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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

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