Base classes and utilities that are useful for deploying ML models.
ml-base is a package that provides base classes and utilities that are useful for deploying machine learning models.
The easiest way to install ml-base is using pip
pip install ml-base
There are several examples of how to use the ml-base framework in the documentation.
First, download the source code with this command:
git clone https://github.com/schmidtbri/ml-base
Then create a virtual environment and activate it:
# go into the project directory cd ml-base make venv source venv/bin/activate
Install the dependencies:
To run the unit test suite execute these commands:
# first install the test dependencies make test-dependencies # run the test suite make test # clean up the unit tests make clean-test
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