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Title: apriori Download
  • Category:
  • AI-NN-PR
  • Tags:
  • [MacOS]
  • File Size:
  • 1.26mb
  • Update:
  • 2018-04-10
  • Downloads:
  • 0 Times
  • Uploaded by:
  • wingnut
 Description: # Python 3 Implementation of Apriori algorithm This program is based on [Aaron Zira's implementation of Apriori algorithm](https://github.com/aaronzira/apriori) and is adapted for use in other python 3 programs ## Dependencies This program uses [_demjson.py_](https://github.com/dmeranda/demjson/blob/master/demjson.py) to write matrix into file * Install with ```bash pip3 install demjson ``` ## Usage * Initialize and learn frequency using data from file ```python 3 # data: path of data source file # out: path of output file AP = apriori.APriori(data='./test_datasets/transactions.dat', out='./test_datasets/result.txt') # This function will write Data into output file AP.find_frequent(support=50, min_set_size=2, max_set_size=3)
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FilenameSizeDate
apriori 0 2018-04-07
apriori\.DS_Store 10244 2018-04-07
__MACOSX 0 2018-04-07
__MACOSX\apriori 0 2018-04-07
__MACOSX\apriori\._.DS_Store 120 2018-04-07
apriori\apriori.py 5457 2018-04-07
__MACOSX\apriori\._apriori.py 176 2018-04-07
apriori\test_datasets 0 2018-04-07
apriori\test_datasets\.DS_Store 6148 2018-04-07
__MACOSX\apriori\test_datasets 0 2018-04-07
__MACOSX\apriori\test_datasets\._.DS_Store 120 2018-04-07
apriori\test_datasets\result.txt 36444 2018-04-07
apriori\test_datasets\transactions.dat 1154828 2017-02-13
__MACOSX\apriori\test_datasets\._transactions.dat 268 2017-02-13
apriori\test_datasets\ap_result.txt 838 2018-04-07
apriori\test_datasets\frequent.txt 5529336 2017-02-13
__MACOSX\apriori\test_datasets\._frequent.txt 268 2017-02-13
apriori\test_datasets\frequent_itemsets.txt 125928 2018-04-07
__MACOSX\apriori\test_datasets\._frequent_itemsets.txt 268 2018-04-07
apriori\demo.py 750 2018-04-07

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