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Packages that use Parameters | |
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org.apache.mahout.fpm.pfpgrowth | MapReduce (parallel) implementation of FP Growth Algorithm for frequent Itemset Mining |
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 List<Pair<String,Long>> |
PFPGrowth.readFList(Parameters params)
read the feature frequency List which is built at the end of the Parallel counting job |
static List<Pair<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.runPFPGrowth(Parameters params,
org.apache.hadoop.conf.Configuration conf)
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static void |
PFPGrowth.saveFList(Iterable<Pair<String,Long>> flist,
Parameters params,
org.apache.hadoop.conf.Configuration conf)
Serializes the fList and returns the string representation of the List |
static void |
PFPGrowth.startAggregating(Parameters params,
org.apache.hadoop.conf.Configuration conf)
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.startParallelCounting(Parameters params,
org.apache.hadoop.conf.Configuration conf)
Count the frequencies of various features in parallel using Map/Reduce |
static void |
PFPGrowth.startParallelFPGrowth(Parameters params,
org.apache.hadoop.conf.Configuration conf)
Run the Parallel FPGrowth Map/Reduce Job to calculate the Top K features of group dependent shards |
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