zooie / tagger
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A simple machine learned tagger trained on BOSS web / delicious data
tagger /
| name | age | message | |
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README | Fri Oct 09 12:13:52 -0700 2009 | |
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autosvm.py | Fri Oct 09 09:05:25 -0700 2009 | |
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classify.py | Fri Oct 09 11:51:32 -0700 2009 | |
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conf.py | Fri Oct 09 09:05:25 -0700 2009 | |
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crawl_delicious.py | Fri Oct 09 11:32:25 -0700 2009 | |
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featurize.py | Fri Oct 09 09:05:25 -0700 2009 | |
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gen_training_test_set.py | Fri Oct 09 09:05:25 -0700 2009 | |
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libsvm-2.89.tar.gz | Wed Oct 07 20:00:46 -0700 2009 | |
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tags.txt | Wed Oct 07 20:00:46 -0700 2009 | |
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test_data.txt | Fri Oct 09 11:32:25 -0700 2009 | |
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training_data.txt | Fri Oct 09 11:32:25 -0700 2009 | |
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vector_data.cpickle | Fri Oct 09 11:32:25 -0700 2009 |
README
@author: Vik Singh (viksi@yahoo-inc.com) A simple BOSS example for Yahoo! Hack Day NYC A machine learned tagger trained on BOSS web / delicious data Read this if you want to learn more and especially check out the caveats section if you're planning to use this code for more practical purposes http://zooie.wordpress.com/2009/10/09/build-an-automatic-tagger-in-200-lines-with-boss/ # Install libsvm tar -xzvf libsvm-2.89.tar.gz cd libsvm-2.89 make cd .. # Optional: Crawl fresh delicious data via BOSS (a previous crawl already included) python crawl_delicious.py # Generate a binary training set via two tags (pick from tags.txt) python gen_training_test_set.py microsoft google # Learn from the resulting training_data.txt and predict on test_data.txt python autosvm.py training_set.txt test_set.txt # Prints out the accuracy of the learner and saves model + prediction files in timestamped folder
