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  1. Product — scikit-learn 1.5.2 documentation

    takes two kernels \(k_1\) and \(k_2\) and combines them via \[k_{prod}(X,...\[k_{prod}(X, Y) = k_1(X, Y) * k_2(X, Y)\] Note that the __mul__ magic...
    scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.Product.html
    Wed Sep 18 20:56:26 UTC 2024
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  2. trustworthiness — scikit-learn 1.5.2 documentation

    defined as \[T(k) = 1 - \frac{2}{nk (2n - 3k - 1)} \sum^n_{i=1}...Should be fewer than n_samples / 2 to ensure the trustworthiness...
    scikit-learn.org/stable/modules/generated/sklearn.manifold.trustworthiness.html
    Wed Sep 18 20:56:25 UTC 2024
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  3. estimate_bandwidth — scikit-learn 1.5.2 documen...

    [ 2 , 1 ], [ 1 , 0 ], ... [ 4 , 7...
    scikit-learn.org/stable/modules/generated/sklearn.cluster.estimate_bandwidth.html
    Wed Sep 18 20:56:23 UTC 2024
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  4. cluster_optics_dbscan — scikit-learn 1.5.2 docu...

    2 ], [ 2 , 5 ], [ 3 , 6 ], ... [ 8... ( ... X , ... min_samples = 2 , ... max_eps = np . inf , ......
    scikit-learn.org/stable/modules/generated/sklearn.cluster.cluster_optics_dbscan.html
    Wed Sep 18 20:56:25 UTC 2024
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  5. chi2 — scikit-learn 1.5.2 documentation

    2 , 2 ]) >>> chi2_stats , p_values...[ 5 , 4 , 1 ], ... [ 6 , 6 , 2 ], ... [ 1 , 4 , 0 ], ... [ 0...
    scikit-learn.org/stable/modules/generated/sklearn.feature_selection.chi2.html
    Wed Sep 18 20:56:26 UTC 2024
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  6. 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/oas-function.html
    Wed Sep 18 20:56:23 UTC 2024
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  7. PredictionErrorDisplay — scikit-learn 1.5.2 doc...

    2 Release Highlights for scikit-learn 1.2 Combine predictors...Evaluation Guide . Added in version 1.2. Parameters : y_true ndarray of...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.PredictionErrorDisplay.html
    Wed Sep 18 20:56:23 UTC 2024
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  8. ConstantKernel — scikit-learn 1.5.2 documentation

    x_2) = constant\_value \;\forall\; x_1, x_2\] Adding a...constant_value = 2 ) is the same as: kernel = RBF () + 2 Read more in...
    scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.ConstantKernel.html
    Wed Sep 18 20:56:23 UTC 2024
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  9. DummyRegressor — scikit-learn 1.5.2 documentation

    2.0 , 3.0 , 4.0 ]) >>> y = np . array ([ 2.0 , 3.0 ,...determination R^2 of the prediction. The coefficient R^2 is defined...
    scikit-learn.org/stable/modules/generated/sklearn.dummy.DummyRegressor.html
    Wed Sep 18 20:56:26 UTC 2024
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  10. pairwise_distances — scikit-learn 1.5.2 documen...

    2.], [2., 1.]]) Gallery examples #...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise_distances.html
    Wed Sep 18 20:56:25 UTC 2024
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