So in this case label_predict would be vector X, and label_true vector Y?
Thank you,
From: Emanuela Boros [mailto:emanuela.bo...@gmail.com]
Sent: Tuesday, September 30, 2014 1:28 PM
To: scikit-learn-general@lists.sourceforge.net
Subject: Re: [Scikit-learn-general] mutual information
usually, statistically speaking, you compute the MI score to see to which
extent is your observed frequency of cooccurrence different from what you would
expect, so labels_true and labels_predict.
On Tue, Sep 30, 2014 at 7:13 PM, Pagliari, Roberto
<rpagli...@appcomsci.com<mailto:rpagli...@appcomsci.com>> wrote:
I’m a little confused by the description of mutual information score.
What is the meaning of clustering, and why are the inputs called labels_true
and labels_predict.
Shouldn’t mutual info be computed between two generic vectors X and Y?
Thanks,
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