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# PyFeast
-Python bindings to the FEAST Feature Selection Toolbox.
+Python bindings to the FEAST Feature Selection Toolbox..
## Download
@@ -22,8 +22,8 @@ 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)
+* [FEAST](https://github.com/Craigacp/FEAST) v1.1.1 or higher
## Installation
@@ -33,7 +33,7 @@ In order to use the feast module, you will need the following dependencies
## 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.
+the Scikits-Learn toolbox. Make sure that if you are loading the data from a file and converting the data to a `numpy` array that you set `order="F"`. This is *very* important.
## Documentation
We have documentation for each of the functions available [here](http://mutantturkey.github.com/PyFeast/feast-module.html)