Dear Andy,
On Thu, Apr 9, 2015 at 2:56 PM, Andy <t3k...@gmail.com> wrote:
> Hi Dan.
>
> Scikit-learn focuses on "flat" signals and algorithms and we don't
> usually add algorithms on time-series or nd-data,
> as that would significantly widen the scope and complicate API. Maybe we
> should add this to the FAQ.
>
> FWIW I didn't have a very good experience when working with
> convolutional (shouldn't it be that?) NMF.
> Why no use an autoencoder approach?
Sorry for being dense here but would you elaborate a little bit more what
you
are suggesting?
Maybe pointing me to a similar application of an autoencoder could help a
lot.
Thanks in advance.
Eraldo
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