This repository is not an original official implementation of the work, but a refactored codebase. Performed within the FSE course at Skoltech.

Follow this quick start instructions step by step in order to download, build and run code inside docker containers:

• make hub_download - download data
• make hub_prepare - prepare data
• make hub_train - train net
• make hub_eval - evaluate net
• make hub_lint - lint all .py files in repo

• In order to change run configuration of prepare, train and test, you should change the following flags inside Makefile: PREPARE_FLAGS, TRAIN_FLAGS and TEST_FLAGS.
• DATA_DIR variable in Makefile defines the directory that is used for storing the data.
• In order to use additional libraries during train, test and steps, you should add them to the variable REQ in setup.py files in the repositories docker/train, docker/eval and docker/prepare.
• If you want to add tests of the particular functionality of prepare.py / train.py / test.py you need to add your test cases in unit_test.py file that correspons to the .py file whom functionality you would like to check.
• Note that in current solution tests run simultaneously with the docker container running.