- Sort Score
- Result 10 results
- Languages All
- Labels All
Results 31 - 40 of 185 for d (0.05 sec)
-
1.8. Cross decomposition — scikit-learn 1.4.2 d...
\(X \in \mathbb{R}^{n \times d}\) and \(Y \in \mathbb{R}^{n \times...compute \(u_k \in \mathbb{R}^d\) and \(v_k \in \mathbb{R}^t\)...scikit-learn.org/stable/modules/cross_decomposition.html -
sklearn.cluster.HDBSCAN — scikit-learn 1.4.2 do...
D., & Sander, J. Density-based clustering...2 ] Campello, R. J., Moulavi, D., Zimek, A., & Sander, J. Hierarchical...scikit-learn.org/stable/modules/generated/sklearn.cluster.HDBSCAN.html -
Putting it all together — scikit-learn 1.4.2 do...
"n_samples: %d " % n_samples ) print ( "n_features: %d " % n_features..."Extracting the top %d eigenfaces from %d faces" % ( n_components...scikit-learn.org/stable/tutorial/statistical_inference/putting_together.html -
sklearn.gaussian_process.kernels.RationalQuadra...
x_j) = \left( 1 + \frac{d(x_i, x_j)^2 }{ 2\alpha l^2}\right)^{-\alpha}\]...length scale of the kernel and \(d(\cdot,\cdot)\) is the Euclidean...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.RationalQuadratic.html -
sklearn.manifold.Isomap — scikit-learn 1.4.2 do...
frobenius_norm[K(D) - K(D_fit)] / n_samples Where D is the matrix...isomap kernel: K(D) = -0.5 * (I - 1/n_samples) * D^2 * (I - 1/n_samples)...scikit-learn.org/stable/modules/generated/sklearn.manifold.Isomap.html -
sklearn.metrics.pairwise_distances — scikit-lea...
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 -
4.2. Permutation feature importance — scikit-le...
dataset (training or validation) \(D\) . Compute the reference score...of the model \(m\) on data \(D\) (for instance the accuracy for...scikit-learn.org/stable/modules/permutation_importance.html -
1.2. Linear and Quadratic Discriminant Analysis...
training sample \(x \in \mathcal{R}^d\) : \[P(y=k | x) = \frac{P(x |...\[P(x | y=k) = \frac{1}{(2\pi)^{d/2} |\Sigma_k|^{1/2}}\exp\left(-\frac{1}{2}...scikit-learn.org/stable/modules/lda_qda.html -
sklearn.gaussian_process.kernels.DotProduct — s...
scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.DotProduct.html -
Docker — Elastic Search Labs
www.elastic.co/search-labs/tutorials/install-elasticsearch/docker