>From what I see, the current blocking problems with the ongoing 0.12.1 release is that we have a few failing tests on windows that seem due to numerical stability issues.
I think that addressing this is going to be the biggest amount of remaining work for the release. We need to: - Understand if these tests are tests that were added between 0.12 and 0.12.1 (I think that they may be) - See if we can address the numerical stability - Make sure that they no longer fail (possibly with a conditional skip) There are 3 erros: - sklearn.cluster.tests.test_spectral.test_spectral_clustering - sklearn.cluster.tests.test_spectral.test_affinities - Tests the FastMCD algorithm implementation Ideally it would be great if we could divide up the work on these to avoid delaying the release. Any volonteers on these? I am tied down for another hour with the other issues mentionned for the release, and then I'll be switching priorities to these failing tests. Cheers, Gaël ------------------------------------------------------------------------------ Don't let slow site performance ruin your business. Deploy New Relic APM Deploy New Relic app performance management and know exactly what is happening inside your Ruby, Python, PHP, Java, and .NET app Try New Relic at no cost today and get our sweet Data Nerd shirt too! http://p.sf.net/sfu/newrelic-dev2dev _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
