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Feature agglomeration vs. univariate selection ...
n_samples = 200 size = 40 # image size roi_size = 15 snr = 5.0 np...sigma = 1.0 ) . ravel () X -= X . mean ( axis = 0 ) X /= X . std...scikit-learn.org/stable/auto_examples/cluster/plot_feature_agglomeration_vs_univariate_selection.... -
MiniBatchDictionaryLearning — scikit-learn 1.7....
n_components = None , * , alpha = 1 , max_iter = 1000 , fit_algorithm...fit_algorithm = 'lars' , n_jobs = None , batch_size = 256 , shuffle...scikit-learn.org/stable/modules/generated/sklearn.decomposition.MiniBatchDictionaryLearning.html -
Agglomerative clustering with different metrics...
lines = plt . plot ( X [ y == l ] . T , c = color , alpha = 0.5...i , j ] = pairwise_distances ( X [ y == i ], X [ y == j ], metric...scikit-learn.org/stable/auto_examples/cluster/plot_agglomerative_clustering_metrics.html -
plot_release_highlights_1_7_0.rst.txt
y: ========== Release Highlights for scikit-learn 1.7 ==========...========== .. currentmodule:: sklearn We are pleased to announce the...scikit-learn.org/stable/_sources/auto_examples/release_highlights/plot_release_highlights_1_7_0.r... -
Simple 1D Kernel Density Estimation — scikit-le...
if x == 0 : return "0" elif x == 1 : return "h" elif x == - 1...( left = 0.05 , right = 0.95 , hspace = 0.05 , wspace = 0.05 )...scikit-learn.org/stable/auto_examples/neighbors/plot_kde_1d.html -
Compressive sensing: tomography reconstruction ...
hspace = 0.01 , wspace = 0.01 , top = 1 , bottom = 0 , left = 0 ,...x , dx = 1 , orig = 0 ): x = np . ravel ( x ) floor_x = np . floor...scikit-learn.org/stable/auto_examples/applications/plot_tomography_l1_reconstruction.html -
auto_examples_jupyter.zip
pace=0.01, wspace=0.01, top=1, bottom=0, left=0, right=1)\n\nplt.show()"...plt.subplots_adjust(bottom=0, left=0.01, right=0.99, top=0.90, hspace=0.35)\n for...scikit-learn.org/stable/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip -
plot_release_highlights_1_7_0.py
""" ========== Release Highlights for scikit-learn 1.7 ==========...========== .. currentmodule:: sklearn We are pleased to announce the...scikit-learn.org/stable/_downloads/27dd4dbb41dee53fc86e0d5b6d3254d3/plot_release_highlights_1_7_0.py -
Balance model complexity and cross-validated sc...
random_state = 42 , C = 0.01 , max_iter = 1000 )), ] ) param_grid = { ...GridSearchCV(cv=ShuffleSplit(n_splits=30, random_state=0, test_size=None,...scikit-learn.org/stable/auto_examples/model_selection/plot_grid_search_refit_callable.html -
LearningCurveDisplay — scikit-learn 1.7.1 docum...
error_score = nan , fit_params = None , ax = None , negate_score = False...>>> X , y = load_iris ( return_X_y = True ) >>> tree = DecisionTreeClassifi...scikit-learn.org/stable/modules/generated/sklearn.model_selection.LearningCurveDisplay.html