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dict_learning_online — scikit-learn 1.8.0 docum...
V ^* ) = argmin 0.5 || X - U V || _Fro ^ 2 + alpha...alpha * || U || _1 , 1 ( U , V ) with || V_k || _2 = 1 for all...scikit-learn.org/stable/modules/generated/sklearn.decomposition.dict_learning_online.html -
pydata-sphinx-theme.js
v=i&&n(o,a,">");g||v?m.innerText="an unstable...e/i.test(e.key)&&v():(e.preventDefault(),v())}),!0),document...scikit-learn.org/stable/_static/scripts/pydata-sphinx-theme.js -
DistanceMetric — scikit-learn 1.8.0 documentation
SEuclideanDistance V sqrt(sum((x - y)^2 / V)) “mahalanobis” MahalanobisDistance...MahalanobisDistance V or VI sqrt((x - y)' V^-1 (x - y)) Metrics...scikit-learn.org/stable/modules/generated/sklearn.metrics.DistanceMetric.html -
ward_tree — scikit-learn 1.8.0 documentation
\sqrt{\frac{|v|+|s|} {T}d(v,s)^2 + \frac{|v|+|t|} {T}d(v,t)^2 - \frac{|v|} {T}d(s,t)^2}\]...\(d(u,v)\) is computed as follows, \[d(u,v) = \sqrt{\frac{|v|+|s|}...scikit-learn.org/stable/modules/generated/sklearn.cluster.ward_tree.html -
Install Node.js, npm, and VS Code
Ix:~ sperry$ node -v v8. 11.2 Ix:~ sperry$ npm -v 5.6 . 0 Ix:~ sperry$...Ix:~ sperry$ node -v v10. 4.0 Ix:~ sperry$ npm -v -bash: /usr/local/bin/npm:...developer.ibm.com/tutorials/learn-nodejs-installing-node-nvm-and-vscode/ -
Elastic BBQ: Better Binary Quantization in Luce...
] m a x v c 1 ′ = m a x ( v c 1 ′ ) = 0.19 , m i n v c 1 ′ =...15 m a x v c 1 ′ − m i n v c 1 ′ : x ∈ x s } Q ( v c 1 ′ ) =...www.elastic.co/search-labs/blog/better-binary-quantization-lucene-elasticsearch -
org.springframework.web.servlet Class Hierarchy...
V> (implements java.util. Map <K, V>) java.util....java.util. HashMap <K, V> (implements java.lang. Cloneable...docs.spring.io/spring-framework/docs/current/javadoc-api/org/springframework/web/servlet/package-... -
GMM covariances — scikit-learn 1.8.0 documentation
degrees v = 2.0 * np . sqrt ( 2.0 ) * np . sqrt ( v ) ell = mpl...gmm . means_ [ n , : 2 ], v [ 0 ], v [ 1 ], angle = 180 + angle...scikit-learn.org/stable/auto_examples/mixture/plot_gmm_covariances.html -
mutual_info_score — scikit-learn 1.8.0 document...
clusterings \(U\) and \(V\) is given as: \[MI(U,V)=\sum_{i=1}^{|U|}... \sum_{j=1}^{|V|} \frac{|U_i\cap V_j|}{N} \log\frac{N|U_i \cap...scikit-learn.org/stable/modules/generated/sklearn.metrics.mutual_info_score.html -
2.9. Neural network models (unsupervised) — sci...
\[P(\mathbf{v}, \mathbf{h}) = \frac{e^{-E(\mathbf{v}, \mathbf{h})}}{Z}\]...likelihood: \[\log P(v) = \log \sum_h e^{-E(v, h)} - \log \sum_{x,...scikit-learn.org/stable/modules/neural_networks_unsupervised.html