Re: [scikit-learn] Jeff Levesque: association rules

2018-06-11 Thread Joel Nothman
We have definitely discussed association rules in issues before. It's
considered out of scope for scikit-learn, except insofar as it is used for
learning classification. We haven't yet been convinced that classifiers
based on associative learning have enough practical demand to justify their
maintenance in the project. Then again, we have not had a pull request
implementing any such algorithms; there seems to be demand mostly for the
vanilla association rule mining algorithms. They are definitely out of
scope for scikit-learn.

See: https://github.com/scikit-learn/scikit-learn/issues/801,
https://github.com/scikit-learn/scikit-learn/issues/2662,
https://github.com/scikit-learn/scikit-learn/issues/2872
​
___
scikit-learn mailing list
scikit-learn@python.org
https://mail.python.org/mailman/listinfo/scikit-learn


Re: [scikit-learn] Jeff Levesque: association rules

2018-06-11 Thread Jonathan Rocher
Yep, pyfim is what I too used for a past project...

On Mon, Jun 11, 2018 at 1:55 PM Dmitry Ignatov 
wrote:

> My students use it too :-)
>
> пн, 11 июня 2018 г. в 20:53, Christian Braune <
> christian.braun...@gmail.com>:
>
>> Hey,
>>
>> Christian Borgelt currently has several itemset mining algorithms online
>> with a python interface: http://borgelt.net/pyfim.html .
>>
>> Best regards,
>>  Chris
>>
>>
>> Sebastian Raschka  schrieb am Mo., 11. Juni
>> 2018 um 19:30 Uhr:
>>
>>> Hi Jeff,
>>>
>>> had a similar question 1-2 years ago and ended up using Chris Borgelt's
>>> C command line tools but for convenience, i also implemented basic
>>> association rule & frequent pattern mining in Python here:
>>>
>>> http://rasbt.github.io/mlxtend/user_guide/frequent_patterns/association_rules/
>>>
>>> Best,
>>> Sebastian
>>>
>>> > On Jun 11, 2018, at 7:23 AM, Jeffrey Levesque via scikit-learn <
>>> scikit-learn@python.org> wrote:
>>> >
>>> > Hi guys,
>>> > What are some good approaches for association rules. Is there
>>> something built in, or do people sometimes use alternate packages, maybe
>>> apache spark?
>>> >
>>> > Thank you,
>>> >
>>> > Jeff Levesque
>>> > https://github.com/jeff1evesque
>>> > ___
>>> > scikit-learn mailing list
>>> > scikit-learn@python.org
>>> > https://mail.python.org/mailman/listinfo/scikit-learn
>>>
>>> ___
>>> scikit-learn mailing list
>>> scikit-learn@python.org
>>> https://mail.python.org/mailman/listinfo/scikit-learn
>>>
>> ___
>> scikit-learn mailing list
>> scikit-learn@python.org
>> https://mail.python.org/mailman/listinfo/scikit-learn
>>
> ___
> scikit-learn mailing list
> scikit-learn@python.org
> https://mail.python.org/mailman/listinfo/scikit-learn
>


-- 
Jonathan Rocher
Austin TX, USA
twitter:@jonrocher , linkedin:jonathanrocher

-
___
scikit-learn mailing list
scikit-learn@python.org
https://mail.python.org/mailman/listinfo/scikit-learn


Re: [scikit-learn] Jeff Levesque: association rules

2018-06-11 Thread Dmitry Ignatov
My students use it too :-)

пн, 11 июня 2018 г. в 20:53, Christian Braune :

