Parallel FPGrowth Map/Reduce Job to calculate the Top K features of group dependent shards |
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