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  1. smacof — scikit-learn 1.7.0 documentation

    metric = True , n_components = 2 , init = None , n_init = 'warn'...n_jobs = None , max_iter = 300 , verbose = 0 , eps = 1e-06 ,...
    scikit-learn.org/stable/modules/generated/sklearn.manifold.smacof.html
    Thu Jul 03 11:42:05 UTC 2025
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  2. Better Binary Quantization (BBQ) in Lucene and ...

    max_{v_{c1}'}=max(v_{c1}')=0.19,min_{v_{c1}'}=min(v_{c1}')=-0.38 \newline...v c 1 ′ = m a x ( v c 1 ′ ) = 0.19 , m i n v c 1 ′ = m i n (...
    www.elastic.co/search-labs/blog/better-binary-quantization-lucene-elasticsearch
    Sun Jul 06 00:44:54 UTC 2025
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  3. make_multilabel_classification — scikit-learn 1...

    n_labels = 2 , length = 50 , allow_unlabeled = True , sparse = False...n_samples = 100 , n_features = 20 , * , n_classes = 5 , n_labels...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.make_multilabel_classification.html
    Thu Jul 03 11:42:06 UTC 2025
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  4. quantile_transform — scikit-learn 1.7.0 documen...

    ( loc = 0.5 , scale = 0.25 , size = ( 25 , 1 )), axis = 0 ) >>>..., axis = 0 , n_quantiles = 1000 , output_distribution = 'uniform'...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.quantile_transform.html
    Thu Jul 03 11:42:05 UTC 2025
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  5. 8.3. Generated datasets — scikit-learn 1.7.0 do...

    ax2 ) = plt . subplots ( nrows = 1 , ncols = 2 , figsize = ( 8...make_blobs X , y = make_blobs ( centers = 3 , cluster_std = 0.5 , random_state...
    scikit-learn.org/stable/datasets/sample_generators.html
    Thu Jul 03 11:42:06 UTC 2025
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  6. SGDOneClassSVM — scikit-learn 1.7.0 documentation

    nu = 0.5 , fit_intercept = True , max_iter = 1000 , tol = 0.001...0.001 , shuffle = True , verbose = 0 , random_state = None , learning_rate...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.SGDOneClassSVM.html
    Thu Jul 03 11:42:06 UTC 2025
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  7. radius_neighbors_graph — scikit-learn 1.7.0 doc...

    mode = 'connectivity' , metric = 'minkowski' , p = 2 , metric_params...metric_params = None , include_self = False , n_jobs = None ) [source]...
    scikit-learn.org/stable/modules/generated/sklearn.neighbors.radius_neighbors_graph.html
    Thu Jul 03 11:42:05 UTC 2025
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  8. BaggingRegressor — scikit-learn 1.7.0 documenta...

    n_informative = 2 , n_targets = 1 , ... random_state = 0 , shuffle = False...estimator = None , n_estimators = 10 , * , max_samples = 1.0 , max_features...
    scikit-learn.org/stable/modules/generated/sklearn.ensemble.BaggingRegressor.html
    Thu Jul 03 11:42:05 UTC 2025
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  9. 3.2. Tuning the hyper-parameters of an estimato...

    6 * 2 = 12 35 // 2 = 17 12 * 2 = 24 17 // 2 = 8 24 * 2 = 48 8...3 (=min_resources) 70 (=n_candidates) 3 * 2 = 6 70 // 2 = 35...
    scikit-learn.org/stable/modules/grid_search.html
    Thu Jul 03 11:42:05 UTC 2025
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  10. kneighbors_graph — scikit-learn 1.7.0 documenta...

    mode = 'connectivity' , metric = 'minkowski' , p = 2 , metric_params...metric_params = None , include_self = False , n_jobs = None ) [source]...
    scikit-learn.org/stable/modules/generated/sklearn.neighbors.kneighbors_graph.html
    Thu Jul 03 11:42:05 UTC 2025
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