Description:

curvesimilarities 0.3.0

CurveSimilarities






Curve similarity measures, implemented using Numba.
List of supported measures:

Dynamic time warping distance (dtw())
(Continuous) Fréchet distance (fd())
Discrete Fréchet distance (dfd())
Integral Fréchet distance (ifd())

Usage
>>> import numpy as np
>>> from curvesimilarities import fd # (Continuous) Fréchet distance
>>> fd(np.array([[0, 0], [1, 3], [2, 0]]), np.array([[0, 1], [2, 1]]))
2.0

Installation
CurveSimilarities can be installed using pip.
$ pip install curvesimilarities

Documentation
CurveSimilarities is documented with Sphinx.
The manual can be found on Read the Docs:

https://curvesimilarities.readthedocs.io/

If you want to build the document yourself, get the source code and install with [doc] dependency.
Then, go to doc directory and build the document:
$ pip install .[doc]
$ cd doc
$ make html

Document will be generated in build/html directory. Open index.html to see the central page.

License

For personal and professional use. You cannot resell or redistribute these repositories in their original state.

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