v2.5.0

This release adds Python 3.13 support, fixes several bugs in search, configuration handling, and estimator preprocessing, and improves overall robustness. It also includes major documentation updates covering metrics, estimators, best practices, and hierarchical search spaces. Most of the work was contributed by @Copilot.

What's Changed

• Fix Best Practices not shown by @thinkall in #1483
• Fix isinstance usage issues by @thinkall in #1488
• Add support to python 3.13 by @thinkall in #1486
• Add objective parameter to LGBMEstimator search space by @Copilot in #1474
• Fix BlendSearch OptunaSearch warning for non-hierarchical spaces with Ray Tune domains by @Copilot in #1477
• Fix: Preserve FLAML_sample_size in best_config_per_estimator by @Copilot in #1475
• Bump version to 2.5.0 by @thinkall in #1492
• Add comprehensive metric documentation and URL reference to AutoML docstrings by @Copilot in #1471
• Expand docs to include all flamlized estimators by @Copilot in #1472
• Fix indents in Task-Oriented-AutoML.md by @thinkall in #1493
• Fix nested dictionary merge in SearchThread losing sampled hyperparameters by @Copilot in #1494
• Add GitHub Copilot instructions for FLAML repository by @Copilot in #1502
• Fix eval_set preprocessing for XGBoost estimators with categorical features by @Copilot in #1470
• Document missing value handling behavior for AutoML estimators by @Copilot in #1473
• Document that final_estimator parameters in ensemble are not auto-tuned by @Copilot in #1499
• Add validation and clear error messages for custom_metric parameter by @Copilot in #1500
• Use scientific notation for best error in logger output by @Copilot in #1498
• Add configurable label overlap handling for classification holdout strategy by @Copilot in #1491
• Clarify period parameter and automatic label lagging in time series forecasting by @Copilot in #1495
• Expose task-level and estimator-level preprocessors as public API by @Copilot in #1497
• Add hierarchical search space documentation by @Copilot in #1496
• Update Copilot Instructions by @thinkall in #1505

Full Changelog: v2.4.1...v2.5.0

v2.4.1

This release includes comprehensive documentation updates to reflect recent changes across the project, adds a new best practices page, introduces support for pickling the entire AutoML instance, and fixes several bugs.

What's Changed

• Update readme, enable all python versions for macos tests by @thinkall in #1478
• Add timeout for tests and remove macos test envs by @thinkall in #1479
• Support pickling the whole AutoML instance, Sync Fabric till 0d4ab16f by @thinkall in #1481
• Update documents, Bump version to 2.4.1, Sync Fabric till 088cfb98 by @thinkall in #1482

Full Changelog: v2.4.0...v2.4.1

v2.4.0

Python 3.12 Support Added

This release introduces official support for Python 3.12 and includes several bug fixes and enhancements that improve stability, performance, and overall user experience.

Thank you @Sm1Ling, @konabuta and all the other contributors for the PRs, issues, reviewing and testing.

Welcome @Sm1Ling and @konabuta to the community!

What's Changed

• Fix OSError: [Errno 24] Too many open files: 'nul' by @Sm1Ling in #1455
• Bump version to 2.3.7 by @thinkall in #1457
• update loc second argument to column by @konabuta in #1458
• Bump algoliasearch-helper from 3.11.1 to 3.26.0 in /website by @dependabot[bot] in #1461
• Update readme, bump version to 2.4.0, fix CI errors by @thinkall in #1466
• Add support to Python 3.12, Sync Fabric till dc382961 by @thinkall in #1467
• Fix log_training_metric causing IndexError for time series models by @Copilot in #1469

New Contributors

• @Sm1Ling made their first contribution in #1455
• @konabuta made their first contribution in #1458
• @Copilot made their first contribution in #1469

Full Changelog: v2.3.6...v2.4.0

v2.3.6

This release addresses a bug and enhances the documentation to provide a smoother, more user-friendly experience.

