GitHub - powerllamas/associative_rules: Induction of associative rules with Apriori and DIC algorithms.

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Induction of associative rules with Apriori and DIC algorithms.

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Name		Name	Last commit message	Last commit date
Latest commit History 84 Commits
data		data
raport		raport
.gitignore		.gitignore
README		README
apriori.py		apriori.py
ar.py		ar.py
args.py		args.py
collect_data.py		collect_data.py
dic.py		dic.py
rules.py		rules.py
stats.py		stats.py
tests.py		tests.py
transactions.py		transactions.py
trie.py		trie.py
writer.py		writer.py

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==============================
Associative rules induction
==============================

usage: ar.py [-h] [-a, --algorithm ALGORITHM] [-c, --confidence MINCONF]
             [-s, --support MINSUP] [-m M]
             infile [outfile]

Induction of associative rules from datasets.

positional arguments:
  infile                input file
  outfile               output file

optional arguments:
  -h, --help            show this help message and exit
  -a, --algorithm ALGORITHM
                        name of preferred algorithm - apriori or dic
  -c, --confidence MINCONF
                        minimum confidence (0..1)
  -s, --support MINSUP  minimum support (0..1)
  -m M                  DIC's granularity

For current version check
'https://github.com/PowerLlamas/associative_rules'.