Depreciation of the GMM class.
Modification of the GaussianMixture class.
Some functions from the original GSoC code have been removed, renamed or simplified.
Some new functions have been introduced (as the 'check_parameters' function).
Some parameters names have been changed :
- covars_ -> covariances_ : to be coherent with sklearn/covariances
Addition of the parameter 'warm_start' allowing to fit data by using the previous computation.
The old examples have been modified to replace the deprecated GMM class by the new GaussianMixture class.
Every exemple use the eigenvectors norm to solve the scale ellipse problem (Issues 6548).
Correction of all commentaries from the PR
- Rename MixtureBase -> BaseMixture
- Remove n_features_
- Fix some problems
- Add some tests
Correction of the bic/aic test.
Fix the test_check_means and test_check_covariances.
Remove all references to the deprecated GMM class.
Remove initialized_.
Add and correct docstring.
Correct the order of random_state.
Fix small typo.
Some fix in prevision of the integration of the new BayesianGaussianMixture class.
Modification in preparation of the integration of the BayesianGaussianMixture class.
Add 'best_n_iter' attribute.
Fix some bugs and tests.
Change the parameter order in the documentation.
Change best_n_iter_ name to n_iter_.
Fix of the warm_start problem.
Fix the divergence error message.
Correction of the random state init in the test file.
Fix the testing problems.
Update and add comments into the monotonic test.
Dimitri Papadopoulos Orfanos