What's Changed

• Improve FAQ docs by @thinkall in #1448
• Fix TypeError of customized kfold method which needs 'y' by @thinkall in #1450
• Bump version to 2.3.6 by @thinkall in #1451
• Bump brace-expansion from 1.1.11 to 1.1.12 in /website by @dependabot[bot] in #1453

Full Changelog: v2.3.5...v2.3.6

v2.3.5

This release includes several bug fixes and enhancements aimed at improving overall user experience. Key updates include:

• Improved MLflow Logging: MLflow logging is now partially asynchronous, significantly boosting logging performance.

• New Utilities:

  • Added get_random_dataframe for generating random test data.

  • Added auto_convert_dtypes_spark and auto_convert_dtypes_pandas for automatic data type conversion.

  These utilities are now available in the flaml.automl.data module.

• Python 3.8 Deprecation: Support for Python 3.8 is officially deprecated starting with this release.

Thank you @SkBlaz, @Stickic-cyber, @hexiang-x, @murunlin and all the other contributors for the PRs, issues, reviewing and testing.

Welcome @SkBlaz, @Stickic-cyber, @hexiang-x and @murunlin to the community!

What's Changed

• Bump version to 2.3.5 by @thinkall in #1409
• Upgrade setuptools to fix pipeline errors in python 3.8 and 3.9 by @thinkall in #1410
• Improved error handling in case no scikit present by @SkBlaz in #1402
• Bump @babel/runtime-corejs3 from 7.20.1 to 7.26.10 in /website by @dependabot in #1412
• Bump prismjs from 1.29.0 to 1.30.0 in /website by @dependabot in #1411
• Bump @babel/runtime from 7.20.1 to 7.26.10 in /website by @dependabot in #1414
• Bump @babel/helpers from 7.20.1 to 7.26.10 in /website by @dependabot in #1413
• Fix issue with "list index out of range" when max_iter=1 by @Stickic-cyber in #1419
• Numpy 2.x is not supported yet. by @thinkall in #1424
• Revert "Numpy 2.x is not supported yet." by @thinkall in #1426
• Bump http-proxy-middleware from 2.0.7 to 2.0.9 in /website by @dependabot in #1425
• fix:When use_spark = True and mlflow_logging = True are set, an error is reported when logging the best model: 'NoneType' object has no attribute 'save' bug Something isn't working by @hexiang-x in #1432
• fix: best_model_for_estimator returns inconsistent feature_importances_ compared to automl.model by @murunlin in #1429
• Sync Fabric till 2cd1c3d by @thinkall in #1433
• Add the detailed info for parameter 'verbose' by @murunlin in #1435
• Sync Fabric till deb6dbe by @thinkall in #1438
• Upgrade python 3.8 to 3.10 in github actions by @thinkall in #1440
• Fix CD actions by @thinkall in #1441
• Fix typo, add quotes to python-version by @thinkall in #1442
• Install wheel and setuptools by @thinkall in #1443

New Contributors

• @SkBlaz made their first contribution in #1402
• @Stickic-cyber made their first contribution in #1419
• @hexiang-x made their first contribution in #1432
• @murunlin made their first contribution in #1429

Full Changelog: v2.3.4...v2.3.5

v2.3.4

This release fixes some bugs and improves user experience.

Thank you @drwillcharles , @dannycg1996 and all the other contributors for the PRs, issues, reviewing and testing.

Welcome @drwillcharles to the community!

What's Changed

• Bump version to 2.3.4 by @thinkall in #1389
• Fix test hang issue by @thinkall in #1406
• Changed tune.report import for ray>=2 by @drwillcharles in #1392
• Bump serialize-javascript from 6.0.0 to 6.0.2 in /website by @dependabot in #1407
• fix: Fixed bug where group folds and sample weights couldn't be used together by @dannycg1996 in #1405
• Fix params pop error by @thinkall in #1408

New Contributors

• @drwillcharles made their first contribution in #1392

Full Changelog: v2.3.3...v2.3.4

v2.3.3

This release fixes some bugs and improves user experience.

Thank you @kernelmethod , @EgorKraevTransferwise , @dannycg1996 and all the other contributors for the PRs, issues, reviewing and testing.

Welcome @kernelmethod to the community!

