53495a2e68
ENH Accelerate plot_mlp_alpha.py ( #21648 )
2021-11-12 17:23:20 -05:00
d4d5f8c7e0
MAINT consistent use of `print(__doc__)` in examples ( #21307 )
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Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com>
2021-10-22 15:33:22 +02:00
70a185ae59
MAINT Enable and run black on examples ( #20502 )
2021-10-07 10:13:00 +02:00
f4cd388569
EXA Improve the alphas values in MLP example ( #17880 )
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Co-authored-by: 叶贞明 TaiChiTiger <sakyayj@126.com>
2020-07-10 12:39:37 +02:00
d2b8542634
EXA change max_iter and enable early_stopping to get rid of convergence warning in plot_mlp_alpha ( #16260 )
2020-01-30 16:43:02 +01:00
9bdcf25fda
EXA Fixed Convergence Warnings by changing solver to 'lbfgs' in plot_mlp_alpha.py ( #14158 )
2019-06-23 22:51:12 +08:00
acb8106472
MNT Use list and dict comprehension ( #12668 )
2019-01-08 09:32:34 +11:00
6986e9b5db
[MRG + 1] 18 more examples with matplotlib 2.0 updates ( #8983 )
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* 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
c5fd5cbb7e
DOC: fixed typos and one style issue in plot examples
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The comment in a few example plots refer to "the mesh [x_min, m_max] x
[y_min, y_max]" when it should be "x_max".
Also fixed the spacing in plot_random_forest_embedding.py `[x_min,
x_max] x [y_min, y_max]` to `[x_min, x_max]x[y_min, y_max]` to comply
with the coding style of other files with similar code (like those in
the current pull request).
2016-04-25 11:59:40 +08:00
0485ada58b
General spelling fixes
2015-12-16 09:46:42 -08:00
2199e50f34
Migrate examples to avoid deprecated module
2015-11-01 22:22:37 +01:00
917bacb66e
Finish up mlp_refactoring and squash previous commits
2015-10-23 12:08:11 -04:00
3891af8d99
iterate, improve. Nesterov's momentum.
2015-10-21 14:43:38 -04:00
587315e3a9
(WIP) Added Multi-layer perceptron (MLP)
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Seeking to finalize MLP
2015-10-21 14:41:40 -04:00
Xiao Yuan