scikit-fda: A Python Package for Functional Data Analysis
Dublin Core
Title
scikit-fda: A Python Package for Functional Data Analysis
Subject
: functional data analysis, computational statistics, interactive data visualization,
Python, scikit-lear
Python, scikit-lear
Description
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
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
Creator
Carlos Ramos-Carreño
Source
https://www.jstatsoft.org/article/view/v109i02
Publisher
Universidad Autónoma
de Madrid
de Madrid
Date
May 2021
Contributor
Fajar bagus W
Format
PDF
Language
English
Type
Text
Files
Collection
Citation
Carlos Ramos-Carreño, “scikit-fda: A Python Package for Functional Data Analysis,” Repository Horizon University Indonesia, accessed April 12, 2025, https://repository.horizon.ac.id/items/show/8325.