https://pypi.tw.martin98.com/project/dsbox-corex/ Recent updates to the Python Package Index for dsbox-corex en https://pypi.tw.martin98.com/project/dsbox-corex/1.2.0/ Return components/latent factors that explain the most multivariate mutual information in the data under Linear Gaussian model. For comparison, PCA returns components explaining the most variance in the data. brekelma@usc.edu Mon, 21 Mar 2022 14:29:37 GMT https://pypi.tw.martin98.com/project/dsbox-corex/1.1.1/ Return components/latent factors that explain the most multivariate mutual information in the data under Linear Gaussian model. For comparison, PCA returns components explaining the most variance in the data. brekelma@usc.edu Wed, 09 Feb 2022 15:07:14 GMT https://pypi.tw.martin98.com/project/dsbox-corex/1.1.0/ Return components/latent factors that explain the most multivariate mutual information in the data under Linear Gaussian model. For comparison, PCA returns components explaining the most variance in the data. brekelma@usc.edu Tue, 08 Feb 2022 18:08:42 GMT https://pypi.tw.martin98.com/project/dsbox-corex/1.0.0/ Return components/latent factors that explain the most multivariate mutual information in the data under Linear Gaussian model. For comparison, PCA returns components explaining the most variance in the data. brekelma@usc.edu Mon, 28 Jan 2019 04:25:53 GMT