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Demonstration of k-means assumptions — scikit-l...
( X [ y == 0 ][: 500 ], X [ y == 1 ][: 100 ], X [ y == 2 ][: 10...axs = plt . subplots ( nrows = 2 , ncols = 2 , figsize = ( 12...scikit-learn.org/stable/auto_examples/cluster/plot_kmeans_assumptions.html -
RocCurveDisplay — scikit-learn 1.5.2 documentation
pos_label = None , name = None , ax = None , plot_chance_level = False...roc_auc = None , estimator_name = None , pos_label = None ) [source]...scikit-learn.org/stable/modules/generated/sklearn.metrics.RocCurveDisplay.html -
index.rst.txt
_developers_guide: ========== Developer's Guide ========== .. toctree::...scikit-learn.org/dev/_sources/developers/index.rst.txt -
Plot class probabilities calculated by the Voti...
random_state = 123 ) clf2 = RandomForestClassifi ( n_estimators = 100..., random_state = 123 ) clf3 = GaussianNB () X = np . array ([[...scikit-learn.org/stable/auto_examples/ensemble/plot_voting_probas.html -
Plot multinomial and One-vs-Rest Logistic Regre...
random_state = 42 ) if multi_class == "ovr" : clf = OneVsRestClassifier...n_samples = 1000 , centers = centers , random_state = 40 ) transformation...scikit-learn.org/stable/auto_examples/linear_model/plot_logistic_multinomial.html -
Building a search app with Blazor and Elasticse...
query => query.Bool(b => b.Should(m => m.MultiMatch(mm => mm....occurred. <a href="" class="reload">Reload</a> <a class="dismiss">🗙</a>...www.elastic.co/search-labs/blog/search-app-with-esre-blazor -
Seeking global perspectives from the community ...
<div class="svg-sprite" id="svg-sprite-container" style="display:none"></div>...type="text/javascript"> !function() { var static_server = 'dh...metatalk.metafilter.com/26506/Seeking-global-perspectives-from-the-community -
RadiusNeighborsTransformer — scikit-learn 1.5.2...
leaf_size = 30 , metric = 'minkowski' , p = 2 , metric_params = None...* , mode = 'distance' , radius = 1.0 , algorithm = 'auto' , leaf_size...scikit-learn.org/stable/modules/generated/sklearn.neighbors.RadiusNeighborsTransformer.html -
non_negative_factorization — scikit-learn 1.5.2...
W = None , H = None , n_components = 'warn' , * , init = None...tol = 0.0001 , max_iter = 200 , alpha_W = 0.0 , alpha_H = 'same'...scikit-learn.org/stable/modules/generated/sklearn.decomposition.non_negative_factorization.html -
Permutation Importance with Multicollinear or C...
random_state = 42 , n_jobs = 2 ) perm_sorted_idx = result . importances_mean..., y = load_breast_cancer ( return_X_y = True , as_frame = True...scikit-learn.org/stable/auto_examples/inspection/plot_permutation_importance_multicollinear.html