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chg scripts

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tqchen 2014-05-16 18:46:43 -07:00
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demo/rank/README
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Instructions: Instructions:
The dataset for ranking demo is from LETOR04 MQ2008 fold1, The dataset for ranking demo is from LETOR04 MQ2008 fold1,
http://research.microsoft.com/en-us/um/beijing/projects/letor/letor4download.aspx You can use the following command to run the example
Get the data: ./wgetdata.sh
Run the example: ./runexp.sh

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demo/rank/mq2008.conf
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# choose the tree booster, 0: tree, 1: linear # choose the tree booster, 0: tree, 1: linear
booster_type = 0 booster_type = 0
# so far, we have pairwise rank
objective="rank:pairwise" objective="rank:pairwise"
# Tree Booster Parameters # Tree Booster Parameters

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demo/rank/runexp.sh Normal file → Executable file
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python trans_data.py train.txt mq2008.train mq2008.train.group python trans_data.py train.txt mq2008.train mq2008.train.group
python trans_data.py test.txt mq2008.test mq2008.test.group python trans_data.py test.txt mq2008.test mq2008.test.group
python trans_data.py vali.txt mq2008.vali mq2008.vali.group python trans_data.py vali.txt mq2008.vali mq2008.vali.group
../../xgboost mq2008.conf ../../xgboost mq2008.conf

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demo/rank/wgetdata.sh Executable file
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#!/bin/bash
wget http://research.microsoft.com/en-us/um/beijing/projects/letor/LETOR4.0/Data/MQ2008.rar
unrar x MQ2008.rar
mv -f MQ2008/Fold1/*.txt .