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Release Highlights for scikit-learn 1.4 — sciki...
noise = rng . normal ( loc = 0.0 , scale = 0.01 , size = n_samples...alpha = 0.5 , zorder =- 1 , label = "samples" , color = "tab:green"...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_4_0.html -
Probability Calibration curves — scikit-learn 1...
range = ( 0 , 1 ), bins = 10 , label = name , color = colors...range = ( 0 , 1 ), bins = 10 , label = name , color = colors...scikit-learn.org/stable/auto_examples/calibration/plot_calibration_curve.html -
Model Complexity Influence — scikit-learn 1.7.1...
return_X_y = True ) train_size = 0.8 elif case == "classification"...data.""" if case == "regression" : X , y = datasets . load_diabetes...scikit-learn.org/stable/auto_examples/applications/plot_model_complexity_influence.html -
Prediction Latency — scikit-learn 1.7.1 documen...
SGDRegressor(alpha=0.01, l1_ratio=0.25, penalty='elasticnet', tol=0.0001)...n_features = n_features , noise = noise , coef = True ) random_seed...scikit-learn.org/stable/auto_examples/applications/plot_prediction_latency.html -
Gaussian Mixture Model Sine Curve — scikit-lear...
any ( Y == i ): continue plt . scatter ( X [ Y == i , 0 ], X.... any ( Y == i ): continue plt . scatter ( X [ Y == i , 0 ], X...scikit-learn.org/stable/auto_examples/mixture/plot_gmm_sin.html -
Precision-Recall — scikit-learn 1.7.1 documenta...
) = plt . plot ( x [ y >= 0 ], y [ y >= 0 ], color = "gray"...name = "LinearSVC" , plot_chance_level = True , despine = True...scikit-learn.org/stable/auto_examples/model_selection/plot_precision_recall.html -
Compare BIRCH and MiniBatchKMeans — scikit-lear...
c = "w" , edgecolor = col , marker = "." , alpha = 0.5 )...max_no_improvement = 10 , verbose = 0 , random_state = 0 , ) t0 = time ()...scikit-learn.org/stable/auto_examples/cluster/plot_birch_vs_minibatchkmeans.html -
Compare cross decomposition methods — scikit-le...
PLSRegression n = 1000 q = 3 p = 10 X = np . random . normal ( size = n *...size = n ) l2 = np . random . normal ( size = n ) latents = np...scikit-learn.org/stable/auto_examples/cross_decomposition/plot_compare_cross_decomposition.html -
Gaussian Processes regression: basic introducto...
linspace ( start = 0 , stop = 10 , num = 1_000 ) . reshape ( - 1 ,..., y , label = r "$f(x) = x \sin(x)$" , linestyle = "dotted" )...scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpr_noisy_targets.html -
Hierarchical clustering: structured vs unstruct...
[ label == l , 0 ], X [ label == l , 1 ], X [ label == l , 2 ],...[ label == l , 0 ], X [ label == l , 1 ], X [ label == l , 2 ],...scikit-learn.org/stable/auto_examples/cluster/plot_ward_structured_vs_unstructured.html