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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