Description:
ranksimilarity 0.0.1
Rank Similarity
Rank Similarity is a set of non-linear classification and transform tools for large multi-dimensional datasets that use the scikit-learn API.
Installation
Dependencies
rank-similarity requires:
Scikit-learn (>= 0.23)
Python (>= 3.7)
NumPy (>= 1.14.6)
SciPy (>= 1.1.0)
Optionally for plotting examples:
matplotlib (>= 2.2.2)
Install via pip
pip install rank-similarity
Development version
To get the latest development version, clone the GitHub repository:
git clone https://github.com/KatharineShapcott/rank-similarity
Usage
from ranksim import RankSimilarityClassifier
X = [[0, 1], [1, 0]]
y = [0, 1]
clf = RankSimilarityClassifier()
clf.fit(X, y)
pred = clf.predict(X)
More Information
Documentation
More details and background information is available in the
online documentation.
License
The package is new BSD licensed.
Citation
Please cite the following publication (in preparation) [1].
[1]
Shapcott, Bird, & Singer. Confusion-based rank similarity filters for computationally-efficient machine learning on high dimensional data. In preperation. (2021)
License
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
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