* 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 |
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| .. | ||
| README.txt | ||
| plot_classifier_chain_yeast.py | ||
README.txt
.. _multioutput_examples: Multioutput methods ------------------- Examples concerning the :mod:`sklearn.multioutput` module.