Python sports betting toolbox.
Project description
sports-betting
sports-betting is a collection of tools that makes it easy to create machine learning models for sports betting and evaluate their performance. It is compatible with scikit-learn.
Documentation
Installation documentation, API documentation, and examples can be found on the documentation.
Dependencies
sports-betting is tested to work under Python 3.6+. The dependencies are the following:
pandas(>=1.1.0)
rich(>=4.28)
Installation
sports-betting is currently available on the PyPi’s repository and you can install it via pip:
pip install -U sports-betting
The package is released also in Anaconda Cloud platform:
conda install -c algowit sports-betting
If you prefer, you can clone it and run the setup.py file. Use the following commands to get a copy from GitHub and install all dependencies:
git clone https://github.com/AlgoWit/sports-betting.git cd sports-betting pip install .
Or install using pip and GitHub:
pip install -U git+https://github.com/AlgoWit/sports-betting.git
Testing
After installation, you can use pytest to run the test suite:
make test
Project details
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