Mljar-supervised

Latest version: v1.1.7

Safety actively analyzes 619181 Python packages for vulnerabilities to keep your Python projects secure.

Scan your dependencies

Page 1 of 11

1.1.6

Fixes
- fixed problems with `report()` (714)

1.1.5

Fixes
- fix xgboost warning (667)

1.1.4

Fixes
- fix sklearn/scipy warnings (709)
- fix report display in JupyterLab (710)

1.1.2

Thanks to lijm1358 for PR 689, it fixes problems with LightGBM tuning 645, 683.

1.1.1

I've added custom JSON Encoder that can handle numpy types. It fixes 496, 613, 622, 651.

1.1.0

Hey there, MLJAR enthusiasts! 🌟 In this release, we're giving a high-five πŸ™Œ to the latest and greatest versions of some rockstar ML packages:

- 🐼 pandas > 2.0.0
- πŸš€ xgboost > 2.0.0 (649)
- 🌳 dtreeviz > 2.2.2 (631)
- 🌈 shap > 0.42.1

🐍 We're supporting Python with versions: 3.8, 3.9, 3.10, 3.11.

Fixes πŸ› οΈ

Alrighty, with great power (read: updates) comes great responsibility (read: fixes)! We've rolled up our sleeves to zap those pesky warnings caused by our major package glow-up:

- πŸŽ“ Added classes_ for those classy classifiers (654)
- πŸ“Š Patched up a boo-boo in the calibration plot (655)
- πŸ”§ Tweaked a model type warning that was acting all sassy (638)

Keep rocking and happy coding! πŸŽΈπŸ€–πŸš€

Page 1 of 11

Β© 2024 Safety CLI Cybersecurity Inc. All Rights Reserved.