Comments (11)
Will look into this.
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support = 3
minimum confidence = 0.5
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Excuse me,I met the same problem with yours that some confidence value are more than 1.0. Have you solved it? If you have solved the problem,could you tell me how you solved it?
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I experienced the same, it looks it happens when you have duplicate items in a subset.
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I have the same exact issue @ihsansatriawan. Any info on why this is happening or how to fix this?
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I have the same issue confidence more than 1.0, is anyone solved it?
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I have the same issue confidence more than 1.0, how to fix this .?
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@wanbin2007
I use Mlextend instead,
http://rasbt.github.io/mlxtend/api_subpackages/mlxtend.frequent_patterns/
recommend to you.
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from fp-growth.
I also had this problem; I recommend using chonyy's implementation, mlextend is too slow and memory hungry: https://github.com/chonyy/fpgrowth_py
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Related Issues (17)
- the output of rule arrays can not find in patterns ,and so many of them turn to 1
- Rules Being Overwritten HOT 1
- missing itemsets & need to add Lift
- Avoid recursion when inserting
- Different rules on regenerating HOT 4
- the whole algorithm is totally a mistake! HOT 3
- Extracting antecedent and consequent
- can not output when applying to latitude
- Minimum support scale HOT 4
- MemoryError while running on transactions
- Missing patterns HOT 1
- How show support for each rules ?
- The count of root is missing HOT 2
- Items missing in the output HOT 7
- MemoryError while running on a 50 item transactions HOT 2
- the threshold in find_frequent_patterns is not working
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