Source: mldemos Section: science Priority: optional Maintainer: Barak A. Pearlmutter Build-Depends: debhelper (>= 11), libopencv-dev, libboost-dev, qtbase5-dev, qttools5-dev, libqt5opengl5-desktop-dev, libqt5svg5-dev Standards-Version: 4.1.4 Homepage: http://mldemos.epfl.ch Vcs-Git: https://salsa.debian.org/debian/mldemos.git Vcs-Browser: https://salsa.debian.org/debian/mldemos Package: mldemos Architecture: any Depends: ${shlibs:Depends}, ${misc:Depends} Description: Machine Learning Demos (MLDemos) with Visualization A User-Friendly visualization toolkit for machine learning: MLDemos. Extensible architecture, contains modules for classification (gaussian mixture models, kernel methods such as support vector machines, nearest neighbor, kernel PCA, boosting, multilayer perceptrons, linear classifiers), clustering (gaussian mixtures, kernel methods, k-means), regression, etc.