Principal nested spheres analysis for scikit-learn.
>>> from skpns import IntrinsicPNS
>>> from skpns.util import circular_data
>>> X = circular_data()
>>> X_new = IntrinsicPNS().fit_transform(X)$ pip install scikit-pns
The manual can be found online:
If you want to build the documentation yourself, get the source code and install with [doc] dependency.
Then, go to the doc directory and build the documentation:
$ pip install .[doc]
$ cd doc
$ make html
The documentation will be generated in the build/html directory. Open index.html to see the main page.
For development features, you must install the package by pip install -e .[dev].