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Results 41 - 50 of 615 for d (2.03 sec)

  1. GammaRegressor — scikit-learn 1.7.2 documentation

    D^2 is defined as \(D^2 = 1-\frac{D(y_{true},y_{pred})}{D_{null}}\)...Compute D^2, the percentage of deviance explained. D^2 is a generalization...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.GammaRegressor.html
    Wed Sep 10 13:46:55 UTC 2025
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  2. TweedieRegressor — scikit-learn 1.7.2 documenta...

    D^2 is defined as \(D^2 = 1-\frac{D(y_{true},y_{pred})}{D_{null}}\)...Compute D^2, the percentage of deviance explained. D^2 is a generalization...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.TweedieRegressor.html
    Wed Sep 10 13:46:53 UTC 2025
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  3. Elastic Global Threat Report Infographic 2024 F...

    are ~70% of observed behaviors D:20240930110244-07'00' Adobe PDF...Adobe Illustrator 28.7 (Windows) D:20240930110410-07'00'...
    www.elastic.co/pdf/elastic-gtr-2024-adversary-actions
    Thu Sep 11 01:02:47 UTC 2025
      2M bytes
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  4. 1.7. Gaussian Processes — scikit-learn 1.7.2 do...

    coefficients of \(x_d (d = 1, . . . , D)\) and a prior of \(N(0,...\text{exp}\left(- \frac{d(x_i, x_j)^2}{2l^2} \right)\] where \(d(\cdot, \cdot)\)...
    scikit-learn.org/stable/modules/gaussian_process.html
    Wed Sep 10 13:46:55 UTC 2025
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  5. PoissonRegressor — scikit-learn 1.7.2 documenta...

    D^2 is defined as \(D^2 = 1-\frac{D(y_{true},y_{pred})}{D_{null}}\)...Compute D^2, the percentage of deviance explained. D^2 is a generalization...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.PoissonRegressor.html
    Wed Sep 10 13:46:55 UTC 2025
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  6. make_sparse_coded_signal — scikit-learn 1.7.2 d...

    D and X such that Y = XD where X...shape (n_samples, n_components) , D is of shape (n_components, n_features)...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.make_sparse_coded_signal.html
    Wed Sep 10 13:46:53 UTC 2025
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  7. DictVectorizer — scikit-learn 1.7.2 documentation

    DictVectorizer ( sparse = False ) >>> D = [{ 'foo' : 1 , 'bar' : 2 },...}] >>> X = v . fit_transform ( D ) >>> X array([[2., 0., 1.], [0.,...
    scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.DictVectorizer.html
    Wed Sep 10 13:46:55 UTC 2025
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  8. sphinx-design.min.css

    sd-d-none{display:none !important}.sd-d-inline{display:inline...!important}.sd-d-inline-block{display:inline-block !important}.sd-d-block{display:block...
    scikit-learn.org/stable/_static/sphinx-design.min.css
    Wed Sep 10 13:46:55 UTC 2025
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  9. elastic-gtr-2024-threat-trends

    These OSTs have large R&D teams to create new capabilities...rights reserved. 01 02 04 05 03 D:20240926122136+02'00' Adobe PDF...
    www.elastic.co/pdf/elastic-gtr-2024-threat-trends
    Thu Sep 11 01:02:36 UTC 2025
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  10. pairwise_distances — scikit-learn 1.7.2 documen...

    n_samples_Y) A distance matrix D such that D_{i, j} is the distance between...for usage examples. Returns : D ndarray of shape (n_samples_X,...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise_distances.html
    Wed Sep 10 13:46:55 UTC 2025
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