pmtk3 | Probabilistic Modeling Toolkit for Matlab/Octave | Analytics library

pmtk3 is a HTML library typically used in Analytics applications. pmtk3 has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

note: as of 2019, pmtk is no longer supported - use at your own risk. the new version of my book (which is in progress) now uses the python code available from pmtk is a collection of matlab/octave functions, written by matt dunham, kevin murphy and various other people. the toolkit is primarily designed to accompany kevin murphy's textbook machine learning: a probabilistic perspective, but can also be used independently of this book. the goal is to provide a unified conceptual and software framework encompassing machine learning, graphical models, and bayesian statistics (hence the logo). (some methods from frequentist statistics, such as cross validation, are also supported.) since december 2011, the toolbox is in maintenance mode, meaning that bugs will be fixed, but no new features will be added (at least not by kevin or matt). pmtk supports a large variety of probabilistic models, including linear and logistic regression models (optionally with kernels), svms and gaussian processes, directed and undirected graphical