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  1. safe_mask — scikit-learn 1.5.2 documentation

    csr_matrix >>> data = csr_matrix ([[ 1 ], [ 2 ], [ 3 ], [ 4 ], [ 5 ]])...
    scikit-learn.org/stable/modules/generated/sklearn.utils.safe_mask.html
    Fri Nov 01 07:27:38 UTC 2024
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  2. Column Transformer with Heterogeneous Data Sour...

    fetch_20newsgroups ( random_state = 1 , subset = "train" , categories...fetch_20newsgroups ( random_state = 1 , subset = "test" , categories...
    scikit-learn.org/stable/auto_examples/compose/plot_column_transformer.html
    Fri Nov 01 07:27:41 UTC 2024
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  3. Selecting the number of clusters with silhouett...

    from -1, 1 but in this example all # lie within [-0.1, 1] ax1...set_xlim ([ - 0.1 , 1 ]) # The (n_clusters+1)*10 is for inserting...
    scikit-learn.org/stable/auto_examples/cluster/plot_kmeans_silhouette_analysis.html
    Fri Nov 01 07:27:40 UTC 2024
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  4. Features in Histogram Gradient Boosting Trees —...

    "nswdemand" : 1 , "nswprice" : 1 , "vicdemand" : - 1 , "vicprice"...Normalized between 0 and 1; day: day of week (1-7); period: half hour...
    scikit-learn.org/stable/auto_examples/ensemble/plot_hgbt_regression.html
    Fri Nov 01 07:27:39 UTC 2024
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  5. d2_absolute_error_score — scikit-learn 1.5.2 do...

    1 ], [ - 1 , 1 ], [ 7 , - 6 ]] >>> y_pred...User Guide . Added in version 1.1. Parameters : y_true array-like...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.d2_absolute_error_score.html
    Fri Nov 01 07:27:39 UTC 2024
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  6. Comparison of the K-Means and MiniBatchKMeans c...

    centers = [[ 1 , 1 ], [ - 1 , - 1 ], [ 1 , - 1 ]] n_clusters...ax = fig . add_subplot ( 1 , 3 , 1 ) for k , col in zip ( range...
    scikit-learn.org/stable/auto_examples/cluster/plot_mini_batch_kmeans.html
    Fri Nov 01 07:27:40 UTC 2024
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  7. Train error vs Test error — scikit-learn 1.5.2 ...

    1 , 1 ) plt . semilogx ( alphas ,...50 , shuffle = False , noise = 1.0 , coef = True , ) X_train ,...
    scikit-learn.org/stable/auto_examples/model_selection/plot_train_error_vs_test_error.html
    Fri Nov 01 07:27:39 UTC 2024
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  8. 6.4. Imputation of missing values — scikit-lear...

    array ([[ - 1 , - 1 , 1 , 3 ], ... [ 4 , - 1 , 0 , - 1 ], ... [...= sp . csc_matrix ([[ 1 , 2 ], [ 0 , - 1 ], [ 8 , 4 ]]) >>> imp...
    scikit-learn.org/stable/modules/impute.html
    Fri Nov 01 07:27:40 UTC 2024
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  9. type_of_target — scikit-learn 1.5.2 documentation

    1 , 0.6 ]) 'continuous' >>> type_of_target ([ 1 , - 1 , -...type_of_target ( np . array ([[ 0 , 1 ], [ 1 , 1 ]])) 'multilabel-indicator'...
    scikit-learn.org/stable/modules/generated/sklearn.utils.multiclass.type_of_target.html
    Wed Oct 30 20:01:21 UTC 2024
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  10. Nearest Centroid Classification — scikit-learn ...

    1 ], c = y , cmap = cmap_bold ,...
    scikit-learn.org/stable/auto_examples/neighbors/plot_nearest_centroid.html
    Fri Nov 01 07:27:40 UTC 2024
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