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running Stanford Classifier on web request data
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| # | |
| # Features | |
| # | |
| useClassFeature=true | |
| # | |
| # generate features on url | |
| 10.useSplitNGrams=true | |
| 10.usePrefixSuffixNGrams=true | |
| # | |
| # generate features on mimetype | |
| 12.useSplitNGrams=true | |
| 12.usePrefixSuffixNGrams=true | |
| # | |
| # generate features on UA | |
| 15.useSplitNGrams=true | |
| 15.usePrefixSuffixNGrams=true | |
| # | |
| # Printing | |
| # | |
| printClassifier=HighWeight | |
| printClassifierParam=200 | |
| # | |
| # Mapping | |
| # | |
| goldAnswerColumn=0 | |
| # | |
| # Optimization | |
| # | |
| intern=true | |
| sigma=3 | |
| useQN=true | |
| QNsize=15 | |
| tolerance=1e-4 | |
| # | |
| # Training input | |
| # | |
| trainFile=logs.train | |
| testFile=logs.test |
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| zcat /a/squid/archive/sampled/sampled-1000.log-20121101.gz | head -n 10000 | sed 's/\s/\t/g' | awk 'NF==14{print}{}' | head -n 90000 | sed 's/\(.*\)/pre\t\1/' > logs.train | |
| zcat /a/squid/archive/sampled/sampled-1000.log-20121201.gz | head -n 10000 | sed 's/\s/\t/g' | awk 'NF==14{print}{}' | head -n 90000 | sed 's/\(.*\)/post\t\1/' > logs.train | |
| zcat /a/squid/archive/sampled/sampled-1000.log-20121102.gz | head -n 10000 | sed 's/\s/\t/g' | awk 'NF==14{print}{}' | head -n 90000 | sed 's/\(.*\)/pre\t\1/' > logs.test | |
| zcat /a/squid/archive/sampled/sampled-1000.log-20121202.gz | head -n 10000 | sed 's/\s/\t/g' | awk 'NF==14{print}{}' | head -n 90000 | sed 's/\(.*\)/post\t\1/' > logs.test | |
| java -jar stanford-classifier.jar -prop logs.prop -printClassifier HighWeight |
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