BibSonomy bookmarks for /tag/model%20selectionhttps://www.bibsonomy.org/tag/model%20selectionBibSonomy RSS Feed for /tag/model%20selectionCustom `cross_val` function for Pythons scikit-learn library. As opposed to scikit-learn's implementations, it returns predictions, split information, estimators.https://gist.github.com/mgbckr/13fe59473a9135dd11d03cc5650932e0becker2024-10-03T16:33:40+02:00cross_val cross_validate model python scikit-learn selection sklearn <a itemprop="url" data-versiondate="2024-10-03T16:33:40+02:00" href="https://gist.github.com/mgbckr/13fe59473a9135dd11d03cc5650932e0" rel="nofollow" class="description-link">https://gist.github.com/mgbckr/13fe59473a9135dd11d03cc5650932e0</a>ThomasBrouwer/BNMTF_ARD: Comparative Study of Inference Methods for Bayesian Nonnegative Matrix Factorisationhttps://github.com/ThomasBrouwer/BNMTF_ARDbecker2017-09-21T16:39:52+02:00bayesian matrix factorization bayes inference gibbs model selection tri factor ecml 2017 code <a itemprop="url" data-versiondate="2017-09-21T16:39:52+02:00" href="https://github.com/ThomasBrouwer/BNMTF_ARD" rel="nofollow" class="description-link">https://github.com/ThomasBrouwer/BNMTF_ARD</a>Frequentism and Bayesianism V: Model Selection | Pythonic Perambulationshttp://jakevdp.github.io/blog/2015/08/07/frequentism-and-bayesianism-5-model-selection/becker2017-04-11T11:46:36+02:00frequentist bayesian model selection aic bic likelihood ratio p value p-value x2 chi square comparison significance posterior predicitve check checks <a itemprop="url" data-versiondate="2017-04-11T11:46:36+02:00" href="http://jakevdp.github.io/blog/2015/08/07/frequentism-and-bayesianism-5-model-selection/" rel="nofollow" class="description-link">http://jakevdp.github.io/blog/2015/08/07/frequentism-and-bayesianism-5-model-selection/</a>The Perils of Stepwise Logistic Regressionhttp://www2.sas.com/proceedings/sugi26/p222-26.pdf#search=%22sas%20bayesian%20inference%20sugi%22bshanks2016-12-12T10:02:18+01:00Bookmarks work stepwise regression model selection <a itemprop="url" data-versiondate="2016-12-12T10:02:18+01:00" href="http://www2.sas.com/proceedings/sugi26/p222-26.pdf#search=%22sas%20bayesian%20inference%20sugi%22" rel="nofollow" class="description-link">http://www2.sas.com/proceedings/sugi26/p222-26.pdf#search=%22sas%20bayesian%20inference%20sugi%22</a>