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Items missing in the output
See original GitHub issue`import pyfpgrowth
item_list = [[11, 13], [4, 12, 13], [4, 13, 14, 17], [7, 11, 13, 14, 17], [2, 4, 13, 14], [13, 14], [2, 7, 11, 13, 14], [4, 13, 14, 15], [6, 11, 13], [11, 13], [11, 13, 14, 17], [7, 11, 13, 14], [2, 11, 12, 13, 14], [7, 11, 13], [11, 13], [7, 8, 13, 14, 17], [0, 7, 11, 13], [2, 11, 13, 14, 15], [7, 11, 12, 13, 14], [11, 12, 13, 14]]
patterns = pyfpgrowth.find_frequent_patterns(item_list, 1)`
My code and dataset is defined as above. The problem is when I try patterns = pyfpgrowth.find_frequent_patterns(item_list[:15], 1), I can find the key (7,) in patterns, but when I use the whole item_list, key(7,) is missing. Is this a bug or I get something wrong with the algorithm?
Thanks.
Issue Analytics
- State:
- Created 6 years ago
- Reactions:2
- Comments:7 (1 by maintainers)
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Hey guys, I had fixed one of the problem in my own repo, now it can show the “7” itemset which @yanxiang007 mentioned , but it still exists some other bugs.
I am using orange3-associate as an alternate. Hope this information can help you.
I met the same issue now. @ZaxR , @yanxiang007 Did you find any project can do this job?? Otherwise I want to fixed this bug.