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Releases: mljar/mljar-supervised

v1.3.1

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@pplonski pplonski released this 11 Jun 10:38

This patch release improves the AutoML web app workflow and AI transparency.

  • publish_app() now reuses the last published URL by default (#830)
  • Fixed missing mljar_app.json upload in publish_app() (#829)
  • Improved numeric widget steps in generated apps (#828)
  • Added AI Act transparency messaging in generated apps, reports, and training output (#810)

v1.3.0

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@pplonski pplonski released this 29 May 11:40

Enhancements

  • (#803) automatically generate web app for your automl model
  • (#813) add fairness compliance certificate generation

v1.2.2

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@pplonski pplonski released this 26 Mar 10:21

MLJAR Supervised 1.2.2

  • Simplified report_structured() default output to compact summary (leaderboard + global feature importance).
  • Added on-demand detailed report for a selected model via report_structured(model_name=...).
  • Improved selected-model markdown layout: clear section order, cleaner headings, filtered noisy hyperparameters, richer fairness details and fairness explanation text.
  • Included fairness columns in summary leaderboard when fairness is enabled.
  • Fixed global feature-importance aggregation metadata (models_present) and updated examples/tests for the new report workflow.

v1.2.0

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@pplonski pplonski released this 25 Mar 07:48

mljar-supervised 1.2.0

  • Added AutoML.report_structured(format="markdown"|"dict"|"json", model_details=...) for LLM-friendly reporting.
  • New on-demand artifact: <results_path>/report_structured.json (full structured payload).
  • Improved markdown report readability (clean run summary, clearer best/model sections, better feature-importance naming).
  • Added examples for classification, regression, and fairness structured reports.
  • Updated structured-report tests and fixed macOS smoke workflow by installing libomp.

v1.1.18

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@pplonski pplonski released this 07 Jul 17:06

Fixes

  • removed unused dependencies, cleaned code -> the installation should be a little faster :) Changes in the #800

v1.1.17

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@pplonski pplonski released this 01 Apr 10:24

Fixes matplotlib backend initialization in notebooks after AutoML training #785

v1.1.15

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@pplonski pplonski released this 14 Jan 09:12

Fixes

  • fixed issues with new sklearn API #789, #788, #787
  • setup matplotlib backend for AutoML and switch it back to original #785

v1.1.12

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@pplonski pplonski released this 09 Oct 07:20

Fixes

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

v1.1.10

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@pplonski pplonski released this 10 Sep 11:15

Fix warnings due to packages update.

v1.1.9

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@pplonski pplonski released this 03 Jun 11:49

Fixes

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