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Spectral clustering for image segmentation — sc...
[ 0 ]) ** 2 + ( y - center1 [ 1 ]) ** 2 < radius1 ** 2 circle2...[ 0 ]) ** 2 + ( y - center2 [ 1 ]) ** 2 < radius2 ** 2 circle3...scikit-learn.org/stable/auto_examples/cluster/plot_segmentation_toy.html -
SVM: Weighted samples — scikit-learn 1.7.2 docu...
n_clusters_per_class = 1 , class_sep = 1.1 , weights = [ 0.9 , 0.1 ], random_state...make_classification ( n_samples = 1_000 , n_features = 2 , n_informative...scikit-learn.org/stable/auto_examples/svm/plot_weighted_samples.html -
Plot the support vectors in LinearSVC — scikit-...
subplot ( 1 , 2 , i + 1 ) plt . scatter ( X [:, 0 ], X [:, 1 ], c...colors = "k" , levels = [ - 1 , 0 , 1 ], alpha = 0.5 , linestyles...scikit-learn.org/stable/auto_examples/svm/plot_linearsvc_support_vectors.html -
Comparison between grid search and successive h...
1e-1 , 1e-2 , 1e-3 , 1e-4 , 1e-5 , 1e-6 , 1e-7 ] Cs = [ 1 , 10...scikit-learn.org/stable/auto_examples/model_selection/plot_successive_halving_heatmap.html -
get_tags — scikit-learn 1.7.2 documentation
Added in version 1.6. Parameters : estimator estimator...scikit-learn.org/stable/modules/generated/sklearn.utils.get_tags.html -
Approximate nearest neighbors in TSNE — scikit-...
0 * perplexity + 1 ) + 1 tsne_params = dict ( init =...improved since scikit-learn 1.1. Furthermore, the brute-force...scikit-learn.org/stable/auto_examples/neighbors/approximate_nearest_neighbors.html -
Combine predictors using stacking — scikit-lear...
min_samples_leaf 1 min_weight_fraction_leaf 0.0 max_features 1.0 max_leaf_nodes...min_samples_leaf 1 min_weight_fraction_leaf 0.0 max_features 1.0 max_leaf_nodes...scikit-learn.org/stable/auto_examples/ensemble/plot_stack_predictors.html -
Underfitting vs. Overfitting — scikit-learn 1.7...
subplot ( 1 , len ( degrees ), i + 1 ) plt . setp ( ax...function (polynomial with degree 1) is not sufficient to fit the...scikit-learn.org/stable/auto_examples/model_selection/plot_underfitting_overfitting.html -
column_or_1d — scikit-learn 1.7.2 documentation
>>> column_or_1d ([ 1 , 1 ]) array([1, 1]) On this page This...type for y . Added in version 1.2. warn bool, default=False To...scikit-learn.org/stable/modules/generated/sklearn.utils.validation.column_or_1d.html -
safe_mask — scikit-learn 1.7.2 documentation
csr_matrix >>> data = csr_matrix ([[ 1 ], [ 2 ], [ 3 ], [ 4 ], [ 5 ]])...scikit-learn.org/stable/modules/generated/sklearn.utils.safe_mask.html