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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 -
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 -
decomposition.rst.txt
:math:`d \in D`, draw the topic proportions :math:`\theta_d \sim...definitions of :math:`d_{KL}` and :math:`d_{IS}` respectively....scikit-learn.org/stable/_sources/modules/decomposition.rst.txt -
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 -
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 -
The GOP expected Democrats to relent on the shu...
D., and Minority Leader Chuck Schumer, D-N.Y. Getty...John Fetterman, D-Pa.; Catherine Cortez Masto, D-Nev.; and Angus...www.nbcnews.com/politics/congress/republicans-expected-democrats-cave-shutdown-not-happening-rcna... -
タイトル
1 true false タイトル false false D:20140705010801 2014-07-05T01:13:13Z...コメント 0 true 1 33 true true true D:20140705010801 タグ true 2014-07-05T01:13:13Z...raw.githubusercontent.com/codelibs/fess-testdata/master/pdf/test.pdf -
DotProduct — scikit-learn 1.7.2 documentation
coefficients of \(x_d (d = 1, . . . , D)\) and a prior of \(N(0,...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.DotProduct.html -
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 -
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