sampler addded with tests cases and documentation.

Added support for kernels: 
 * Radial Basis Function Kernel (RBFSampler)
 * Additive Chi Squared Kernel (AdditiveChi2Sampler)
 * Skewed Chi Squared Kernel (SkewedChi2Sampler)
I use that only to debug, I have erased that. Thanks

Related to the train and dense flag. I think in this case we apply the sampler after the possible convertion to dense.

So, in this case there’s no case for csr_matrix (I have erased that part)

Thanks

From: Dan Blanchard [mailto:notifications@github.com]
Sent: Wednesday, July 02, 2014 3:43 PM
To: EducationalTestingService/skll
Cc: Murrugarra Llerena, Nils E
Subject: Re: [skll] sampler addded with tests cases and documentation. (#124)


In tests/test_skll.py:

> @@ -298,6 +299,9 @@ def check_specified_cv_folds(numeric_ids):

>              grid_score_matches = GRID_RE.findall(outstr)

>              assert len(grid_score_matches) == grid_size

>              for match_str in grid_score_matches:

> +                logger = logging.getLogger(__name__)

Since this is all run through nose, you should actually just use print statements here. The results will get captured by nose and only be displayed when there's an error.

—
Reply to this email directly or view it on GitHub<https://github.com/EducationalTestingService/skll/pull/124/files#r14478979>.

________________________________

This e-mail and any files transmitted with it may contain privileged or confidential information. It is solely for use by the individual for whom it is intended, even if addressed incorrectly. If you received this e-mail in error, please notify the sender; do not disclose, copy, distribute, or take any action in reliance on the contents of this information; and delete it from your system. Any other use of this e-mail is prohibited.


Thank you for your compliance.

________________________________