2014-03-26 16:47:01 -07:00

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