Base classes and utilities that are useful for deploying ML models.
Project description
ML Base Package
Base classes and utilities that are useful for deploying ML models.
This package is useful for creating abstractions around machine learning models that make it easier to deploy them into other software systems.
Installation
To download the code and set up a development use these instructions.
To download the source code execute 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:
make dependencies
Running the Unit Tests
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
Project details
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Source Distribution
ml_base-0.2.0.tar.gz
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