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User Guide — scikit-learn 1.8.0 documentation
Guide # 1. Supervised learning 1.1. Linear Models 1.1.1. Ordinary...Lasso 1.1.4. Multi-task Lasso 1.1.5. Elastic-Net 1.1.6. Multi-task...scikit-learn.org/stable/user_guide.html -
2.8. Density Estimation — scikit-learn 1.8.0 do...
([[ - 1 , - 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2...\(x_i; i=1, \cdots, N\) is given by: \[\rho_K(y) = \sum_{i=1}^{N}...scikit-learn.org/stable/modules/density.html -
4. Metadata Routing — scikit-learn 1.8.0 docume...
1.1. Weighted scoring and fitting...>>> param_grid = { "C" : [ 0.1 , 1 ]} >>> lr = LogisticRegression...scikit-learn.org/stable/metadata_routing.html -
SVM with custom kernel — scikit-learn 1.8.0 doc...
T (0 1) """ M = np . array ([[ 2 , 0 ], [ 0 , 1.0 ]]) return.... scatter ( X [:, 0 ], X [:, 1 ], c = Y , cmap = plt . cm . Paired...scikit-learn.org/stable/auto_examples/svm/plot_custom_kernel.html -
Demo of affinity propagation clustering algorit...
centers = [[ 1 , 1 ], [ - 1 , - 1 ], [ 1 , - 1 ]] X , labels_true...0 ]], [ cluster_center [ 1 ], x [ 1 ]], color = col [ "color"...scikit-learn.org/stable/auto_examples/cluster/plot_affinity_propagation.html -
Caching nearest neighbors — scikit-learn 1.8.0 ...
= True ) n_neighbors_list = [ 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 ,...fig , axes = plt . subplots ( 1 , 2 , figsize = ( 8 , 4 )) axes...scikit-learn.org/stable/auto_examples/neighbors/plot_caching_nearest_neighbors.html -
Demonstration of k-means assumptions — scikit-l...
axs [ 1 , 0 ] . set_title ( "Unequal Variance" ) axs [ 1 , 1 ] ....X_filtered [:, 1 ], c = y_filtered ) axs [ 1 , 1 ] . set_title...scikit-learn.org/stable/auto_examples/cluster/plot_kmeans_assumptions.html -
Image denoising using dictionary learning — sci...
raccoon_face [ 1 :: 4 , :: 4 ] + raccoon_face [:: 4 , 1 :: 4 ] + raccoon_face...raccoon_face [ 1 :: 4 , 1 :: 4 ] ) raccoon_face /= 4.0 height...scikit-learn.org/stable/auto_examples/decomposition/plot_image_denoising.html -
Displaying estimators and complex pipelines — s...
l1_ratio = 1 ) print ( lr ) LogisticRegression(l1_ratio=1) Rich HTML..... versionadded:: 1.0 .. versionchanged:: 1.6 `verbose_feature_names_out`...scikit-learn.org/stable/auto_examples/miscellaneous/plot_estimator_representation.html -
Selecting dimensionality reduction with Pipelin...
n_jobs=1, param_grid=[{'classify__C': [1, 10, 100, 1000],...`n_jobs` default changed from 1 to None 1 refit refit: bool, str, or...scikit-learn.org/stable/auto_examples/compose/plot_compare_reduction.html