2011/12/6 Vlad Niculae <zephy...@gmail.com>:
>
> On Dec 6, 2011, at 11:04 , Gael Varoquaux wrote:
>
>> On Tue, Dec 06, 2011 at 09:41:56AM +0200, Vlad Niculae wrote:
>>> This is actually exactly how the module is designed.
>>
>> Great design! I should have looked at it closer before writing my mail.
>>
>>> We have BaseDictionaryLearning which only implements transforms. I
>>> didn't try but you should be able to instantiate a
>>> BaseDictionaryLearning object, set its components_ manually, and use
>>> its transform.
>>
>> Maybe we need a subclass of this object, for instance 'sparse_coder' that
>> takes as __init__ argument the dictionnary to be used.
> Sounds good, this way it can be used in pipelines. I'll make a pull request.

Also vlad can you check the shape of the output of:

http://scikit-learn.org/dev/modules/generated/sklearn.decomposition.sparse_encode.html
(and its' parallel variant) ?

It looks wrong to me. I would have expected `(n_samples, n_components)` instead.

-- 
Olivier
http://twitter.com/ogrisel - http://github.com/ogrisel

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