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  1. sparse_encode — scikit-learn 1.7.2 documentation

    2 ], ... [ 1 , 1 , 1 ], ... [ 0 , 1 , 1 ], ... [ 0 , 2 , 1...
    scikit-learn.org/stable/modules/generated/sklearn.decomposition.sparse_encode.html
    Wed Sep 24 16:15:26 UTC 2025
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  2. scale — scikit-learn 1.7.2 documentation

    import scale >>> X = [[ - 2 , 1 , 2 ], [ - 1 , 0 , 1 ]] >>> scale...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.scale.html
    Wed Sep 24 16:15:26 UTC 2025
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  3. 7.5. Unsupervised dimensionality reduction — sc...

    2. Random projections # The module:...
    scikit-learn.org/stable/modules/unsupervised_reduction.html
    Tue Sep 23 15:14:21 UTC 2025
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  4. 9.1. Strategies to scale computationally: bigge...

    2. Extracting features # 2. could be any relevant...
    scikit-learn.org/stable/computing/scaling_strategies.html
    Tue Sep 23 15:14:23 UTC 2025
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  5. OneClassSVM — scikit-learn 1.7.2 documentation

    2.0547, 2.0556, 2.0561, 1.7332]) For a more...
    scikit-learn.org/stable/modules/generated/sklearn.svm.OneClassSVM.html
    Wed Sep 24 16:15:26 UTC 2025
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  6. 3.3. Tuning the decision threshold for class pr...

    DecisionTreeClassifi ( max_depth = 2 , random_state = 0 ) . fit ( X...best_score_ np.float64(0.86) 3.3.1.2. Important notes regarding the...
    scikit-learn.org/stable/modules/classification_threshold.html
    Wed Sep 24 16:15:24 UTC 2025
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  7. Map data to a normal distribution — scikit-lear...

    figaspect ( 2 )) axes = axes . flatten () axes_idxs..., 9 ), ( 1 , 4 , 7 , 10 ), ( 2 , 5 , 8 , 11 ), ( 12 , 15 , 18...
    scikit-learn.org/stable/auto_examples/preprocessing/plot_map_data_to_normal.html
    Wed Sep 24 16:15:25 UTC 2025
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  8. SelectorMixin — scikit-learn 1.7.2 documentation

    mask [: 2 ] = True # select the first two...fit_transform ( X , y ) . shape (150, 2) fit_transform ( X , y = None...
    scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectorMixin.html
    Wed Sep 24 16:15:24 UTC 2025
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  9. Density Estimation for a Gaussian mixture — sci...

    2 ) + np . array ([ 20 , 20 ]) #...random . randn ( n_samples , 2 ), C ) # concatenate the two datasets...
    scikit-learn.org/stable/auto_examples/mixture/plot_gmm_pdf.html
    Wed Sep 24 16:15:25 UTC 2025
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  10. sort_graph_by_row_values — scikit-learn 1.7.2 d...

    2. ], ... [ 1. , 2. , 0. ]]) >>> X . data...data array([3., 1., 3., 2., 1., 2.]) >>> X_ = sort_graph_by_row_values...
    scikit-learn.org/stable/modules/generated/sklearn.neighbors.sort_graph_by_row_values.html
    Wed Sep 24 16:15:24 UTC 2025
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