8388a1d55e
DOC remove redundant example multiclass logistic regression ( #29966 )
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Co-authored-by: Adrin Jalali <adrin.jalali@gmail.com>
2024-10-22 11:04:39 +00:00
51c8e0e19d
CLN replace authors with the standard line ( #29250 )
2024-06-17 17:57:02 +00:00
55ca335e42
CLN use new license notice line ( #29246 )
2024-06-13 15:51:09 +02:00
a6e1d2fdf7
DOC Removing warnings from plot_logistic_multinomial examples ( #29120 )
2024-05-28 09:19:48 +00:00
20c8e69d0f
API deprecate multi_class in LogisticRegression ( #28703 )
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Co-authored-by: Jérémie du Boisberranger <jeremie@probabl.ai>
2024-05-03 14:48:25 +02:00
42173fdb34
MNT add isort to ruff's rules ( #26649 )
2023-06-21 17:50:07 +02:00
d400723a21
FEA Add DecisionBoundaryDisplay ( #16061 )
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Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com>
Co-authored-by: Olivier Grisel <olivier.grisel@ensta.org>
Co-authored-by: Loïc Estève <loic.esteve@ymail.com>
2022-03-29 16:36:31 +02:00
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
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
1837224751
Merge pull request #6613 from nelson-liu/correct_license_spelling
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[MRG+1] DOC: fix spellings of 'license'
2016-06-15 13:58:59 +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
d2aaf0f4bb
doc: fix spellings of 'license'
2016-03-31 17:25:31 -07:00
9f136ff293
ENH add multinomial SAG solver for LogisticRegression
2015-12-04 18:36:37 +01:00
Guillaume Lemaitre