[scikit-learn] plan to add the association rule classification algorithm in scikit learn

Andreas Mueller t3kcit at gmail.com
Mon Dec 17 22:07:31 EST 2018


Can we add this to the FAQ as out of scope?

Sebastian: feel free to put more into mlxtend :P

On 12/17/18 1:46 AM, Sebastian Raschka wrote:
> Hi Rui,
>
> I agree with Joel that association rule mining could be a bit tricky to fit nicely within the scikit-learn API. Maybe this could be some transformer class? I thought about that a few years ago but remember that I couldn't come up with a good solution at that point.
>
> In any case, I have an association rule implementation in mlxtend (http://rasbt.github.io/mlxtend/user_guide/frequent_patterns/association_rules/), which is based on the apriori algorithm. Some users were asking about Eclat and FP-Growth algorithms, instead of apriori. If you are interested in such a contribution, i.e., implementing Eclat or FP-Growth such that instead of
>
> frequent_itemsets = apriori(df, min_support=0.6, use_colnames=True)
> association_rules(frequent_itemsets, metric="confidence", min_threshold=0.7)
>
> one could use
>
> frequent_itemsets = eclat(df, min_support=0.6, use_colnames=True)
>
> or
>
> frequent_itemsets = fpgrowth(df, min_support=0.6, use_colnames=True)
> association_rules(frequent_itemsets, metric="confidence", min_threshold=0.7)
>
> I would be very happy about such a contribution (see issue tracker at https://github.com/rasbt/mlxtend/issues/248)
>
> If you had an alternative algorithm for frequent itemset generation in mind (I am not sure if others exist, to be honest). I would also be happy about that one, too.
>
> Best,
> Sebastian
>
>> On Dec 17, 2018, at 12:26 AM, Joel Nothman <joel.nothman at gmail.com> wrote:
>>
>> Hi Rui,
>>
>> This has been discussed several times on the mailing list and issue tracker. We are not interested in association rule mining in Scikit-learn for its own purposes. We would be interested in association rule mining only as part of a classification algorithm. Are there such algorithms which are mature and popular enough to meet our inclusion criteria (see our FAQ)?
>>
>> Cheers,
>>
>> Joel
>>
>> On Mon, 17 Dec 2018 at 09:24, rui min <minminmail at hotmail.com> wrote:
>> Dear scikit-learn developers,
>>
>>     I am Rui from Spain, Granada University. Currently I am planning to write an association rule algorithm in scikit-learn.
>>     I don’t know if anyone is working on that. So avoid duplication of the work, I would like to ask here.
>>
>> Hope to hear from you soon.
>>
>>
>> Best Regards
>>
>>
>> Rui
>>
>>
>>
>>
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