scikit-pns
Principal nested spheres analysis for scikit-learn.
Usage
>>> from skpns import IntrinsicPNS
>>> from skpns.util import circular_data
>>> X = circular_data()
>>> X_new = IntrinsicPNS().fit_transform(X)
Installation
$ pip install scikit-pns
Documentation
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.
Developing
Installation
For development features, you must install the package by pip install -e .[dev].
1 maintainer
Metadata
1 maintainer
Release files for scikit-pns 1.3.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| scikit_pns-1.3.0.tar.gz | 13.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| scikit_pns-1.3.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 26.9 kB
Release files / scikit_pns-1.3.0.tar.gz
| Download URL | scikit_pns-1.3.0.tar.gz |
|---|---|
| Size | 13.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.14.0
|
Release files / scikit_pns-1.3.0-py3-none-any.whl
| Download URL | scikit_pns-1.3.0-py3-none-any.whl |
|---|---|
| Size | 13.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.14.0
|
