6307262210
DOC Fixes plot_sgd example to be consistent with 0.24 ( #22424 )
2022-02-09 18:12:13 +01:00
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
38fd24ac1e
EXA Remove redundant tol parameter for SGDClassifier ( #14556 )
2019-08-02 14:04:10 -04:00
69c8967e21
DOC Fix warnings in examples ( #12654 )
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Fixe or suppresses many warnings in examples, including matplotlib complaining about the non-gui backend.
2019-01-17 21:41:13 +11:00
edeb3af217
Deprecate n_iter in SGDClassifier and implement max_iter ( #5036 )
2017-06-23 21:49:29 +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
5e20b8c664
Fixed pep8 violations. Some 'line too long' errors still remain.
2014-05-15 09:23:16 +05:30
2244098532
Updated examples to use pyplot for plotting instead of pylab
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Some examples not updated because scripts throw error (probably not
because of the change)
2014-05-15 02:18:07 +05:30
837093df7f
P3K: use print as a function in the examples
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Also corrected some typos, including two people misspelling their own names :)
2013-02-01 15:04:42 +01:00
38b455d541
Cosmit pep8
2012-12-25 13:16:05 +01:00
645db95737
ENH adjusted examples to new matplotlib 1.1.1
2012-05-05 20:43:21 +02:00
6f3cc74784
EXMPL: fix legend in sgd sample weights
2012-05-05 19:53:07 +02:00
96d6060cd7
pep8
2011-12-23 10:12:26 -08:00
ddf4b72109
Move project directory from scikits.learn to sklearn
2011-09-02 12:06:57 +02:00
68f27e3790
Revert "Move project directory from scikits.learn to sklearn"
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This reverts commit fd0d3b879d
2011-09-02 12:03:18 +02:00
fd0d3b879d
Move project directory from scikits.learn to sklearn
2011-09-02 11:38:24 +02:00
bc16f01e24
Additional tests for sample weights.
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Fixed some typos in doc strings.
Changed signature of coef_ for SGDClassifier; now adheres to svm convention that coef_ is shape [1, n_features] in the case of binary classification.
2011-03-15 20:50:44 +01:00
dfa75da35d
Sample weights for SGDClassifier.
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Additional test cases for class weight and sample weight.
Example plot for sample weight.
2011-03-15 19:58:56 +01:00
Thomas J. Fan