Alcraft-Williams Trivial Divergence
There is a google colab to demonstrate this here: https://colab.research.google.com/drive/1NNfjDTaUO6IfAcVu5DDs9UvcEdGY_TDA?usp=sharing
Alcraft-Williams Association
This implements the Alcraft-Williams Association for finding associations in non-linear multi-dimensional data. It has a particular advantage in being able to identify associations in sinusoidal data.
Install
It is installed on PyPi and can installed with
pip install ra-trivial
1 maintainer
Metadata
1 maintainer
Release files for ra-trivial 0.0.5
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| ra_trivial-0.0.5-py3-none-any.whl | Python 3 | none | any | Details for ra_trivial-0.0.5-py3-none-any.whl |
Total release size: 53.7 kB
Release files / ra-trivial-0.0.5.tar.gz
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Release files / ra_trivial-0.0.5-py3-none-any.whl
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| Size | 28.2 kB |
| Tags | Python 3 |
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Security for ra-trivial 0.0.5
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