ClickModels is a small set of Python scripts for the user click models initially developed at Yandex. A Click Model is a probabilistic graphical model used to predict search engine click data from past observations. This project is aimed to deal with click models used in Information Retrieval (see next README.md) and intended to be easy-to-read and easy-to-modify. If it's not, please let me know how to improve it :)
We have lots of class methods, but only "test" a subset of them by running
./inference.py < data/click_log_sample.tsv 2>inference.logWe need a proper unit-testing.