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| .. | ||
| applications | ||
| cluster | ||
| covariance | ||
| decomposition | ||
| ensemble | ||
| gaussian_process | ||
| linear_model | ||
| manifold | ||
| mixture | ||
| neighbors | ||
| svm | ||
| tree | ||
| README.txt | ||
| document_classification_20newsgroups.py | ||
| document_clustering.py | ||
| feature_selection_pipeline.py | ||
| grid_search_digits.py | ||
| grid_search_text_feature_extraction.py | ||
| mlcomp_sparse_document_classification.py | ||
| plot_classification_probability.py | ||
| plot_confusion_matrix.py | ||
| plot_digits_classification.py | ||
| plot_feature_selection.py | ||
| plot_kernel_approximation.py | ||
| plot_lda_qda.py | ||
| plot_lda_vs_qda.py | ||
| plot_multilabel.py | ||
| plot_permutation_test_for_classification.py | ||
| plot_pls.py | ||
| plot_precision_recall.py | ||
| plot_random_dataset.py | ||
| plot_rfe_digits.py | ||
| plot_rfe_with_cross_validation.py | ||
| plot_roc.py | ||
| plot_roc_crossval.py | ||
| plot_train_error_vs_test_error.py | ||
README.txt
.. _general_examples: General examples ---------------- General-purpose and introductory examples for the scikit.