henosis | Python framework for deploying recommendation models | Machine Learning library

henosis is a Python library typically used in Institutions, Learning, Education, Artificial Intelligence, Machine Learning, Deep Learning applications. henosis has no bugs, it has no vulnerabilities, it has build file available and it has low support. However henosis has a Non-SPDX License. You can install using 'pip install henosis' or download it from GitHub, PyPI.

Henosis is a cloud-native, lightweight Python-based recommender framework that facilitates providing recommendations to users of applications, like this:. Henosis is in active development and is released as alpha software. Henosis is being developed at the NASA Jet Propulsion Laboratory (JPL) using user-driven development (UDD) with generous support from the Office of Safety and Mission Success (5X). Henosis brings together model training and testing, storage and deployment, and querying under a single framework. Henosis provides Data Scientists with a straight-forward and generalizable environment in which to train, test, store, and deploy categorical machine learning models for making form field recommendations, while also providing software engineers and web developers with a REST API that can be easily queried for recommendations and integrated across different enterprise applications.