To be clear,
http://scikit-learn.org/dev<http://scikit-learn.org/dev/whats_new.html>
corresponds
to master (with a little lag).
On Thu, Jul 18, 2013 at 9:41 AM, Joel Nothman
<[email protected]>wrote:
> whats_new.html says:
>
>
> - Multi-label classification output is now supported by
>
> metrics.accuracy_score<http://scikit-learn.org/dev/modules/generated/sklearn.metrics.accuracy_score.html#sklearn.metrics.accuracy_score>
>
> ,metrics.zero_one_loss<http://scikit-learn.org/dev/modules/generated/sklearn.metrics.zero_one_loss.html#sklearn.metrics.zero_one_loss>
> ,
> metrics.f1_score<http://scikit-learn.org/dev/modules/generated/sklearn.metrics.f1_score.html#sklearn.metrics.f1_score>
> ,
> metrics.fbeta_score<http://scikit-learn.org/dev/modules/generated/sklearn.metrics.fbeta_score.html#sklearn.metrics.fbeta_score>
>
> ,metrics.classification_report<http://scikit-learn.org/dev/modules/generated/sklearn.metrics.classification_report.html#sklearn.metrics.classification_report>
> ,
> metrics.precision_score<http://scikit-learn.org/dev/modules/generated/sklearn.metrics.precision_score.html#sklearn.metrics.precision_score>
>
> andmetrics.recall_score<http://scikit-learn.org/dev/modules/generated/sklearn.metrics.recall_score.html#sklearn.metrics.recall_score>
> by Arnaud Joly <http://www.ajoly.org/>.
>
>
> - Two new metrics
> metrics.hamming_loss<http://scikit-learn.org/dev/modules/generated/sklearn.metrics.hamming_loss.html#sklearn.metrics.hamming_loss>
> and
> metrics.jaccard_similarity_score<http://scikit-learn.org/dev/modules/generated/sklearn.metrics.jaccard_similarity_score.html#sklearn.metrics.jaccard_similarity_score>
> are
> added with multi-label support by Arnaud Joly <http://www.ajoly.org/>.
>
>
>
> On Thu, Jul 18, 2013 at 9:29 AM, Josh Wasserstein
> <[email protected]>wrote:
>
>> Thanks Joel. I am working with the master branch from GitHub. Do you know
>> which multi-label 'scoring' methods are supported by GridSearchCV in for
>> now?
>>
>> Josh
>>
>>
>> On Wed, Jul 17, 2013 at 7:23 PM, Joel Nothman <
>> [email protected]> wrote:
>>
>>> It's a work in progress. See http://scikit-learn.org/dev/whats_new.html
>>>
>>> I think the classes of problems handled by different types of metrics
>>> should be enumerated
>>> http://scikit-learn.org/dev/modules/model_evaluation.html but currently
>>> they aren't.
>>>
>>> - Joel
>>>
>>>
>>> On Thu, Jul 18, 2013 at 8:49 AM, Josh Wasserstein <
>>> [email protected]> wrote:
>>>
>>>> Hi,
>>>>
>>>> What 'scoring' methods (strings or callables) does GridSearchCV support
>>>> for multi-label classification?
>>>>
>>>> I haven't been able to find much on the documentation, but I saw this
>>>> issue open: Make GridSearchCV and cross_val_score work with
>>>> multilabel data<https://github.com/scikit-learn/scikit-learn/issues/1683>:
>>>> by
>>>> Andreas. Does that mean that there is currently no multi-label scoring
>>>> method supported by GridSearchCV?
>>>>
>>>> Josh
>>>>
>>>>
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>
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