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Results 81 - 90 of 1,936 for = (0.08 sec)

  1. Comparison between grid search and successive h...

    } clf = SVC ( random_state = rng ) tic = time () gsh = HalvingGridSearchCV...ha = "center" , va = "center" , color = "w" , fontsize = 20 ,...
    scikit-learn.org/stable/auto_examples/model_selection/plot_successive_halving_heatmap.html
    Mon May 19 12:53:18 UTC 2025
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  2. Ability of Gaussian process regression (GPR) to...

    y = y_train , color = "black" , alpha = 0.4 , label = "Observations"...], y = y_train , color = "black" , alpha = 0.4 , label = "Observations"...
    scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpr_noisy.html
    Mon May 19 12:53:15 UTC 2025
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  3. Comparison of the K-Means and MiniBatchKMeans c...

    different += ( k_means_labels == k ) != ( mbk_means_labels == k ) identical...( left = 0.02 , right = 0.98 , bottom = 0.05 , top = 0.9 ) colors...
    scikit-learn.org/stable/auto_examples/cluster/plot_mini_batch_kmeans.html
    Mon May 19 12:53:15 UTC 2025
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  4. plot_multi_metric_evaluation.py

    """ ========== Demonstration of multi-metric evaluation on cross_val_score...cross_val_score and GridSearchCV ========== Multiple metric parameter...
    scikit-learn.org/stable/_downloads/dedbcc9464f3269f4f012f4bfc7d16da/plot_multi_metric_evaluation.py
    Thu May 15 16:33:50 UTC 2025
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  5. Common pitfalls in the interpretation of coeffi...

    data = coefs , orient = "h" , palette = "dark:k" , alpha = 0.5...data = coefs , orient = "h" , color = "cyan" , saturation = 0.5...
    scikit-learn.org/stable/auto_examples/inspection/plot_linear_model_coefficient_interpretation.html
    Mon May 19 12:53:15 UTC 2025
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  6. Class Likelihood Ratios to measure classificati...

    axs = plt . subplots ( nrows = 3 , ncols = 2 , figsize = ( 15...response_method = "predict" , alpha = 0.5 , ax = ax , ) scatter = disp ....
    scikit-learn.org/stable/auto_examples/model_selection/plot_likelihood_ratios.html
    Mon May 19 12:53:17 UTC 2025
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  7. Manifold learning on handwritten digits: Locall...

    axs = plt . subplots ( nrows = 10 , ncols = 10 , figsize = ( 6...X [ y == digit ] . T , marker = f "$ { digit } $" , s = 60 , color...
    scikit-learn.org/stable/auto_examples/manifold/plot_lle_digits.html
    Mon May 19 12:53:15 UTC 2025
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  8. Multiclass sparse logistic regression on 20newg...

    train_samples=4500, n_features=130107, n_classes=20 [model=One versus...max_iter = this_max_iter , random_state = 42 , ) if model == "ovr"...
    scikit-learn.org/stable/auto_examples/linear_model/plot_sparse_logistic_regression_20newsgroups.html
    Mon May 19 12:53:18 UTC 2025
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  9. CDL: Visualising the power of data with Canvas ...

    progress shape="gauge" label=true font={font family="'Open Sans',...sans-serif" size=24 align="center" color="#FFFFFF" weight="normal" underline=false...
    www.elastic.co/blog/cdl-visualising-the-power-of-data-with-canvas-and-elasticsearch
    Tue May 20 00:37:49 UTC 2025
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  10. Linear and Quadratic Discriminant Analysis with...

    y_right = X [ y == y_pred ], y [ y == y_pred ] X_wrong...[:, 1 ], c = y_right , s = 20 , cmap = cmap , alpha = 0.5 ) ax...
    scikit-learn.org/stable/auto_examples/classification/plot_lda_qda.html
    Mon May 19 12:53:15 UTC 2025
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