CITATION.cff

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cff-version: 1.2.0
title: skforecast
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - given-names: Joaquin
    family-names: Amat Rodrigo
    email: j.amatrodrigo@gmail.com
  - given-names: Javier
    family-names: Escobar Ortiz
    email: javier.escobar.ortiz@gmail.com
url: 'https://skforecast.org/'
abstract: >-
  Skforecast is a Python library that eases using
  scikit-learn regressors as single and multi-step
  forecasters. It also works with any regressor compatible
  with the scikit-learn API.
keywords:
  - forecasting
  - machine learning
  - python
doi: 10.5281/zenodo.8382788
license: bsd-3-clause
version: 0.12.0
date-released: '2024-04-26'