Releases | Open Source Science

flaml - 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 https://github.com/microsoft/FLAML/pull/1448
Fix TypeError of customized kfold method which needs 'y' by @thinkall in https://github.com/microsoft/FLAML/pull/1450
Bump version to 2.3.6 by @thinkall in https://github.com/microsoft/FLAML/pull/1451
Bump brace-expansion from 1.1.11 to 1.1.12 in /website by @dependabot[bot] in https://github.com/microsoft/FLAML/pull/1453

Full Changelog: https://github.com/microsoft/FLAML/compare/v2.3.5...v2.3.6

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Published by thinkall 11 months ago

flaml - 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 getrandomdataframe for generating random test data.
- Added autoconvertdtypesspark and autoconvertdtypespandas 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 https://github.com/microsoft/FLAML/pull/1409
Upgrade setuptools to fix pipeline errors in python 3.8 and 3.9 by @thinkall in https://github.com/microsoft/FLAML/pull/1410
Improved error handling in case no scikit present by @SkBlaz in https://github.com/microsoft/FLAML/pull/1402
Bump @babel/runtime-corejs3 from 7.20.1 to 7.26.10 in /website by @dependabot in https://github.com/microsoft/FLAML/pull/1412
Bump prismjs from 1.29.0 to 1.30.0 in /website by @dependabot in https://github.com/microsoft/FLAML/pull/1411
Bump @babel/runtime from 7.20.1 to 7.26.10 in /website by @dependabot in https://github.com/microsoft/FLAML/pull/1414
Bump @babel/helpers from 7.20.1 to 7.26.10 in /website by @dependabot in https://github.com/microsoft/FLAML/pull/1413
Fix issue with "list index out of range" when max_iter=1 by @Stickic-cyber in https://github.com/microsoft/FLAML/pull/1419
Numpy 2.x is not supported yet. by @thinkall in https://github.com/microsoft/FLAML/pull/1424
Revert "Numpy 2.x is not supported yet." by @thinkall in https://github.com/microsoft/FLAML/pull/1426
Bump http-proxy-middleware from 2.0.7 to 2.0.9 in /website by @dependabot in https://github.com/microsoft/FLAML/pull/1425
fix:When usespark = True and mlflowlogging = 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 https://github.com/microsoft/FLAML/pull/1432
fix: bestmodelforestimator returns inconsistent featureimportances_ compared to automl.model by @murunlin in https://github.com/microsoft/FLAML/pull/1429
Sync Fabric till 2cd1c3da by @thinkall in https://github.com/microsoft/FLAML/pull/1433
Add the detailed info for parameter 'verbose' by @murunlin in https://github.com/microsoft/FLAML/pull/1435
Sync Fabric till deb6dbee by @thinkall in https://github.com/microsoft/FLAML/pull/1438
Upgrade python 3.8 to 3.10 in github actions by @thinkall in https://github.com/microsoft/FLAML/pull/1440
Fix CD actions by @thinkall in https://github.com/microsoft/FLAML/pull/1441
Fix typo, add quotes to python-version by @thinkall in https://github.com/microsoft/FLAML/pull/1442
Install wheel and setuptools by @thinkall in https://github.com/microsoft/FLAML/pull/1443

New Contributors

@SkBlaz made their first contribution in https://github.com/microsoft/FLAML/pull/1402
@Stickic-cyber made their first contribution in https://github.com/microsoft/FLAML/pull/1419
@hexiang-x made their first contribution in https://github.com/microsoft/FLAML/pull/1432
@murunlin made their first contribution in https://github.com/microsoft/FLAML/pull/1429

Full Changelog: https://github.com/microsoft/FLAML/compare/v2.3.4...v2.3.5

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Published by thinkall about 1 year ago

flaml - v2.3.5

This release fixes some bugs and improves user experience.

