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| author | Calvin Morrison <mutantturkey@gmail.com> | 2014-10-27 14:08:54 -0400 |
|---|---|---|
| committer | Calvin Morrison <mutantturkey@gmail.com> | 2014-10-27 14:08:54 -0400 |
| commit | 556ae3823ce8105668cf22bb966acdec1ef954e6 (patch) | |
| tree | cff905d1cec43db71ad4310633e6c2d7fa3bc342 /README.markdown | |
| parent | ba67abd20e413a9672ce26f5cfcfb1251ecfde62 (diff) | |
| parent | 719281d5f02872ad83bf1a6f206e10622a383976 (diff) | |
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| -rw-r--r-- | README.markdown | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/README.markdown b/README.markdown index 5916a28..2004fb8 100644 --- a/README.markdown +++ b/README.markdown @@ -1,5 +1,5 @@ # 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) |