NOVA-IMS-Innovation-and-Analytics-Lab / publications

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IMS Machine Learning Lab publications.

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Publications

The repository contains the published work of the NOVA IMS Innovation and Analytics Lab. The projects directory contains each of the publications as an MLFlow project. Installation of the projects provides a CLI and allows to download the data and run the experiments.

Installation

Initially, clone the project:

git clone https://github.com/NOVA-IMS-Innovation-and-Analytics-Lab/publications.git

Main installation

From the root of the project you can use pip:

pip install .

Alternatively you can use PDM:

pdm install

The main installation allows to use the CLI. Some of the commands require additional dependencies.

Optional dependencies

You can install the optional dependencies using the -G flag:

pdm install -G [GROUP]

You may find the various groups of optional dependencies in the pyproject.toml file.

Optional dependencies

You can install the development dependencies using the -G and -d flags:

pdm install -G -d [GROUP]

You may find the various groups of development dependencies in the pyproject.toml file.

Command Line Interface

There four commands available to manage the project:

  • create
  • datasets
  • experiment
  • manuscript

You can use --help flag to get help about their usage and options.

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].