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  1. all_estimators — scikit-learn 1.6.1 documentation

    >>> classifiers = all_estimators ( type_filter = "classifier" )...>>> regressors = all_estimators ( type_filter = "regressor" )...
    scikit-learn.org/stable/modules/generated/sklearn.utils.discovery.all_estimators.html
    Sat Apr 19 00:31:21 UTC 2025
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  2. cohen_kappa_score — scikit-learn 1.6.1 document...

    labels = None , weights = None , sample_weight = None ) [source]...problem. It is defined as \[\kappa = (p_o - p_e) / (1 - p_e)\] where...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.cohen_kappa_score.html
    Mon Apr 21 17:07:39 UTC 2025
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  3. GMM covariances — scikit-learn 1.6.1 documentation

    bottom = 0.01 , top = 0.95 , hspace = 0.15 , wspace = 0.05 ,...scatterpoints = 1 , loc = "lower right" , prop = dict ( size = 12 ))...
    scikit-learn.org/stable/auto_examples/mixture/plot_gmm_covariances.html
    Sat Apr 19 00:31:21 UTC 2025
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  4. Visualization of MLP weights on MNIST — scikit-...

    max_iter = 8 , alpha = 1e-4 , solver = "sgd" , verbose = 10 , random_state...return_X_y = True , as_frame = False ) X = X / 255.0 # Split data...
    scikit-learn.org/stable/auto_examples/neural_networks/plot_mnist_filters.html
    Sat Apr 19 00:31:22 UTC 2025
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  5. OneVsRestClassifier — scikit-learn 1.6.1 docume...

    n_jobs = None , verbose = 0 ) [source] # One-vs-the-rest...binary (0/1) matrix, where [i, j] == 1 indicates the presence of label...
    scikit-learn.org/stable/modules/generated/sklearn.multiclass.OneVsRestClassifier.html
    Sat Apr 19 00:31:20 UTC 2025
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  6. Version 0.20 — scikit-learn 1.6.1 documentation

    neighbors when metric=='jaccard' (bug fix) use of 'seuclidean'...ionCV with solver='lbfgs' and multi_class='multinomial' may be...
    scikit-learn.org/stable/whats_new/v0.20.html
    Sat Apr 19 00:31:22 UTC 2025
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  7. Support Vector Regression (SVR) using linear an...

    # svr_rbf = SVR ( kernel = "rbf" , C = 100 , gamma = 0.1 , epsilon...epsilon = 0.1 ) svr_lin = SVR ( kernel = "linear" , C = 100 , gamma...
    scikit-learn.org/stable/auto_examples/svm/plot_svm_regression.html
    Sat Apr 19 00:31:22 UTC 2025
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  8. check_X_y — scikit-learn 1.6.1 documentation

    accept_sparse = False , * , accept_large_sparse = True , dtype = 'numeric'...'numeric' , order = None , copy = False , force_writeable = False , force_all_finite...
    scikit-learn.org/stable/modules/generated/sklearn.utils.check_X_y.html
    Sat Apr 19 00:31:22 UTC 2025
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  9. Probability Calibration for 3-class classificat...

    y = make_blobs ( n_samples = 2000 , n_features = 2 , centers...centers = 3 , random_state = 42 , cluster_std = 5.0 ) X_train ,...
    scikit-learn.org/stable/auto_examples/calibration/plot_calibration_multiclass.html
    Sat Apr 19 00:31:21 UTC 2025
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  10. 7.4. Loading other datasets — scikit-learn 1.6....

    mice = fetch_openml ( name = 'miceprotein' , version = 4 ) To...iris_version_3 = fetch_openml ( name = "iris" , version = 3 ) >>> iris_version_3...
    scikit-learn.org/stable/datasets/loading_other_datasets.html
    Sat Apr 19 00:31:22 UTC 2025
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