Robust Ranking
!Warning! This package is currently still under heavy development.
A Python package for robust ranking.
Installation
pip install git+https://github.com/jeroenrook/robustranking
Example usage
from robustranking.benchmark import Benchmark
from robustranking.comparison import BootstrapComparison
# Load benchmark data
benchmark = Benchmark()
benchmark.from_pandas(df, "algorithm", "instance", "pqr10")
print(benchmark.show_stats())
comparison = BootstrapComparison(benchmark,
alpha=0.05,
minimise=True,
bootstrap_runs=10000,
aggregation_method=np.mean)
robust_ranks = comparison.get_ranking()
print(robust_ranks)
Metadata
Release files for robustranking 0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| robustranking-0.2.tar.gz | 23.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| robustranking-0.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 52.6 kB
Release files / robustranking-0.2.tar.gz
| Download URL | robustranking-0.2.tar.gz |
|---|---|
| Size | 23.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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twine/6.0.1 CPython/3.10.6
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Release files / robustranking-0.2-py3-none-any.whl
| Download URL | robustranking-0.2-py3-none-any.whl |
|---|---|
| Size | 29.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.0.1 CPython/3.10.6
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