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 of the project for further information on the features included in the package.
The documentation is available at 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.
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Release files for scikit-fda-sim 0.7.1
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Source distribution (sdist)
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| scikit-fda-sim-0.7.1.tar.gz | 325.7 kB | Details |
Built distribution (wheel)
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|---|---|---|---|---|
| scikit_fda_sim-0.7.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 739.6 kB
Release files / scikit-fda-sim-0.7.1.tar.gz
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