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GitHub / thieu1995 / permetrics
Artificial intelligence (AI, ML, DL) performance metrics implemented in Python
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/thieu1995%2Fpermetrics
Stars: 56
Forks: 16
Open Issues: 0
License: gpl-3.0
Language: Python
Repo Size: 2.35 MB
Dependencies:
20
Created: almost 4 years ago
Updated: about 2 months ago
Last pushed: 3 months ago
Last synced: about 2 months ago
Commit Stats
Commits: 370
Authors: 4
Mean commits per author: 92.5
Development Distribution Score: 0.057
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/thieu1995/permetrics
Topics: classification, classification-report, clustering-evaluation, coefficient-of-determination, deviation-of-runoff-volume, evaluation-metrics, kling-gupta-efficiency, mae, nash-sutcliffe-efficiency, performance-metrics, regression, regression-methods, relative-error, rmse, symmetric-mean-absolute-percentage, willmott-index
Files
Dependencies
- numpy ==1.15.1
- readthedocs-sphinx-search ==0.1.1
- sphinx ==4.4.0
- sphinx_rtd_theme ==1.0.0
- actions/checkout v3 composite
- actions/upload-artifact v1 composite
- openjournals/openjournals-draft-action master composite
- stefanzweifel/git-auto-commit-action v4 composite
- actions/cache v1 composite
- actions/checkout v1 composite
- actions/download-artifact v2 composite
- actions/setup-python v1 composite
- actions/upload-artifact master composite
- pypa/gh-action-pypi-publish master composite
- flake8 >=4.0.1
- numpy >=1.17.1
- pytest ==7.1.2
- pytest-cov ==4.0.0
- scipy >=1.7.1