Hi,
I'm not sure how to provide the StratifiedKFold parameter to gridsearchCV.
Should it be part of the pipeline?
Thank you,
From: Pagliari, Roberto [mailto:rpagli...@appcomsci.com]
Sent: Wednesday, February 25, 2015 8:17 PM
To: scikit-learn-general@lists.sourceforge.net
Subject: Re: [Scikit-learn-general] grid search random state
Thank you!
From: Andy [mailto:t3k...@gmail.com]
Sent: Wednesday, February 25, 2015 3:24 PM
To:
scikit-learn-general@lists.sourceforge.net<mailto:scikit-learn-general@lists.sourceforge.net>
Subject: Re: [Scikit-learn-general] grid search random state
On 02/24/2015 08:26 PM, Pagliari, Roberto wrote:
I have two questions about gridsearchcv
1. Is it possible to fix the random state of the underlying kfold, for
testing purposes?
2. When passing parameters, such as C and gamma for svm, does grid search
go through them in order?
1. Yes. By default, there is no shuffling, so you don't need to do anything for
reproducibility.
You can instantiate a StratifiedKFold object with shuffle=True and fixed random
seed and give that as the cv argument to GridSearchCV if you like.
2. It starts with varying the parameter which is lexically largest, and each
parameter is varied in order of the list you give it.
By default, calling GridSearchCV twice will give you identical results.
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