jakevdp / sklearn_pycon2015 Goto Github PK

In 04.3-Density-GMM.ipynb of In [3], it complains at clf = GMM(4, n_iter=500, random_state=3).fit(x) that:

/usr/local/lib/python2.7/dist-packages/sklearn/mixture/gmm.pyc in fit(self, X, y)
    433             raise ValueError(
    434                 'GMM estimation with %s components, but got only %s samples' %
--> 435                 (self.n_components, X.shape[0]))

Can you please tell what's going on? Thanks!

Hello,
I noticed that in the older sklearn_pycon versions (eg. https://github.com/ogrisel/sklearn_pycon2014/blob/master/notebooks/04_supervised_in_depth.ipynb in line [17] ), the arguments of confusion_matrix are not correct since the right way is to put as first argument the y_test and as second the y_pred.

However, in this version, sklearn_pycon2015 it is correct.

Cheers,
S

I know these notebooks are five years old, but still looks like an excellent resource for getting up to speed based on my previous experience with JakeVDP content.

I created a new virtual environment, pip installed the latest packages, and cloned the repo. Hitting a deprecation error on the very first chart, and it is not obvious to me how to fix this. Any chance that these can be updated? I expect I'll be hitting some other issues as I work through.

I guess I could install all of the older versions of the packages and try again, but I hate to move backward.