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  1. The Johnson-Lindenstrauss bound for embedding w...

    by: \[(1 - eps) \|u - v\|^2 < \|p(u) - p(v)\|^2 < (1 + eps)...matrix with size: 1.304 MB Mean distances rate: 1.02 (0.17) Projected...
    scikit-learn.org/stable/auto_examples/miscellaneous/plot_johnson_lindenstrauss_bound.html
    Mon Dec 15 15:02:33 GMT 2025
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  2. Plot randomly generated multilabel dataset &#82...

    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
    Mon Dec 15 15:02:33 GMT 2025
      96.8K bytes
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  3. A demo of the mean-shift clustering algorithm &...

    centers = [[ 1 , 1 ], [ - 1 , - 1 ], [ 1 , - 1 ]] X , _ = make_blobs...matplotlib.pyplot as plt plt . figure ( 1 ) plt . clf () colors = [ "#dede00"...
    scikit-learn.org/stable/auto_examples/cluster/plot_mean_shift.html
    Mon Dec 15 15:02:33 GMT 2025
      92.1K bytes
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  4. Class Likelihood Ratios to measure classificati...

    param to positive negative mean 1.0 1.0 std 0.0 0.0 The absence of...linspace ( 0.1 , 0.8 , 6 ) weights = weights [:: - 1 ] # fit and...
    scikit-learn.org/stable/auto_examples/model_selection/plot_likelihood_ratios.html
    Mon Dec 15 15:02:31 GMT 2025
      143.1K bytes
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  5. 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
    Mon Dec 15 15:02:31 GMT 2025
      97.9K bytes
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  6. precision_recall_curve — scikit-learn 1.8...

    y_true is in {-1, 1} or {0, 1}, pos_label is set to 1, otherwise...0.66666667, 0.5 , 1. , 1. ]) >>> recall array([1. , 1. , 0.5,...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.precision_recall_curve.html
    Mon Dec 15 15:02:30 GMT 2025
      116.3K bytes
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  7. make_friedman3 — scikit-learn 1.8.0 docum...

    1 ] <= 560 * pi , 0 <= X [:, 2 ] <= 1 , 1 <=...arctan (( X [:, 1 ] * X [:, 2 ] - 1 / ( X [:, 1 ] * X [:, 3 ]))...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.make_friedman3.html
    Mon Dec 15 15:02:30 GMT 2025
      110.9K bytes
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  8. Effect of varying threshold for self-training &...

    mean ( axis = 1 ), yerr = scores . std ( axis = 1 ), capsize =...( axis = 1 ), yerr = amount_labeled . std ( axis = 1 ), capsize...
    scikit-learn.org/stable/auto_examples/semi_supervised/plot_self_training_varying_threshold.html
    Mon Dec 15 15:02:30 GMT 2025
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  9. A demo of the Spectral Co-Clustering algorithm ...

    consensus score: 1.000 # Authors: The scikit-learn...permutation ( data . shape [ 1 ]) data = data [ row_idx ][:,...
    scikit-learn.org/stable/auto_examples/bicluster/plot_spectral_coclustering.html
    Mon Dec 15 15:02:33 GMT 2025
      92.8K bytes
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  10. PointcutAdvisor (Spring Framework 7.0.1 API)

    declaration: package: org.springframework.aop, interface: PointcutAdvisor
    docs.spring.io/spring-framework/docs/current/javadoc-api/org/springframework/aop/PointcutAdvisor....
    Fri Feb 01 00:00:00 GMT 1980
      12.2K bytes
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