Even having a separate plugin will require a lot of maintenance. I am -1 on
any gpu stuff being included directly in sklearn. Maintenance for sklearn
is already tough, and trying to support a huge amount of custom compute
hardware is really, really hard. Ensuring numerical stability between
OS/BLAS versions is already a beast!
We talked in the past about having a core test suite which other packages
cpuld run against as a way to ensure compatibility, and I know that would
be useful for me.
On Feb 12, 2015 1:29 AM, "Ronnie Ghose" <ronnie.gh...@gmail.com> wrote:
> can we have gpu-based/dependent algos as a separate plugin like has been
> done for other things? adding more dependencies sounds irksome.
>
> On Thu, Feb 12, 2015 at 1:24 AM, Gael Varoquaux <
> gael.varoqu...@normalesup.org> wrote:
>
>> > I think I mentioned GaussianRBM as a good addition before, so I will
>> mention
>> > that again here. RBMs and Autoencoders are still useful for feature
>> extraction
>> > in some cases, so it seems reasonable to have them around.
>>
>> I have seen any convincing demonstration using our Bernouilli RBMs. It
>> doesn't feel to me that they are very useful.
>>
>> Gaël
>>
>>
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