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12.1. Array API support (experimental) — scikit...
1.1.1. PyTorch Support # PyTorch Tensors...Thomas Fan at PyData NYC 2023. 12.1.1. Example usage # Here is an example...scikit-learn.org/stable/modules/array_api.html -
5.1. Partial Dependence and Individual Conditio...
1.1. Partial dependence plots # Partial..., learning_rate = 1.0 , ... max_depth = 1 , random_state = 0...scikit-learn.org/stable/modules/partial_dependence.html -
type_of_target — scikit-learn 1.7.0 documentation
1 , 0.6 ]) 'continuous' >>> type_of_target ([ 1 , - 1 , -...type_of_target ( np . array ([[ 0 , 1 ], [ 1 , 1 ]])) 'multilabel-indicator'...scikit-learn.org/stable/modules/generated/sklearn.utils.multiclass.type_of_target.html -
Version 0.22 — scikit-learn 1.7.0 documentation
is given for both n_jobs=1 or n_jobs>1 both with shared memory...results between n_jobs=1 and n_jobs>1 due to the handling of...scikit-learn.org/stable/whats_new/v0.22.html -
Demo of DBSCAN clustering algorithm — scikit-le...
centers = [[ 1 , 1 ], [ - 1 , - 1 ], [ 1 , - 1 ]] X , labels_true...len ( set ( labels )) - ( 1 if - 1 in labels else 0 ) n_noise_...scikit-learn.org/stable/auto_examples/cluster/plot_dbscan.html -
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 1.7.0 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 -
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 -
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