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| author | Calvin <calvin@EESI> | 2013-04-01 14:44:12 -0400 |
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| committer | Calvin <calvin@EESI> | 2013-04-01 14:44:12 -0400 |
| commit | c98cd5946ac2cde3cc8532b3dcb1d858d9a4275d (patch) | |
| tree | 2d0c3de9cf48dd9b7b654e409300da4e26ecc8df /README.txt | |
| parent | a440b718bf59a9fbca6d905c8ed64082680df561 (diff) | |
rename readme.txt to readme.markdown
Diffstat (limited to 'README.txt')
| -rw-r--r-- | README.txt | 50 |
1 files changed, 0 insertions, 50 deletions
diff --git a/README.txt b/README.txt deleted file mode 100644 index be68c37..0000000 --- a/README.txt +++ /dev/null @@ -1,50 +0,0 @@ -==== -PyFeast -==== -Python Interface to the FEAST Feature Selection Toolbox - -About -==== -This set of scripts provides an interface to the FEAST feature selection -toolbox, originally written in C with a Mex interface to Matlab. Python -2.7 is required, along with Numpy. The feast.py module provides an inter- -face to all the functionality of the FEAST implementation that was provided -with the original Matlab interface. - -Installation -==== -To install the FEAST interface, you'll need to build and install the 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 - -Install our PyFeast module - -$ python ./setup.py build -$ sudo python ./setup.py install - - -Demonstration -==== -See test/test.py for an example with uniform data and an image -data set. The image data set was collected from the digits example in -the Scikits-Learn toolbox. - -To Do -==== -1) Add a setup.py script that can manage the build and installation of the - Python interface to FEAST. -2) Add in the rest of the functionality to feast.py. Add subsequent - functionality into the demo. -3) Integrate the module into KBase! -4) Clean up the paths |