Metadata-Version: 2.1
Name: scikit-fda
Version: 0.6
Summary: Functional Data Analysis Python package.
Home-page: https://fda.readthedocs.io
Maintainer: Carlos Ramos Carreño
Maintainer-email: vnmabus@gmail.com
License: BSD
Platform: any
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Typing :: Typed
Requires-Python: >=3.7, <4
License-File: LICENSE.txt

Functional Data Analysis, or FDA, is the field of Statistics that analyses
data that depend on a continuous parameter.

This package offers classes, methods and functions to give support to FDA
in Python. Includes a wide range of utils to work with functional data, and its
representation, exploratory analysis, or preprocessing, among other tasks
such as inference, classification, regression or clustering of functional data.
See documentation or visit the
`github page <https://github.com/GAA-UAM/scikit-fda>`_ of the project for
further information on the features included in the package.

The documentation is available at
`fda.readthedocs.io/en/stable/ <https://fda.readthedocs.io/en/stable/>`_, which
includes detailed information of the different modules, classes and methods of
the package, along with several examples showing different funcionalities.


