Skip to main content

Base classes and utilities that are useful for deploying ML models.

Project description

Code Quality Status License PyPi

ml-base

ml-base is a package that provides base classes and utilities that are useful for deploying machine learning models.

Installation

The easiest way to install ml-base is using pip

pip install ml-base

Usage

There are several examples of how to use the ml-base framework in the documentation.

Development

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:

make dependencies

Testing

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


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ml_base-0.2.1.tar.gz (7.0 kB view hashes)

Uploaded Source

Built Distribution

ml_base-0.2.1-py3-none-any.whl (7.6 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page