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  1. safe_sparse_dot — scikit-learn 1.5.2 documentation

    dense_output = False ) [source] # Dot product...matrix} dense_output bool, default=False When False, a and b both...
    scikit-learn.org/stable/modules/generated/sklearn.utils.extmath.safe_sparse_dot.html
    Thu Nov 21 22:17:08 UTC 2024
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  2. Column Transformer with Mixed Types — scikit-le...

    y = fetch_openml ( "titanic" , version = 1 , as_frame = True...attribute: # X = titanic.frame.drop('survived', axis=1) # y = titanic.frame['survived']...
    scikit-learn.org/stable/auto_examples/compose/plot_column_transformer_mixed_types.html
    Sat Nov 23 04:49:14 UTC 2024
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  3. Comparing random forests and the multi-output m...

    edgecolor = "k" , c = "navy" , s = s , marker = "s" , alpha = a , label...edgecolor = "k" , c = "c" , s = s , marker = "^" , alpha = a , label...
    scikit-learn.org/stable/auto_examples/ensemble/plot_random_forest_regression_multioutput.html
    Sat Nov 23 04:49:14 UTC 2024
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  4. Probability calibration of classifiers — scikit...

    ): this_X = X_train [ y_train == this_y ] this_sw = sw_train [...n_samples = n_samples , centers = centers , shuffle = False , random_state...
    scikit-learn.org/stable/auto_examples/calibration/plot_calibration.html
    Sat Nov 23 04:49:15 UTC 2024
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  5. DetCurveDisplay — scikit-learn 1.5.2 documentation

    sample_weight = None , pos_label = None , name = None , ax = None ,..., test_size = 0.4 , random_state = 0 ) >>> clf = SVC ( random_state...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.DetCurveDisplay.html
    Fri Nov 22 23:53:26 UTC 2024
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  6. Multilabel classification — scikit-learn 1.5.2 ...

    if transform == "pca" : X = PCA ( n_components = 2 ) . fit_transform...elif transform == "cca" : X = CCA ( n_components = 2 ) . fit ( X...
    scikit-learn.org/stable/auto_examples/miscellaneous/plot_multilabel.html
    Sat Nov 23 04:49:14 UTC 2024
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  7. Plot multi-class SGD on the iris dataset — scik...

    mean ( axis = 0 ) std = X . std ( axis = 0 ) X = ( X - mean ) /...dataset X = iris . data [:, : 2 ] y = iris . target colors = "bry"...
    scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_iris.html
    Sat Nov 23 04:49:16 UTC 2024
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  8. make_union — scikit-learn 1.5.2 documentation

    n_jobs = None , verbose = False ) [source] # Construct...estimators. n_jobs int, default=None Number of jobs to run in parallel....
    scikit-learn.org/stable/modules/generated/sklearn.pipeline.make_union.html
    Thu Nov 21 22:17:08 UTC 2024
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  9. Demonstration of k-means assumptions — scikit-l...

    ( X [ y == 0 ][: 500 ], X [ y == 1 ][: 100 ], X [ y == 2 ][: 10...axs = plt . subplots ( nrows = 2 , ncols = 2 , figsize = ( 12...
    scikit-learn.org/stable/auto_examples/cluster/plot_kmeans_assumptions.html
    Sat Nov 23 04:49:16 UTC 2024
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  10. Custom instrumentation | APM Go Agent Reference...

    defer func() { if v := recover(); v != nil { e := apm.DefaultTracer().Recovered()...available to the APM app. tx := apm.DefaultTracer().StartTransaction("GET...
    www.elastic.co/guide/en/apm/agent/go/current/custom-instrumentation.html
    Tue Aug 27 23:14:16 UTC 2024
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