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)
1 maintainer
Metadata
1 maintainer
Release files for rank-similarity 0.0.1
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Source distribution (sdist)
| File | Size | Uploaded | |
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| rank-similarity-0.0.1.tar.gz | 14.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| rank_similarity-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 32.6 kB
Release files / rank-similarity-0.0.1.tar.gz
| Download URL | rank-similarity-0.0.1.tar.gz |
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| Size | 14.9 kB |
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Release files / rank_similarity-0.0.1-py3-none-any.whl
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