rank pass toy
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demo/rank/runexp.sh
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demo/rank/runexp.sh
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#!/bin/bash
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# map the data to features. For convenience we only use 7 original attributes and encode them as features in a trivial way
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python mapfeat.py
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# split train and test
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python mknfold.py machine.txt 1
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# training and output the models
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../../xgboost machine.conf
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# output predictions of test data
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../../xgboost machine.conf task=pred model_in=0002.model
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# print the boosters of 0002.model in dump.raw.txt
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../../xgboost machine.conf task=dump model_in=0002.model name_dump=dump.raw.txt
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# print the boosters of 0002.model in dump.nice.txt with feature map
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../../xgboost machine.conf task=dump model_in=0002.model fmap=featmap.txt name_dump=dump.nice.txt
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# cat the result
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cat dump.nice.txt
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