MAINT: ignore coveralls failures
Merge pull request #3145 from ogrisel/travis-coveralls

[MRG] MAINT: ignore coveralls failures
TST MiniBatchKMeans with many reassignments

Regression test for #3039.
DOC L1 distance works for sparse matrices

This was implemented in 3bc3d9f5ea773f6a2e9c207e9243102651785aac.
MAINT remove default values from private funcs in GMM

Removed default values for 'mean' and 'covars' arguments.
They did not have the excepted format causing the functions
to fail when called with default arguments.
ENH faster sampling in GMMs

A few optimizations for sampling with full covariance matrix:
1) use eigh instead of svd, which are equivalent (up to numerical precision),
2) use broadcasting instead of matrix multiplication for the product U s^(1/2),
3) simpler construction of the random vectors.
Merge branch 'pr/3120'

Fixes #3120, "Bad default arguments in gmm.py".
FIX numerical stability in GMM with eigh sampling