What's Changed

• Fix logging issues that can arise when importing flaml by @kernelmethod in #1377
• Bump version to 2.3.3 by @thinkall in #1378
• Bump cross-spawn from 7.0.3 to 7.0.6 in /website by @dependabot in #1379
• Pass cost_attr and cost_budget from flaml.tune.run() to the search algo by @EgorKraevTransferwise in #1382
• fix: Fixed bug with catboost and groups by @dannycg1996 in #1383
• Bump nanoid from 3.3.6 to 3.3.8 in /website by @dependabot in #1387
• fix: KeyError no longer occurs when using groupfolds for regression tasks. by @dannycg1996 in #1385

New Contributors

• @kernelmethod made their first contribution in #1377

Full Changelog: v2.3.2...v2.3.3

v2.3.2

This release improves the reproducibility of a bunch of models. Huge thanks to @dannycg1996 !

Thank you @dannycg1996 , @smty2018, @Programmer-RD-AI and all the other contributors for the PRs, issues, reviewing and testing.

What's Changed

• fix: Cross validation process isn't always run to completion by @dannycg1996 in #1360
• test: Adding tests to verify model reproducibility by @dannycg1996 in #1362
• fix: FLAML catboost metrics arent reproducible by @dannycg1996 in #1364
• Included that retrain_full = True does not include the user provided validation data in the docs. #1228 by @smty2018 in #1245
• Remove outdated comment by @thinkall in #1366
• Bump http-proxy-middleware from 2.0.6 to 2.0.7 in /website by @dependabot in #1370
• Bump version to 2.3.2 by @thinkall in #1372
• Fix data transform issue, spark log_loss metric compute error and json dumps TypeError (Sync Fabric till 3c545e6) by @thinkall in #1371
• fix: Ensure Reproducibility of ElasticNetEstimator by @dannycg1996 in #1374
• fix: LinearSVC results now reproducible by @dannycg1996 in #1376
• Add documentation for automl.model.estimator usage by @Programmer-RD-AI in #1311
• Flaml: fix lgbm reproducibility by @dannycg1996 in #1369

New Contributors

• @dannycg1996 made their first contribution in #1360
• @smty2018 made their first contribution in #1245

Full Changelog: v2.3.1...v2.3.2

v2.3.1

Hotfix release to resolve two urgent issues.

Thank you @ianhelle and @harupy for reporting them. Thank you @harupy and @leafy-lee for reviewing PRs.

What's Changed

• Add contributors wall by @thinkall in #1341
• Add info of tutorial automl 2024 by @thinkall in #1344
• Bump micromatch from 4.0.5 to 4.0.8 in /website by @dependabot in #1343
• Bump webpack from 5.76.1 to 5.94.0 in /website by @dependabot in #1342
• Remove temporary pickle files by @thinkall in #1354
• Support logger_formatter without automl dependencies by @thinkall in #1356
• Bump express from 4.19.2 to 4.21.0 in /website by @dependabot in #1357

Full Changelog: v2.3.0...v2.3.1

v2.3.0

This release adds a bunch of new estimators and comprehensive integration with MLflow. There are also some other fixes and improvements.

Welcome @gkhngyk to the community! Thank you @Borda, @gkhngyk , @leafy-lee and all the other contributors for the PRs, reviewing and testing. Special thanks to @levscaut for his work on adding estimators and MLflow integration.

What's Changed

• Add python 3.11 icon by @thinkall in #1330
• Fix test errors of nltk and numpy by @thinkall in #1335
• fix missing req. arg for new datasets package by @Borda in #1334
• configure & apply pyupgrade with py3.8+ by @Borda in #1333
• update py versions, sourced from PyPI by @Borda in #1332
• Bump braces from 3.0.2 to 3.0.3 in /website by @dependabot in #1336
• Fix(doc): edit broken link by @gkhngyk in #1296
• Bump follow-redirects from 1.15.4 to 1.15.6 in /website by @dependabot in #1291
• Bump webpack-dev-middleware from 5.3.3 to 5.3.4 in /website by @dependabot in #1292
• Bump express from 4.18.2 to 4.19.2 in /website by @dependabot in #1293
• Improve mlflow integration and add more models by @thinkall in #1331
• Update issue templates by @thinkall in #1337
• Update version and readme by @thinkall in #1338

New Contributors

• @gkhngyk made their first contribution in #1296

Full Changelog: v2.2.0...v2.3.0