Hello, I'm happy to announce the release of PyFeast, a feature selection module for python.
PyFeast is a set of bindings for the FEAST feature selection toolbox [0], which was originally written in C with a Mex interface to Matlab. Because Python is also commonly used in computational science, writing bindings to enable researchers to utilize these feature selection algorithms in Python was only natural. At Drexel University's EESI Lab[1], we are using PyFeast to create a feature selection tool for the Department of Energy's upcoming KBase platform.[2] PyFeast contains eleven different feature selection algorithms which are thoroughly documented, and utilizes numpy arrays, so integration into current projects is very easy. PyFeast is available here: http://github.com/mutantturkey/PyFeast Please let me know if you have any questions or comments! Thank you, Calvin Morrison [0] http://www.cs.man.ac.uk/~gbrown/fstoolbox/ [1] http://www.ece.drexel.edu/gailr/EESI/ [2] http://kbase.science.energy.gov/developer-zone/api-documentation/fizzy-feature-selection-service/ ------------------------------------------------------------------------------ Minimize network downtime and maximize team effectiveness. Reduce network management and security costs.Learn how to hire the most talented Cisco Certified professionals. Visit the Employer Resources Portal http://www.cisco.com/web/learning/employer_resources/index.html _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
