MLAir (v1.0.0) - a tool to enable fast and flexible machine learning on air data time series - Source Code

MLAir (Machine Learning on Air data) is an environment that simplifies and accelerates the creation of new machine learning (ML) models for the analysis and forecasting of meteorological and air quality time series.

Current developments can be tracked in the gitlab repository:

This resource contains the MLAir version 1.0.0 in a zip archive, as well the requirements, a readme, and distribution file for easy installation using the package installer for python (pip). Instructions on the installation von MLAir can be found in the readme file.

Metadata Access
Creator Leufen, Lukas Hubert; Kleinert, Felix; Schultz, Martin Georg
Publisher B2SHARE FZJ
Publication Year 2020
Rights info:eu-repo/semantics/openAccess; The MIT License (MIT)
OpenAccess true
Language English
Resource Type Software
Discipline Various