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GitHub / sergioburdisso / pyss3
A Python package implementing a new interpretable machine learning model for text classification (with visualization tools for Explainable AI :octocat:)
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sergioburdisso%2Fpyss3
Stars: 332
Forks: 44
Open Issues: 6
License: mit
Language: Python
Repo Size: 102 MB
Dependencies:
24
Created: over 4 years ago
Updated: 14 days ago
Last pushed: 9 months ago
Last synced: 8 days ago
Commit Stats
Commits: 393
Authors: 4
Mean commits per author: 98.25
Development Distribution Score: 0.02
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/sergioburdisso/pyss3
Topics: artificial-intelligence, data-mining, document-categorization, document-classification, early-classification, explainable-artificial-intelligence, interpretability, interpretable-machine-learning, interpretable-ml, machine-learning, machine-learning-algorithms, multilabel-classification, natural-language-processing, nlp, sentence-classification, ss3-classifier, text-classification, text-labeling, text-mining, xai
Files
Dependencies
- sphinx >=2.2.1
- sphinx_rtd_theme >=0.4.3
- codecov * development
- cython * development
- flake8 * development
- iterative-stratification * development
- matplotlib * development
- pytest >=4.6 development
- pytest-cov >=2.5 development
- pytest-mock * development
- scikit-learn >=0.20 development
- six * development
- stylecloud * development
- tqdm >=4.8.4 development
- cython *
- iterative-stratification *
- matplotlib *
- scikit-learn >=0.20
- six *
- stylecloud *
- tqdm >=4.8.4
- cython *
- scikit-learn *
- six *