scikit-fda: A Python Package for Functional Data Analysis
- URL: http://arxiv.org/abs/2211.02566v2
- Date: Thu, 22 Jun 2023 06:49:33 GMT
- Title: scikit-fda: A Python Package for Functional Data Analysis
- Authors: Carlos Ramos-Carre\~no, Jos\'e Luis Torrecilla, Miguel
Carbajo-Berrocal, Pablo Marcos, Alberto Su\'arez
- Abstract summary: scikit-fda is a Python package for Functional Data Analysis (FDA)
It provides a comprehensive set of tools for representation, preprocessing, and exploratory analysis of functional data.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: The library scikit-fda is a Python package for Functional Data Analysis
(FDA). It provides a comprehensive set of tools for representation,
preprocessing, and exploratory analysis of functional data. The library is
built upon and integrated in Python's scientific ecosystem. In particular, it
conforms to the scikit-learn application programming interface so as to take
advantage of the functionality for machine learning provided by this package:
pipelines, model selection, and hyperparameter tuning, among others. The
scikit-fda package has been released as free and open-source software under a
3-Clause BSD license and is open to contributions from the FDA community. The
library's extensive documentation includes step-by-step tutorials and detailed
examples of use.
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