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-0.2.2.tar.gz (7.3 kB view details)

Uploaded Source

Built Distribution

ml_base-0.2.2-py3-none-any.whl (7.7 kB view details)

Uploaded Python 3

File details

Details for the file ml_base-0.2.2.tar.gz.

File metadata

  • Download URL: ml_base-0.2.2.tar.gz
  • Upload date:
  • Size: 7.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for ml_base-0.2.2.tar.gz
Algorithm Hash digest
SHA256 f7da29cf796a4e538c89374ba102f6730d25e577e59ac2a2eadbcdc1bac5d653
MD5 0477539197fadb89dc9459ffd00f82e1
BLAKE2b-256 5dee6d0867ac8ab4bd8b89a9d8410ece8376afbdeabd5d2c5fec982d478ccd2e

See more details on using hashes here.

File details

Details for the file ml_base-0.2.2-py3-none-any.whl.

File metadata

  • Download URL: ml_base-0.2.2-py3-none-any.whl
  • Upload date:
  • Size: 7.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for ml_base-0.2.2-py3-none-any.whl
Algorithm Hash digest
SHA256 5afeaac2b8c456f219196913524d6b7eeb071ed49686e73710612c4caa430f1f
MD5 3b707bd8c592c4fa5207ff4a423692a3
BLAKE2b-256 4e46a1cfedcf2daf40f93d28795b0ca4023c185b99c0ab2f61a114bedc8212c3

See more details on using hashes here.

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