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Results 31 - 40 of 283 for d (0.04 sec)
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sklearn.linear_model.GammaRegressor — scikit-le...
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 -
sklearn.linear_model.TweedieRegressor — scikit-...
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 -
sklearn.gaussian_process.kernels.ExpSineSquared...
\text{exp}\left(- \frac{ 2\sin^2(\pi d(x_i, x_j)/p) }{ l^ 2} \right)\]...periodicity of the kernel and \(d(\cdot,\cdot)\) is the Euclidean...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.ExpSineSquared.html -
6.7. Kernel Approximation — scikit-learn 1.4.2 ...
x^\top y +c_0)^d\] where: x , y are the input vectors d is the kernel...kernel of degree d consists of all possible degree- d products among...scikit-learn.org/stable/modules/kernel_approximation.html -
1.7. Gaussian Processes — scikit-learn 1.4.2 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 -
Statistical learning: the setting and the estim...
takes a dataset (usually a 2-d array): >>> estimator . fit (...scikit-learn.org/stable/tutorial/statistical_inference/settings.html -
sklearn.preprocessing.LabelBinarizer — scikit-l...
The 2-d matrix should only contain 0 and...n_classes) Target values. The 2-d matrix should only contain 0 and...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelBinarizer.html -
sklearn.gaussian_process.kernels.RBF — scikit-l...
x_j) = \exp\left(- \frac{d(x_i, x_j)^2}{2l^2} \right)\] where...length scale of the kernel and \(d(\cdot,\cdot)\) is the Euclidean...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.RBF.html -
sklearn.datasets.make_sparse_coded_signal — sci...
such that D is of shape (n_features, n_components)...default=False By default, Y, D and X are not transposed. New...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_sparse_coded_signal.html -
Accelerating Elastic detection tradecraft with ...
to share how our internal AI R&D efforts have increased the productivity...plans to pursue further LLM R&D and decided to tackle one of our...www.elastic.co/security-labs/accelerating-elastic-detection-tradecraft-with-llms