Well you could penalize by epsilon times 1/C or something, if you want a
tradeoff of complexity and accuracy.
You do have access to the estimator in the scoring.
Or you could do it manually after doing the grid-search (with refit=False).
Really, ties shouldn't happen in practice, though. How large is your
dataset?
On 02/19/2015 02:23 PM, Pagliari, Roberto wrote:
With SVM, I’d really to pick the C and gamma I want when multiple
pairs have the same best CV score..
*From:*Andy [mailto:t3k...@gmail.com]
*Sent:* Thursday, February 19, 2015 4:48 PM
*To:* scikit-learn-general@lists.sourceforge.net
*Subject:* Re: [Scikit-learn-general] custom scorer with parameters
Not really.
The scorer should not really know that it is inside a grid-search.
What is it you want to do?
On 02/19/2015 10:18 AM, Pagliari, Roberto wrote:
I'd like to implement a custom score function for grid search CV.
would it be possible to get the current best parameters from
within the score function?
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