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diff --git a/README.markdown b/README.markdown index b6b4d42..7456ad4 100644 --- a/README.markdown +++ b/README.markdown @@ -10,7 +10,8 @@ to enable researchers to utilize these feature selection algorithms in Python was only natural. At Drexel University's [EESI Lab](http://www.ece.drexel.edu/gailr/EESI/), we are using PyFeast to create a feature -selection tool for the Department of Energy's upcoming KBase platform. +selection tool for the Department of Energy's upcoming KBase platform. We are also integrating a tool that utilizes +PyFeast as a script for Qiime users: [Qiime Fizzy Branch](https://github.com/EESI/FizzyQIIME) ## Requirements In order to use the feast module, you will need the following dependencies @@ -49,6 +50,9 @@ 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. +## Documentation +We have documentation for each of the functions available [here](http://mutantturkey.github.com/PyFeast/feast-module.html) + ## 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 |