scikit-learn/examples
Fabian Pedregosa 8143abbadf Add a complete example of SVM classifier using a precomputed kernel. 2010-05-17 11:25:35 +02:00
..
em DOC: Moving the em examples, step 2. 2010-04-23 05:45:19 +00:00
svm Add a complete example of SVM classifier using a precomputed kernel. 2010-05-17 11:25:35 +02:00
README.txt DOC: Rework of the docs and examples: multiple commits because commits 2010-04-23 05:48:03 +00:00
lasso_and_elasticnet.py adding __str__ method in LinearModel. adding examples for lasso + elastic + path with crossval. adding computation of explained variance (ie. r^2). disabling early stopping in paths as it turns out on an example that it tends to stop the computation too early 2010-05-09 12:51:07 +02:00
lasso_path_with_crossvalidation.py adding __str__ method in LinearModel. adding examples for lasso + elastic + path with crossval. adding computation of explained variance (ie. r^2). disabling early stopping in paths as it turns out on an example that it tends to stop the computation too early 2010-05-09 12:51:07 +02:00
lda.py removing unnecessary imports 2010-05-09 11:27:43 +02:00
naive_bayes.py ENH: Refactor the datasets to add the digits standard dataset. 2010-04-19 14:15:47 +00:00
plot_classification_probability.py adding example to view posterior class probabilities when using LogisticRegression or SVC 2010-04-22 17:58:11 +00:00
plot_digits_classification.py s/n_features/n_samples/ in digits example 2010-04-22 09:28:12 +00:00
plot_feature_selection.py DOC: Improve the example docstrings. 2010-04-21 17:04:36 +00:00
plot_lasso_coordinate_descent_path.py bug fix in coordinate descent for GLMNET 2010-05-06 16:30:02 +02:00
plot_logistic_l1_l2_coef.py adding example that illustrates that L1 penalty leads to sparse estimates of coef_ 2010-04-22 17:58:50 +00:00
plot_neighbors.py DOC: Improve the example docstrings. 2010-04-21 17:04:36 +00:00
run_all.sh Refactoring on the svm module. 2010-04-29 06:59:48 +00:00

README.txt

General examples
-------------------

General-purpose and introductory examples for the scikit.