Is afc-svm-imbalanced-learning safe to use?

afc-svm-imbalanced-learning has no known vulnerabilities on the latest version (0.10.0). DepScope rates its health at 41/100 (high risk).

What is the latest version of afc-svm-imbalanced-learning?

The latest version of afc-svm-imbalanced-learning is 0.10.0, released 2024-08-06.

Does afc-svm-imbalanced-learning have known vulnerabilities?

No known vulnerabilities on the latest version of afc-svm-imbalanced-learning.

Is afc-svm-imbalanced-learning deprecated?

No, afc-svm-imbalanced-learning is actively maintained. Latest release: 0.10.0 (2024-08-06).

What are alternatives to afc-svm-imbalanced-learning?

Popular alternatives to afc-svm-imbalanced-learning in PyPI include: boto3, packaging, urllib3, idna, requests.

What license does afc-svm-imbalanced-learning use?

afc-svm-imbalanced-learning is licensed under MIT.

afc-svm-imbalanced-learning

pypiv0.10.0

Simple implementation of the papar Adaptive Feature-Space Conformal Transformation for Imbalanced-Data Learning

License MITpermissive14 versions1 maintainers7 deps

KKQanT/afc-imbalanced-learning

/ 100

Health

use with caution

[email protected] low health (41/100) — consider alternatives

Moderate health score (41/100) — verify manually

Health breakdown0 – 100

5/25

maintenance

0/20

popularity

25/25

security

9/15

maturity

2/15

community

Vulnerabilities

none known

Health History

Dependency Tree

License Audit

Dependencies (7)

numpy pandas scikit-learn scipy pandaspytest;unittest;ucimlrepo;

API access

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