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Results 511 - 520 of 1,005 for commute (0.45 sec)

  1. Writer Andrea Long Chu Breaks Down What Makes a...

    one that's trying to communicate actual ideas,’’ and trace...ultimately criticism is communicative. There are strong claims...
    www.culturedmag.com/article/2025/03/31/andrea-long-chu-writer-authority-interview
    Mon Apr 21 00:54:47 UTC 2025
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  2. faq.rst.txt

    requiring GPUs for efficient computing. However, neither of these.... However, the internal computations in scikit-learn estimators...
    scikit-learn.org/stable/_sources/faq.rst.txt
    Wed May 14 09:35:39 UTC 2025
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  3. roadmap.rst.txt

    Key changes include: * Computational tools: The exploitation...enables easy out-of-core computation. While the Dask model probably...
    scikit-learn.org/stable/_sources/roadmap.rst.txt
    Wed May 14 09:35:38 UTC 2025
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  4. How does Elastic Security drive value to your o...

    really connected with the community. But there will always be...really connected with the community. But there will always be...
    www.elastic.co/blog/how-elastic-security-drive-value-organization
    Thu May 15 00:54:07 UTC 2025
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  5. 1.16. Probability calibration — scikit-learn 1....

    calibration alone (unless one computes each term of the decomposition)....using ensemble=False is computational: it reduces the overall...
    scikit-learn.org/stable/modules/calibration.html
    Wed May 14 09:35:39 UTC 2025
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  6. BernoulliRBM — scikit-learn 1.6.1 documentation

    Neural Computation 18, pp 1527-1554. https:...score_samples ( X ) [source] # Compute the pseudo-likelihood of X....
    scikit-learn.org/stable/modules/generated/sklearn.neural_network.BernoulliRBM.html
    Wed May 14 09:35:37 UTC 2025
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  7. GaussianMixture — scikit-learn 1.6.1 documentation

    makes it more efficient to compute the log-likelihood of new samples...makes it more efficient to compute the log-likelihood of new samples...
    scikit-learn.org/stable/modules/generated/sklearn.mixture.GaussianMixture.html
    Tue May 13 14:25:44 UTC 2025
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  8. LassoLarsCV — scikit-learn 1.6.1 documentation

    points on the path used to compute the residuals in the cross-validation....machine-precision regularization in the computation of the Cholesky diagonal...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.LassoLarsCV.html
    Wed May 14 09:35:39 UTC 2025
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  9. r_regression — scikit-learn 1.6.1 documentation

    force_finite = True ) [source] # Compute Pearson’s r for each features...regressor and the target is computed as: E [( X [:, i ] - mean...
    scikit-learn.org/stable/modules/generated/sklearn.feature_selection.r_regression.html
    Wed May 14 09:35:38 UTC 2025
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  10. PassiveAggressiveRegressor — scikit-learn 1.6.1...

    computes the averaged SGD weights and...zero elements, which can be computed with (coef_ == 0).sum() ,...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.PassiveAggressiveRegressor.html
    Wed May 14 09:35:39 UTC 2025
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