scikit-learn

History

Aarshay Jain 6986e9b5db [MRG + 1] 18 more examples with matplotlib 2.0 updates (#8983 ) * updated plot_label_propagation_versus_svm_iris.py plot * updated svm/plot_weighted_samples.py plot * made semi_supervised/plot_label_propagation_versus_svm_iris.py pep8 compliant * modified tree/plot_tree_regression.py [size and edgecolor] * updated tree/plot_tree_regression_multioutput.py [size+color] * fixed examples/semi_supervised/plot_label_propagation_versus_svm_iris.py for backward compatibility * neural_networks/plot_mlp_alpha.py - matplotlib2 update * examples/neural_networks/plot_mlp_alpha.py - pep8 fix * examples/neighbors/plot_nearest_centroid.py - matplotlib2.0 + pep8 fix * neighbors/plot_classification.py - matplotlib2.0 + pep8 fix * examples/neighbors/plot_lof.py - matplotlib2.0 update * examples/model_selection/plot_underfitting_overfitting.py - matplotlib2.0 + pep8 * examples/mixture/plot_concentration_prior.py - matplotlib2.0 + pep8 * examples/linear_model/plot_logistic_multinomial.py - matplotlib2.0 update * linear_model/plot_sgd_iris.py - matplotlib2.0 + pep8 fix * examples/linear_model/plot_sgd_weighted_samples.py - matplotlib2.0 + pep8 * examples/linear_model/plot_sgd_separating_hyperplane.py - matplotlib2.0 update * examples/feature_selection/plot_permutation_test_for_classification.py - matplotlib + pe8 * examples/linear_model/plot_bayesian_ridge.py - matplotlib2.0 update * examples/feature_selection/plot_feature_selection.py - matplotlib2.0 update * examples/feature_selection/plot_f_test_vs_mi.py - matplotlib2.0 + pep8 * examples/feature_selection/plot_f_test_vs_mi.py - matplotlib2.0+ pep8 fix * examples/model_selection/plot_underfitting_overfitting.py - error fixed * blue -> black edgecolor fix for 2 examples		2017-06-07 13:23:12 +02:00
..
README.txt	move around examples for better structure.	2014-07-17 09:35:30 +02:00
plot_concentration_prior.py	[MRG + 1] 18 more examples with matplotlib 2.0 updates (#8983 )	2017-06-07 13:23:12 +02:00
plot_gmm.py	Add Dirichlet process prior to BayesianGaussianMixture (#7386 )	2016-09-10 15:41:52 +02:00
plot_gmm_covariances.py	[MRG+1] Rename CV params n_{folds,iter} to n_splits (#7187 )	2016-08-16 13:56:55 -07:00
plot_gmm_pdf.py	Integration of the new GaussianMixture class.	2016-04-21 18:08:54 +02:00
plot_gmm_selection.py	Modification of the GaussianMixture class to use cholesky precision matrices. (#6743 )	2016-05-10 16:33:38 +02:00
plot_gmm_sin.py	Add Dirichlet process prior to BayesianGaussianMixture (#7386 )	2016-09-10 15:41:52 +02:00

README.txt

.. _mixture_examples:

Gaussian Mixture Models
-----------------------

Examples concerning the :mod:`sklearn.mixture` module.