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  1. 2.3. Clustering — scikit-learn 1.5.2 documentation

    2 , 2 , 2 , 2 ] >>> metrics . adjusted_mutual_info_score...labels_pred = [ 1 , 1 , 0 , 0 , 2 , 2 , 2 , 2 ] >>> metrics . fowlkes_mallows_score...
    scikit-learn.org/stable/modules/clustering.html
    Sat Sep 14 09:04:07 UTC 2024
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  2. OAS — scikit-learn 1.5.2 documentation

    formula (23) states that 2/p (p being the number of features)...because for a large p, the value of 2/p is so small that it doesn’t...
    scikit-learn.org/stable/modules/generated/sklearn.covariance.OAS.html
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  3. 6.2. Feature extraction — scikit-learn 1.5.2 do...

    2.0986]}{\sqrt{\big(3^2 + 0^2 + 2.0986^2\big)}} = [...\frac{v}{||v||_2} = \frac{v}{\sqrt{v{_1}^2 + v{_2}^2 + \dots + v{_n}^2}}\)...
    scikit-learn.org/stable/modules/feature_extraction.html
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  4. kmeans_plusplus — scikit-learn 1.5.2 documentation

    2 ], [ 1 , 4 ], [ 1 , 0 ], ... [ 10 , 2 ], [ 10 , 4...n_clusters = 2 , random_state = 0 ) >>> centers array([[10, 2], [ 1,...
    scikit-learn.org/stable/modules/generated/sklearn.cluster.kmeans_plusplus.html
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  5. 2.8. Density Estimation — scikit-learn 1.5.2 do...

    [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2 , 1 ], [ 3...the distribution of points. 2.8.2. Kernel Density Estimation #...
    scikit-learn.org/stable/modules/density.html
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  6. Hyperparameter — scikit-learn 1.5.2 documentation

    bounds # Alias for field number 2 count ( value , / ) # Return number...
    scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.Hyperparameter.html
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  7. load_diabetes — scikit-learn 1.5.2 documentation

    2 < x < .2 Targets integer 25 - 346...scikit-learn 1.2 Release Highlights for scikit-learn 1.2 Gradient Boosting...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.load_diabetes.html
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  8. 1.17. Neural network models (supervised) — scik...

    \dfrac{\alpha}{2n} ||W||_2^2\] where \(\alpha ||W||_2^2\) is an L2-regularization...}_i - y_i ||_2^2 + \frac{\alpha}{2n} ||W||_2^2\] Starting from...
    scikit-learn.org/stable/modules/neural_networks_supervised.html
    Sat Sep 14 09:04:05 UTC 2024
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  9. accuracy_score — scikit-learn 1.5.2 documentation

    2 , 1 , 3 ] >>> y_true = [ 0 , 1 , 2 , 3 ] >>> accuracy_score...], [ 1 , 1 ]]), np . ones (( 2 , 2 ))) 0.5 Gallery examples # Plot...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.accuracy_score.html
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  10. make_gaussian_quantiles — scikit-learn 1.5.2 do...

    int64(2), np.int64(0), np.int64(1), np.int64(0), np.int64(2)] Gallery...n_samples = 100 , n_features = 2 , n_classes = 3 , shuffle = True...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.make_gaussian_quantiles.html
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