no i mean external plugin that they have to support - we're hands off. we
can link to it but that's it - no other guarantees like we've done in the
past iirc
On Thu, Feb 12, 2015 at 1:48 AM, Kyle Kastner <kastnerk...@gmail.com> wrote:
> 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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