ReplayModels

Creates models for Rocket League replay analysis.

Implementation

General classes and modules

Data retrieval is done through the DataManager subclasses (e.g. CalculatedLocalDM). These subclasses expose a get_data() method which retrieves a GameData object (with .df and .proto attributes).

General utility functions such as filtering columns of the dataframe are available in data/utils/utils.py.

data/utils/number_check.py checks the number of available replays in calculated.gg's api for a certain query, for a given playlist and min MMR.

value_function

Use batched_value_function.py which uses the refactorised class BatchTrainer. Running it should cache replay dataframes and protos, and plot loss with quicktracer.

data_main.py

Run this script to either download replay files, convert them to CSV, or combine CSVs into a dataset. Doing this relies on the config.ini file in "data/"

Steps to getting a dataframe of replay data:

Set up your config.ini file (what mode and mmr range you want to deal with, path options)

In the command line with the necessary packages installed:

    python data_main.py      (to see what args you want to use)
    
    python data_main.py download [args]
    python data_main.py convert [args]
    python data_main.py dataset [args]

You now have a .h5 file that can be opened by pandas into a dataframe.