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  1. ShuffleSplit — scikit-learn 1.5.0 documentation

    ShuffleSplit(n_splits=5, random_state=0, test_size=0.25, train_size=None) >>>...n_splits = 10 , * , test_size = None , train_size = None , random_state...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.ShuffleSplit.html
    Fri May 31 14:06:07 UTC 2024
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  2. Compressive sensing: tomography reconstruction ...

    hspace = 0.01 , wspace = 0.01 , top = 1 , bottom = 0 , left = 0 ,...x , dx = 1 , orig = 0 ): x = np . ravel ( x ) floor_x = np . floor...
    scikit-learn.org/stable/auto_examples/applications/plot_tomography_l1_reconstruction.html
    Fri May 31 14:06:06 UTC 2024
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  3. Simple 1D Kernel Density Estimation — scikit-le...

    if x == 0 : return "0" elif x == 1 : return "h" elif x == - 1...( left = 0.05 , right = 0.95 , hspace = 0.05 , wspace = 0.05 )...
    scikit-learn.org/stable/auto_examples/neighbors/plot_kde_1d.html
    Fri May 31 14:06:06 UTC 2024
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  4. MiniBatchDictionaryLearning — scikit-learn 1.5....

    n_components = None , * , alpha = 1 , max_iter = 1000 , fit_algorithm...fit_algorithm = 'lars' , n_jobs = None , batch_size = 256 , shuffle...
    scikit-learn.org/stable/modules/generated/sklearn.decomposition.MiniBatchDictionaryLearning.html
    Fri May 31 14:06:07 UTC 2024
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  5. TimeSeriesSplit — scikit-learn 1.5.0 documentation

    TimeSeriesSplit(gap=0, max_train_size=None, n_splits=5, test_size=None) >>>...n_splits = 5 , * , max_train_size = None , test_size = None , gap...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.TimeSeriesSplit.html
    Fri May 31 14:06:07 UTC 2024
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  6. Agglomerative clustering with different metrics...

    lines = plt . plot ( X [ y == l ] . T , c = color , alpha = 0.5...i , j ] = pairwise_distances ( X [ y == i ], X [ y == j ], metric...
    scikit-learn.org/stable/auto_examples/cluster/plot_agglomerative_clustering_metrics.html
    Fri May 31 14:06:06 UTC 2024
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  7. LearningCurveDisplay — scikit-learn 1.5.0 docum...

    error_score = nan , fit_params = None , ax = None , negate_score = False...>>> X , y = load_iris ( return_X_y = True ) >>> tree = DecisionTreeClassifi...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.LearningCurveDisplay.html
    Fri May 31 14:06:06 UTC 2024
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  8. Feature agglomeration vs. univariate selection ...

    n_samples = 200 size = 40 # image size roi_size = 15 snr = 5.0 np...sigma = 1.0 ) . ravel () X -= X . mean ( axis = 0 ) X /= X . std...
    scikit-learn.org/stable/auto_examples/cluster/plot_feature_agglomeration_vs_univariate_selection....
    Fri May 31 14:06:06 UTC 2024
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  9. L1 Penalty and Sparsity in Logistic Regression ...

    clf_l1_LR = LogisticRegression ( C = C , penalty = "l1" , tol = 0.01...penalty = "l2" , tol = 0.01 , solver = "saga" ) clf_en_LR = LogisticRegression...
    scikit-learn.org/stable/auto_examples/linear_model/plot_logistic_l1_l2_sparsity.html
    Fri May 31 14:06:06 UTC 2024
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  10. Principal Component Regression vs Partial Least...

    mean = [ 0 , 0 ], cov = cov , size = n_samples ) pca = PCA ( n_components...label = f "Component { i } " , linewidth = 5 , color = f "C {...
    scikit-learn.org/stable/auto_examples/cross_decomposition/plot_pcr_vs_pls.html
    Fri May 31 14:06:06 UTC 2024
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