---------- Forwarded message ---------- From: Bharat Didwania 4-Yr B.Tech. Electrical Engg. < bharat.didwania.eee14@itbhu.ac.in> Date: Mon, Sep 26, 2016 at 11:04 PM Subject: Re: [Scikit-learn-general] MultinomialNB Scikit-learn question To: scikit-learn-general@lists.sourceforge.net It seems you are using the sample_weights with OneVsAll classifier. I think it should be an issue as the base classifier, i.e MultinomialNB supports sample_weights but OneVsAll does not. Sent with Mailtrack <https://mailtrack.io/install?source=signature&lang=en&referral=bharat.didwania.eee14@itbhu.ac.in&idSignature=22> On Mon, Sep 26, 2016 at 4:10 PM, Diego Vergara <reiby.viper@gmail.com> wrote:

Hi Scikit-learn developer team. I have a query in which I need help.

How does it work sample weight in MultinomialNB ?, Is there any documentation or equation?.

In the original equation (http://scikit-learn.org/stabl e/modules/naive_bayes.html#multinomial-naive-bayes), weights applied to individual samples, throws me bad results. Best regards, thank you for your answers.

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