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| -rw-r--r-- | README.markdown | 25 |
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diff --git a/README.markdown b/README.markdown index 7456ad4..45a860d 100644 --- a/README.markdown +++ b/README.markdown @@ -19,28 +19,10 @@ In order to use the feast module, you will need the following dependencies * Python 2.7 * Numpy * Linux or OS X +* [FEAST](https://github.com/Craigacp/FEAST) +* [MIToolbox](https://github.com/Craigacp/MIToolbox) ## Installation -To install the FEAST interface, you'll need to build and install the FEAST -libraries first, and then install python. - -Make MIToolbox and install it: - - cd FEAST/MIToolbox - make - sudo make install - -Make FSToolbox and install it: - - cd FEAST/FSToolbox - make - sudo make install - -Run ldconfig to update your library cache: - - sudo ldconfig - -Install our PyFeast module: python ./setup.py build sudo python ./setup.py install @@ -56,5 +38,4 @@ We have documentation for each of the functions available [here](http://mutanttu ## References * [FEAST](http://www.cs.man.ac.uk/~gbrown/fstoolbox/) - The Feature Selection Toolbox * [Fizzy](http://www.kbase.us/developer-zone/api-documentation/fizzy-feature-selection-service/) - A KBase Service for Feature Selection -* [Conditional Likelihood Maximisation: A Unifying Framework for Information Theoretic Feature Selection] -(http://jmlr.csail.mit.edu/papers/v13/brown12a.html) +* [Conditional Likelihood Maximisation: A Unifying Framework for Information Theoretic Feature Selection](http://jmlr.csail.mit.edu/papers/v13/brown12a.html) |