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  1. v_measure_score — scikit-learn 1.6.1 documentation

    1 , 1 ], [ 0 , 0 , 1 , 1 ]) np.float64(1.0) >>> v_measure_score...([ 0 , 0 , 1 , 1 ], [ 1 , 1 , 0 , 0 ]) np.float64(1.0) Labelings...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.v_measure_score.html
    Sat Apr 19 00:31:22 UTC 2025
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  2. Biclustering documents with the Spectral Co-clu...

    Done in 1.20s. V-measure: 0.4415 MiniBatchKMeans......alphalpha, proline, benson bicluster 1 : 1948 documents, 4325 words categories...
    scikit-learn.org/stable/auto_examples/bicluster/plot_bicluster_newsgroups.html
    Sat Apr 19 00:31:22 UTC 2025
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  3. Curve Fitting with Bayesian Ridge Regression — ...

    values (alpha_init = 1.90, lambda_init = 1.), the bias of the resulting...scale = 0.1 , size = size ) x_test = np . linspace ( 0.0 , 1.0 , 100...
    scikit-learn.org/stable/auto_examples/linear_model/plot_bayesian_ridge_curvefit.html
    Sat Apr 19 00:31:22 UTC 2025
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  4. dict_learning_online — scikit-learn 1.6.1 docum...

    * || U || _1 , 1 ( U , V ) with || V_k || _2 = 1 for all 0 <=...the Frobenius norm and ||.||_1,1 stands for the entry-wise matrix...
    scikit-learn.org/stable/modules/generated/sklearn.decomposition.dict_learning_online.html
    Sat Apr 19 00:31:22 UTC 2025
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  5. SGD: convex loss functions — scikit-learn 1.6.1...

    z >= - 1 ] = ( 1 - z [ z >= - 1 ]) ** 2 loss [ z >= 1.0 ] = 0...([ xmin , 0 , 0 , xmax ], [ 1 , 1 , 0 , 0 ], color = "gold" ,...
    scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_loss_functions.html
    Sat Apr 19 00:31:21 UTC 2025
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  6. Label Propagation learning a complex structure ...

    X [ labels == - 1 , 0 ], X [ labels == - 1 , 1 ], color = "darkorange"...circle), 1 (belonging to the inner circle), and -1 (unknown)....
    scikit-learn.org/stable/auto_examples/semi_supervised/plot_label_propagation_structure.html
    Sat Apr 19 00:31:22 UTC 2025
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  7. 7. Dataset loading utilities — scikit-learn 1.6...

    1. Toy datasets 7.1.1. Iris plants dataset 7.1.2. Diabetes...digits dataset 7.1.4. Linnerrud dataset 7.1.5. Wine recognition dataset...
    scikit-learn.org/stable/datasets.html
    Sat Apr 19 00:31:21 UTC 2025
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  8. Gaussian processes on discrete data structures ...

    array ([ 1.0 , 1.0 , 2.0 , 2.0 , 3.0 , 3.0 ])...( len ( X_train )), [ 1.0 if c else - 1.0 for c in Y_train ],...
    scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpr_on_structured_data.html
    Sat Apr 19 00:31:21 UTC 2025
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  9. 2.4. Biclustering — scikit-learn 1.6.1 document...

    array ([ 1 , 2 ]) >>> data [ rows , columns ] array([[ 1, 2], [21,...to find heavy subgraphs. 2.4.1.1. Mathematical formulation # An...
    scikit-learn.org/stable/modules/biclustering.html
    Sat Apr 19 00:31:21 UTC 2025
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  10. Plot randomly generated multilabel dataset — sc...

    1 ], color = COLORS . take (( Y * [ 1 , 2 , 4 ]) ...., n_labels = 1 ) ax1 . set_title ( "n_labels=1, length=50" )...
    scikit-learn.org/stable/auto_examples/datasets/plot_random_multilabel_dataset.html
    Sat Apr 19 00:31:21 UTC 2025
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