> Hey,
>
> Christian Borgelt currently has several itemset mining algorithms online
> with a python interface: http://borgelt.net/pyfim.html .
>
> Best regards,
>  Chris
>
>
> Sebastian Raschka  schrieb am Mo., 11. Juni
> 2018 um 19:30 Uhr:
>
>> Hi Jeff,
>>
>> had a similar question 1-2 years ago and ended up using Chris Borgelt's C
>> command line tools but for convenience, i also implemented basic
>> association rule & frequent pattern mining in Python here:
>>
>> http://rasbt.github.io/mlxtend/user_guide/frequent_patterns/association_rules/
>>
>> Best,
>> Sebastian
>>
>> > On Jun 11, 2018, at 7:23 AM, Jeffrey Levesque via scikit-learn <
>> scikit-learn@python.org> wrote:
>> >
>> > Hi guys,
>> > What are some good approaches for association rules. Is there something
>> built in, or do people sometimes use alternate packages, maybe apache spark?
>> >
>> > Thank you,
>> >
>> > Jeff Levesque
>> > https://github.com/jeff1evesque
>> > ___
>> > scikit-learn mailing list
>> > scikit-learn@python.org
>> > https://mail.python.org/mailman/listinfo/scikit-learn
>>
>> ___
>> scikit-learn mailing list
>> scikit-learn@python.org
>> https://mail.python.org/mailman/listinfo/scikit-learn
>>
> ___
> scikit-learn mailing list
> scikit-learn@python.org
> https://mail.python.org/mailman/listinfo/scikit-learn
>
___
scikit-learn mailing list
scikit-learn@python.org
https://mail.python.org/mailman/listinfo/scikit-learn


Re: [scikit-learn] Jeff Levesque: association rules

2018-06-11 Thread Dmitry Ignatov
Hi All,

A good tool. I also use SPMF (Java-based library) and Apache Spark (they do
not have closed itemsets there). There is a part of Orange data mining on
association rules mining, which can be used as a Python library.

A couple of years ago I asked Gilles Louppe about frequent itemset mining
tools within scikit-learn as well. The answer was something like that —
nobody asked us about that...

Best regards,
Dmiry

пн, 11 июня 2018 г. в 19:30, Sebastian Raschka :

> Hi Jeff,
>
> had a similar question 1-2 years ago and ended up using Chris Borgelt's C
> command line tools but for convenience, i also implemented basic
> association rule & frequent pattern mining in Python here:
>
> http://rasbt.github.io/mlxtend/user_guide/frequent_patterns/association_rules/
>
> Best,
> Sebastian
>
> > On Jun 11, 2018, at 7:23 AM, Jeffrey Levesque via scikit-learn <
> scikit-learn@python.org> wrote:
> >
> > Hi guys,
> > What are some good approaches for association rules. Is there something
> built in, or do people sometimes use alternate packages, maybe apache spark?
> >
> > Thank you,
> >
> > Jeff Levesque
> > https://github.com/jeff1evesque
> > ___
> > scikit-learn mailing list
> > scikit-learn@python.org
> > https://mail.python.org/mailman/listinfo/scikit-learn
>
> ___
> scikit-learn mailing list
> scikit-learn@python.org
> https://mail.python.org/mailman/listinfo/scikit-learn
>
___
scikit-learn mailing list
scikit-learn@python.org
https://mail.python.org/mailman/listinfo/scikit-learn


Re: [scikit-learn] Jeff Levesque: association rules

2018-06-11 Thread Sebastian Raschka
Hi Jeff,

had a similar question 1-2 years ago and ended up using Chris Borgelt's C 
command line tools but for convenience, i also implemented basic association 
rule & frequent pattern mining in Python here:
http://rasbt.github.io/mlxtend/user_guide/frequent_patterns/association_rules/

Best,
Sebastian

> On Jun 11, 2018, at 7:23 AM, Jeffrey Levesque via scikit-learn 
>  wrote:
> 
> Hi guys,
> What are some good approaches for association rules. Is there something built 
> in, or do people sometimes use alternate packages, maybe apache spark?
> 
> Thank you,
> 
> Jeff Levesque
> https://github.com/jeff1evesque
> ___
> scikit-learn mailing list
> scikit-learn@python.org
> https://mail.python.org/mailman/listinfo/scikit-learn

___
scikit-learn mailing list
scikit-learn@python.org
https://mail.python.org/mailman/listinfo/scikit-learn


[scikit-learn] Jeff Levesque: association rules

2018-06-11 Thread Jeffrey Levesque via scikit-learn
Hi guys,
What are some good approaches for association rules. Is there something built 
in, or do people sometimes use alternate packages, maybe apache spark?

Thank you,

Jeff Levesque
https://github.com/jeff1evesque
___
scikit-learn mailing list
scikit-learn@python.org
https://mail.python.org/mailman/listinfo/scikit-learn