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scikit-learn/examples
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Gael Varoquaux 388d1233dd API: change 'embed_solve' to 'assign_labels' 2012-10-27 20:40:06 +02:00
..
applications FIX : fix application example due to API change 2012-10-27 15:38:19 +02:00
cluster API: change 'embed_solve' to 'assign_labels' 2012-10-27 20:40:06 +02:00
covariance BUG: example now needs 'assume_centered' 2012-07-23 16:07:14 +02:00
datasets ENH minore example beautification 2012-09-15 16:57:29 +01:00
decomposition Two iterations are enough for the test. 2012-10-13 19:29:02 +02:00
ensemble COSMIT pep8 2012-09-04 17:24:01 +01:00
exercises DOC: further improvements to the model selection exercise 2012-10-27 16:49:22 +02:00
gaussian_process COSMIT pep8 2012-02-17 16:49:48 +01:00
linear_model ENH rename Scaler to StandardScaler everywhere 2012-09-23 17:31:15 +01:00
manifold ENH slight improvement to mds speed, modified examples to not run mds that long. 2012-06-03 22:43:41 +02:00
mixture ENH set n_fold default to 3, rename k to n_fold in all doctests, docs, and examples 2012-10-10 19:10:29 +01:00
neighbors Update examples/neighbors/plot_nearest_centroid.py 2012-03-27 09:32:40 +12:00
semi_supervised MISC don't use ``set_cmap`` 2012-05-05 20:43:21 +02:00
svm MISC renamed n_iterations to n_iter in all other places. 2012-10-10 19:10:29 +01:00
tree COSMIT pep8 2012-07-15 13:35:08 +01:00
README.txt DOC: Fixed links to modules in the example gallery 2011-12-19 16:07:01 +01:00
document_classification_20newsgroups.py Can afford better precision in news20 example. 2012-09-29 02:16:05 +09:00
document_clustering.py ENH rename k in clustering examples and doctests to n_clusters 2012-05-30 07:41:34 +02:00
feature_selection_pipeline.py peping8 examples 2011-12-19 18:16:51 +01:00
feature_stacker.py MISC renaming FeatureStacker to FeatureUnion, adding docs 2012-09-30 11:55:32 +01:00
grid_search_digits.py reworked nested grid search example for better doc and output, use train_test_split and add more cross links 2012-02-11 09:31:51 +01:00
grid_search_text_feature_extraction.py fix warning: add underscore to: grid_search.best_estimator_ and 2012-09-01 15:28:19 +02:00
mlcomp_sparse_document_classification.py Renamed Vectorizer to TfidfVectorizer + deprecation warning 2012-03-07 06:48:56 -08:00
plot_classification_probability.py peping8 examples 2011-12-19 18:16:51 +01:00
plot_confusion_matrix.py peping8 examples 2011-12-19 18:16:51 +01:00
plot_digits_classification.py Merged some examples into examples folder. 2012-03-06 23:40:49 +01:00
plot_digits_pipe.py COSMIT pep8 2012-05-29 22:38:42 +02:00
plot_feature_selection.py DOC somewhat improved feature selection example 2012-09-17 22:07:58 +01:00
plot_hmm_sampling.py COSMIT + MISC pep8, pyflakes, typos and some other cleanup of examples. 2012-04-29 23:13:06 +02:00
plot_hmm_stock_analysis.py made `diag` explicit in example 2012-06-01 17:47:17 +02:00
plot_iris_classifiers.py MISC don't use ``set_cmap`` 2012-05-05 20:43:21 +02:00
plot_kernel_approximation.py MISC don't use ``set_cmap`` 2012-05-05 20:43:21 +02:00
plot_lda_qda.py DOC lda/qda examples: remove redundant example, prettyfied other. 2012-03-04 17:22:46 +01:00
plot_multilabel.py Note regarding multilabel example. 2012-05-18 13:19:25 +09:00
plot_permutation_test_for_classification.py BUG: example plot compatibility with older matplotlib versions 2011-12-20 02:03:41 -08:00
plot_pls.py DOC made the pls example plots so much prettier 2012-07-25 23:20:33 +01:00
plot_precision_recall.py DOC docs and examples have scale_C removed 2012-05-05 21:57:04 +02:00
plot_rfe_digits.py COSMIT: rfe examples 2011-12-19 13:27:35 +01:00
plot_rfe_with_cross_validation.py COSMIT + MISC pep8, pyflakes, typos and some other cleanup of examples. 2012-04-29 23:13:06 +02:00
plot_roc.py Move project directory from scikits.learn to sklearn 2011-09-02 12:06:57 +02:00
plot_roc_crossval.py ENH set n_fold default to 3, rename k to n_fold in all doctests, docs, and examples 2012-10-10 19:10:29 +01:00
plot_train_error_vs_test_error.py peping8 examples 2011-12-19 18:16:51 +01:00

README.txt 

.. _general_examples:

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

General-purpose and introductory examples for the scikit.