On Tue, Jul 17, 2012 at 09:55:28AM -0700, Jake Vanderplas wrote:
> I did a bit more experimentation, and it looks like memoryviews with
> boundscheck and wraparound turned off are largely comparable to pointers
> for *pure indexing*. Slicing is what kills things.
Ha, that's useful information.
On 07/17/2012 09:20 AM, Gael Varoquaux wrote:
> On Tue, Jul 17, 2012 at 09:01:28AM -0700, Jake Vanderplas wrote:
>> I put this together really quickly this morning - let me know if you see
>> anything I missed that makes the comparisons unfair.
> You're at scipy, aren't you? Maybe it would be usefu
On Tue, Jul 17, 2012 at 09:01:28AM -0700, Jake Vanderplas wrote:
> I put this together really quickly this morning - let me know if you see
> anything I missed that makes the comparisons unfair.
You're at scipy, aren't you? Maybe it would be useful to grab some of the
cython folks to have their i
2012/7/17 Jake Vanderplas :
> On 07/16/2012 11:56 PM, Andreas Mueller wrote:
>> On 07/17/2012 07:40 AM, Olivier Grisel wrote:
>>> 2012/7/16 Andreas Mueller :
On 07/16/2012 09:55 PM, Gael Varoquaux wrote:
> On Mon, Jul 16, 2012 at 01:13:55PM -0700, Jake Vanderplas wrote:
>> How do folks
seems like the pointer kung-fu pays off
Thanks Jake!
2012/7/17 Jake Vanderplas :
> On 07/16/2012 11:56 PM, Andreas Mueller wrote:
>> On 07/17/2012 07:40 AM, Olivier Grisel wrote:
>>> 2012/7/16 Andreas Mueller :
On 07/16/2012 09:55 PM, Gael Varoquaux wrote:
> On Mon, Jul 16, 2012 at 01:13
2012/7/17 Rafael Almeida :
> Hello,
>
> I'm experimenting with k-means clustering. When using certain values for k,
> silhouette score returns NaN. Is that a bug or is that how it's supposed to
> work? What does it mean? If it is not a bug, I think the function should
> return something more meanin
On 07/16/2012 11:56 PM, Andreas Mueller wrote:
> On 07/17/2012 07:40 AM, Olivier Grisel wrote:
>> 2012/7/16 Andreas Mueller :
>>> On 07/16/2012 09:55 PM, Gael Varoquaux wrote:
On Mon, Jul 16, 2012 at 01:13:55PM -0700, Jake Vanderplas wrote:
> How do folks feel about using this sort of blee
Hello,
I'm experimenting with k-means clustering. When using certain values for k,
silhouette score returns NaN. Is that a bug or is that how it's supposed to
work? What does it mean? If it is not a bug, I think the function should return
something more meaningful when it fails.
PS: I have sen
Florian Hönig writes:
> Dear list,
>
> analogously to sklearn.preprocessing.scale and sklearn.preprocessing.Scaler,
> I would like to add something for scaling the individual features to
> the interval [0;1].
>
> I have encountered a number of datasets where mean/variance scaling didn't
> help
