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Using the Elasticsearch LTR demo w/ some hand-created judgments
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.gitignore
.python-version
1.json.jinja
2.json.jinja
3.json.jinja
4.json.jinja
5.json.jinja
6.json.jinja
7.json.jinja
8.json.jinja
esUrlParse.py
evaluate.py
features.py
judgments.py
osc_judgments.txt
rateSearch.json.jinja
rateShit.py
requirements.txt
search.py
searchJustLtr.py
train.py
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