scikit-learn

History

Olivier Grisel fc7d6e6986 [MRG] Fix FutureWarnings in logistic regression examples (#12114 ) * Be more specific about logistic regression solver in examples * Use early stopped SGD (faster) and plot cross-validated error for best models * Fix LR solver in /plot_voting_probas.pyexamples/ensemble/plot_voting_probas.py * Fix LR solver & scale data in plot_digits_classification_exercise.py * Use saga solver in plot_logistic_l1_l2_sparsity.py * Use LBFGS solver in plot_iris_logistic.py * Use LBFGS in plot_logistic.py * Use SAGA solver for Logistic Regression Path example * Use LBFGS solver in plot_classifier_chain_yeast.py * Use LBFGS solver in plot_rbm_logistic_classification.py * typo * typo * Bump up pandas dependency to 0.17.1 * Bump up examples minimal deps to match pandas 0.17.1 * Fix figure layout for plot_digits_pipe.py * Version numbers are not decimal numbers * Set multinomial, no scaling to keep example simple, fix formatting of example doc * Missing plt.tight_layout() in plot_voting_probas.py * Missing plt.tight_layout() in plot_logistic.py		2018-09-24 18:22:40 +01:00
..
README.txt	COSMIT Typo. Englais svp. Closes #1090 .	2012-09-01 15:49:46 +02:00
plot_cv_diabetes.py	[MRG+1] EXA Set cv=5 in examples (#11856 )	2018-08-20 15:22:42 -04:00
plot_cv_digits.py	[MRG+1] EXA Set cv=5 in examples (#11856 )	2018-08-20 15:22:42 -04:00
plot_digits_classification_exercise.py	[MRG] Fix FutureWarnings in logistic regression examples (#12114 )	2018-09-24 18:22:40 +01:00
plot_iris_exercise.py	ENH 13 more examples fixed with matplotlib 2.0 (#9029 )	2017-06-28 14:56:27 +02:00

README.txt

Tutorial exercises
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Exercises for the tutorials