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Guide de contribution
Architecture et structure du code Étape 2 : Trouver un problème Sur la page...sur l'écran de recherche 2. Exécuter la recherche 3. Vérifier...fess.codelibs.org/fr/dev/contributing.html -
Common pitfalls in the interpretation of coeffi...
534 534 unique NaN 2 2 NaN 2 NaN 3 6 3 2 top NaN no male NaN...36.833333 NaN NaN NaN NaN std 2.615373 NaN NaN 12.379710 NaN 11.726573...scikit-learn.org/stable/auto_examples/inspection/plot_linear_model_coefficient_interpretation.html -
TransformerMixin — scikit-learn 1.8.0 doc...
2 ], [ 2 , 3 ], [ 3 , 4 ]] >>>...scikit-learn.org/stable/modules/generated/sklearn.base.TransformerMixin.html -
Release Highlights for scikit-learn 1.3 —...
gamma ( shape = 2 , scale = np . exp ( X @ coef ) / 2 ) gbdt = HistGradientBoosting...] * 30 + [ 20.4 ] * 20 + [ 21.2 ] * 38 enc = TargetEncoder ( random_state...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_3_0.html -
MiniBatchKMeans — scikit-learn 1.8.0 docu...
[ 2 , 2 ], ... [ 3 , 2 ], [ 5 , 5 ], [ 1 ,...array ([[ 1 , 2 ], [ 1 , 4 ], [ 1 , 0 ], ... [ 4 , 2 ], [ 4 , 0...scikit-learn.org/stable/modules/generated/sklearn.cluster.MiniBatchKMeans.html -
plot_discretization_strategies.py
[2, 4], [8, 8]]) centers_1 = np.array([[0,...form(-3, 3, size=(n_samples, 2)), make_blobs( n_samples=[ n_samples...scikit-learn.org/stable/_downloads/43e84df0b93ff974da370e8da900f2ee/plot_discretization_strategie... -
Image denoising using kernel PCA — scikit...
(( X_test - X_test_noisy ) ** 2 ) : .2f } " ) Learn the PCA...X_test - X_reconstructed_pca ) ** 2 ) : .2f } " , ) plot_digits...scikit-learn.org/stable/auto_examples/applications/plot_digits_denoising.html -
cross_val_score — scikit-learn 1.8.0 docu...
pre_dispatch = '2*n_jobs' , error_score = nan )...pre_dispatch int or str, default=’2*n_jobs’ Controls the number of...scikit-learn.org/stable/modules/generated/sklearn.model_selection.cross_val_score.html -
cross_val_predict — scikit-learn 1.8.0 do...
pre_dispatch = '2*n_jobs' , method = 'predict' )...pre_dispatch int or str, default=’2*n_jobs’ Controls the number of...scikit-learn.org/stable/modules/generated/sklearn.model_selection.cross_val_predict.html -
plot_kmeans_digits.py
PCA` to project into a # 2-dimensional space and plot the...reduced_data = PCA(n_components=2).fit_transform(data) kmeans =...scikit-learn.org/stable/_downloads/5a87b25ba023ee709595b8d02049f021/plot_kmeans_digits.py