v1.1.12

Fixes

• a lot of warning and bug fixes done in #777, #771, #762, #761, #760, #759, #758, #757, #756, #755, #754, #753, #752, #751, #750, #749, #743, #742, #733

🍁 Autumn release created thanks to amazing work of @maciekmalachowski, @a-szulc, @Marchlak 🚀 Thank you 🥇

v1.1.10

Fix warnings due to packages update.

v1.1.9

Fixes

• (#380) disable boost on errors step for custom strategy
• (#728) fix accuracy metric for Lightgbm

v1.1.7

Fixes

• (#725) fix styling of AutoML report, apply styles in the mljar-automl-report class

v1.1.6

Fixes

• fixed problems with report() (#714)

v1.1.5

Fixes

• fix xgboost warning (#667)

v1.1.4

Fixes

• fix sklearn/scipy warnings (#709)
• fix report display in JupyterLab (#710)

v1.1.2

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

v1.1.1

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

v1.1.0

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

• 🐼 pandas > 2.0.0
• 🚀 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 🛠️

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:

• 🎓 Added classes_ for those classy classifiers (#654)
• 📊 Patched up a boo-boo in the calibration plot (#655)
• 🔧 Tweaked a model type warning that was acting all sassy (#638)

Keep rocking and happy coding! 🎸🤖🚀