Re: [Scikit-learn-general] Searchlight algorithm with scikit-learn?

2011-10-05 Thread Michael Waskom
Hi Vincent. Thanks! I'm poking around now. It looks like you'll need to edit the scipy.io.loadmat call to use struct_as_record=False so that it won't fail as written with newer scipys. Couple other bugs that I'm less sure of the origin. But thanks for throwing what you have up, it looks like i

Re: [Scikit-learn-general] Faster hierarchical clustering

2011-10-05 Thread Gael Varoquaux
On Wed, Oct 05, 2011 at 10:29:43AM +0200, Lars Buitinck wrote: > > In the third paragraph of his paper, he mentions: > > Even when software packages do not use the inefficient primitive [stepwise, > > procedural] algorithm (as SciPy (Eads,2007) and the R (R Development Core > > Team, 2011) methods h

Re: [Scikit-learn-general] Meanshift with one cluster centre

2011-10-05 Thread Olivier Grisel
2011/10/5 Brian Holt : > Is there a way to specify the number of cluster centres required by > meanshift?  From the documentation and a bit of playing around, it seems > like algorithm decides how many cluster centres to discover... This is supposed to be the main selling point of the mean shift :

Re: [Scikit-learn-general] Meanshift with one cluster centre

2011-10-05 Thread Alexandre Gramfort
> Is there a way to specify the number of cluster centres required by > meanshift?  From the documentation and a bit of playing around, it seems > like algorithm decides how many cluster centres to discover... as far as I know that's the whole point of meanshift, the number of clusters is data-dri

[Scikit-learn-general] Meanshift with one cluster centre

2011-10-05 Thread Brian Holt
Is there a way to specify the number of cluster centres required by meanshift? From the documentation and a bit of playing around, it seems like algorithm decides how many cluster centres to discover... -- All the data con

Re: [Scikit-learn-general] Request for comments on pull request #310 (Decision Tree)

2011-10-05 Thread David Montgomery
I am sooo happy to see trees.I will be a very very active user and cant wait to take it for a test drive On Wed, Oct 5, 2011 at 8:12 PM, Brian Holt wrote: > Hi, PR310 is nearly ready to be merged, if anyone has any further comment, > please let me know. > Link: https://github.com/scik

[Scikit-learn-general] Request for comments on pull request #310 (Decision Tree)

2011-10-05 Thread Brian Holt
Hi, PR310 is nearly ready to be merged, if anyone has any further comment, please let me know. Link: https://github.com/scikit-learn/scikit-learn/pull/310 This pull request contains an implementation of Classification and Regression Trees. This version is highly optimised and is significantly fas

Re: [Scikit-learn-general] Faster hierarchical clustering

2011-10-05 Thread Lars Buitinck
2011/10/4 Conrad Lee : > On Tue, Oct 4, 2011 at 10:36 PM, Gael Varoquaux > wrote: >> >> On Tue, Oct 04, 2011 at 10:27:01PM +0200, Lars Buitinck wrote: >> > You must mean from Θ(n² lg n) to Θ(n²). A generic Θ(n² lg n) algo is >> > listed in many textbooks [1], I sure hope we don't have the naive al

[Scikit-learn-general] Any further comments for Pull Request #364

2011-10-05 Thread Robert Layton
Hi, PR364 is nearly ready to be merged, if anyone has any further comment, please let me know. Link: https://github.com/scikit-learn/scikit-learn/pull/364#issuecomment-2295448 This PR adds the Silhouette Coefficient to metrics, and refactors the metrics module a little. - Robert -- My public