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README.md
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README.md
@ -12,7 +12,7 @@ machine learning algorithms are available here.
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You need [Haskell Stack](https://github.com/commercialhaskell/stack).
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When you've got Haskell Stack, install GEval with:
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git clone https://github.com/filipg/geval
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git clone git://gonito.net/geval
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cd geval
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stack setup
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stack install
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@ -98,7 +98,7 @@ repo (for the toy “planets” challenge) could be created as follows:
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git init
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git add .gitignore config.txt README.md train/train.tsv dev-0/{in,expected}.tsv test-A/in.tsv
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git commit -m 'init challenge'
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git remote add origin git@github.com:filipg/planets
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git remote add origin ssh://gitolite@gonito.net/filipg/planets
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git push origin master
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git branch dont-peek
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git checkout dont-peek
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@ -111,7 +111,7 @@ repo (for the toy “planets” challenge) could be created as follows:
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Clone the repo with a challenge, as given on the Gonito web-site, e.g.
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for the toy “planets” challenge (as generated with `geval --init`):
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git clone https://github.com/filipg/planets
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git clone git://gonito.net/planets
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Now use the train data and whatever machine learning tools you like to
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guess the values for the dev set and the test set, put them,
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@ -134,7 +134,7 @@ If you'd like and if you have access to the test set results, you can
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“cheat” and check the results for the test set:
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cd ..
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git clone https://github.com/filipg/planets planets-secret --branch dont-peek
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git clone git://gonito.net/planets planets-secret --branch dont-peek
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cd planets
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geval --expected-directory ../planets-secret
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@ -144,7 +144,7 @@ Uploading is via Git — commit your “out” files and push the commit to
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your own repo. On Gonito you are encouraged to share your code, so
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be nice and commit also your source codes.
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git remote add mine git@github.com:johnsmith/planets-johnsmith
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git remote add mine git@github.com/johnsmith/planets-johnsmith
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git add {dev-0,test-A}/out.tsv
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git add Makefile magic-bullet.py ... # whatever scripts/source codes you have
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git commit -m 'my solution to the challenge'
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@ -58,4 +58,4 @@ test-suite geval-test
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source-repository head
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type: git
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location: https://github.com/filipg/geval
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location: git://gonito.net/geval
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