test-ml 0.1.0

Opinionated scaffolding library for machine learning projects

Treat your machine learning models like any other software asset: properly test them and fail builds if they don’t meet your desired performance.

• Documentation: https://test-ml.readthedocs.io/en/latest/ (not live yet). For now, you can build the docs locally:

$ cd docs && make clean && make html

Open then index.html in the newly created docs/_build folder and you’re good to go.

Overview

This library enables you to easily test machine learning artifacts. Specify a set of target metric, and the rest is taken care of.

Note

Status: alpha. Active development, but breaking changes may come.

Features

• Rich CLI capabilities that enable you to configure metrics, input data, performance cut-offs, and more

• Small, statically typed codebase, and extensive docstrings

• Public API enabling embedding this library in any build process

• Easily extensible with custom loaders, runners, and metrics

Credits

This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.

History

0.1.0 (2018-11-02)

• First release on PyPI.

0.2.0 (2018-11-13)

• Major feature implementation and documentation

• Static typing

• Testing - 78% coverage

0.3.0 (2018-11-20)

• Major internals refactoring

• API unchanged, although external API was made more clear and documented