On Mon, Jul 8, 2013 at 10:20 AM, Bertrand Thirion <bertrand.thir...@inria.fr
> wrote:
[clip]
> Sounds good to me. As a matter of taste, I like `log_likelihood`, which
> would be a synonym of `eval` in that case (as a second choice, log_density
> rather than log_probability) ?
>
>
I'm -1 on log_likelihood, because the quantity the ``score`` method is
returning is actually the log likelihood. The ``eval`` method is returning
the log-likelihood per point, which is equivalent to the log-probability of
that point under the model, and also equivalent to the log of the
normalized density under the model.
Jake
> Bertrand
>
> I think this would be a good time to discuss what we'd like for a general
> interface for density estimators within scikit-learn. A common interface
> would have the advantage that several density estimators could be used
> together within a general Bayesian generative classification routine (I've
> created a proof-of-concept of this estimator at [1]). Note that any change
> to the above method names would require the current GMM interface to be
> modified.
>
> Let me know if you have thoughts on this,
> Jake
>
> [0] https://github.com/scikit-learn/scikit-learn/pull/1732
> [1] https://gist.github.com/jakevdp/5891921
>
>
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