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Results 41 - 50 of 417 for c (0.04 sec)

  1. 4.1. Partial Dependence and Individual Conditio...

    \mathbb{E}_{X_C}\left[ f(x_S, X_C) \right]\\ &= \int f(x_S, x_C) p(x_C)...p(x_C) dx_C,\end{split}\] where \(f(x_S, x_C)\) is the response function...
    scikit-learn.org/stable/modules/partial_dependence.html
    Sun May 19 20:00:39 UTC 2024
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  2. sklearn.neighbors.NearestCentroid — scikit-lear...

    The predicted class C for each sample in X is returned....n_features) Test samples. Returns : C ndarray of shape (n_samples,)...
    scikit-learn.org/stable/modules/generated/sklearn.neighbors.NearestCentroid.html
    Sun May 19 20:00:39 UTC 2024
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  3. sklearn.decomposition.IncrementalPCA — scikit-l...

    Recognition and Machine Learning” by C. Bishop, 12.2.1 p. 574 or htt...Computations, Third Edition, G. Holub and C. Van Loan, Chapter 5, section...
    scikit-learn.org/stable/modules/generated/sklearn.decomposition.IncrementalPCA.html
    Sun May 19 20:00:39 UTC 2024
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  4. sklearn.utils.Bunch — scikit-learn 1.4.2 docume...

    c = 6 >>> b [ 'c' ] 6 Methods clear ()...
    scikit-learn.org/stable/modules/generated/sklearn.utils.Bunch.html
    Sun May 19 20:00:39 UTC 2024
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  5. sklearn.linear_model.LogisticRegression — sciki...

    C = 1.0 , fit_intercept = True ,...both dense and sparse input. Use C-ordered arrays or CSR matrices...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html
    Sun May 19 20:00:39 UTC 2024
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  6. sklearn.inspection.DecisionBoundaryDisplay — sc...

    c = iris . target , edgecolor =...scatter ( X [:, 0 ], X [:, 1 ], c = iris . target , edgecolor =...
    scikit-learn.org/stable/modules/generated/sklearn.inspection.DecisionBoundaryDisplay.html
    Sun May 19 20:00:39 UTC 2024
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  7. 1.3. Kernel ridge regression — scikit-learn 1.4...

    parameters \(\epsilon\) and \(C\) of the SVR ; \(\epsilon = 0\)...
    scikit-learn.org/stable/modules/kernel_ridge.html
    Sun May 19 20:00:39 UTC 2024
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  8. 2.4. Biclustering — scikit-learn 1.4.2 document...

    as follows: \[A_n = R^{-1/2} A C^{-1/2}\] Where \(R\) is the diagonal...to \(\sum_{j} A_{ij}\) and \(C\) is the diagonal matrix with...
    scikit-learn.org/stable/modules/biclustering.html
    Sun May 19 20:00:39 UTC 2024
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  9. sklearn.model_selection.permutation_test_score ...

    calculated as: (C + 1) / (n_permutations + 1) Where C is the number...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.permutation_test_score.html
    Sun May 19 20:00:39 UTC 2024
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  10. sklearn.cluster.BisectingKMeans — scikit-learn ...

    that if the original data is not C-contiguous, a copy will be made...The data will be converted to C ordering, which will cause a memory...
    scikit-learn.org/stable/modules/generated/sklearn.cluster.BisectingKMeans.html
    Sun May 19 20:00:39 UTC 2024
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