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 https://github.com/microsoft/FLAML/pull/1409
Upgrade setuptools to fix pipeline errors in python 3.8 and 3.9 by @thinkall in https://github.com/microsoft/FLAML/pull/1410
Improved error handling in case no scikit present by @SkBlaz in https://github.com/microsoft/FLAML/pull/1402
Bump @babel/runtime-corejs3 from 7.20.1 to 7.26.10 in /website by @dependabot in https://github.com/microsoft/FLAML/pull/1412
Bump prismjs from 1.29.0 to 1.30.0 in /website by @dependabot in https://github.com/microsoft/FLAML/pull/1411
Bump @babel/runtime from 7.20.1 to 7.26.10 in /website by @dependabot in https://github.com/microsoft/FLAML/pull/1414
Bump @babel/helpers from 7.20.1 to 7.26.10 in /website by @dependabot in https://github.com/microsoft/FLAML/pull/1413
Fix issue with "list index out of range" when max_iter=1 by @Stickic-cyber in https://github.com/microsoft/FLAML/pull/1419
Numpy 2.x is not supported yet. by @thinkall in https://github.com/microsoft/FLAML/pull/1424
Revert "Numpy 2.x is not supported yet." by @thinkall in https://github.com/microsoft/FLAML/pull/1426
Bump http-proxy-middleware from 2.0.7 to 2.0.9 in /website by @dependabot in https://github.com/microsoft/FLAML/pull/1425
fix:When usespark = True and mlflowlogging = 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 https://github.com/microsoft/FLAML/pull/1432
fix: bestmodelforestimator returns inconsistent featureimportances_ compared to automl.model by @murunlin in https://github.com/microsoft/FLAML/pull/1429
Sync Fabric till 2cd1c3da by @thinkall in https://github.com/microsoft/FLAML/pull/1433
Add the detailed info for parameter 'verbose' by @murunlin in https://github.com/microsoft/FLAML/pull/1435
Sync Fabric till deb6dbee by @thinkall in https://github.com/microsoft/FLAML/pull/1438

New Contributors

@SkBlaz made their first contribution in https://github.com/microsoft/FLAML/pull/1402
@Stickic-cyber made their first contribution in https://github.com/microsoft/FLAML/pull/1419
@hexiang-x made their first contribution in https://github.com/microsoft/FLAML/pull/1432
@murunlin made their first contribution in https://github.com/microsoft/FLAML/pull/1429

Full Changelog: https://github.com/microsoft/FLAML/compare/v2.3.4...v2.3.5

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Published by thinkall about 1 year ago

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

New Contributors

@drwillcharles made their first contribution in https://github.com/microsoft/FLAML/pull/1392

Full Changelog: https://github.com/microsoft/FLAML/compare/v2.3.3...v2.3.4

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Published by thinkall over 1 year ago

flaml - 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 https://github.com/microsoft/FLAML/pull/1377
Bump version to 2.3.3 by @thinkall in https://github.com/microsoft/FLAML/pull/1378
Bump cross-spawn from 7.0.3 to 7.0.6 in /website by @dependabot in https://github.com/microsoft/FLAML/pull/1379
Pass costattr and costbudget from flaml.tune.run() to the search algo by @EgorKraevTransferwise in https://github.com/microsoft/FLAML/pull/1382
fix: Fixed bug with catboost and groups by @dannycg1996 in https://github.com/microsoft/FLAML/pull/1383
Bump nanoid from 3.3.6 to 3.3.8 in /website by @dependabot in https://github.com/microsoft/FLAML/pull/1387
fix: KeyError no longer occurs when using groupfolds for regression tasks. by @dannycg1996 in https://github.com/microsoft/FLAML/pull/1385

New Contributors

@kernelmethod made their first contribution in https://github.com/microsoft/FLAML/pull/1377

Full Changelog: https://github.com/microsoft/FLAML/compare/v2.3.2...v2.3.3

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Published by thinkall over 1 year ago

flaml - 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 https://github.com/microsoft/FLAML/pull/1360
test: Adding tests to verify model reproducibility by @dannycg1996 in https://github.com/microsoft/FLAML/pull/1362
fix: FLAML catboost metrics arent reproducible by @dannycg1996 in https://github.com/microsoft/FLAML/pull/1364
Included that retrain_full = True does not include the user provided validation data in the docs. #1228 by @smty2018 in https://github.com/microsoft/FLAML/pull/1245
Remove outdated comment by @thinkall in https://github.com/microsoft/FLAML/pull/1366
Bump http-proxy-middleware from 2.0.6 to 2.0.7 in /website by @dependabot in https://github.com/microsoft/FLAML/pull/1370
Bump version to 2.3.2 by @thinkall in https://github.com/microsoft/FLAML/pull/1372
Fix data transform issue, spark log_loss metric compute error and json dumps TypeError (Sync Fabric till 3c545e67) by @thinkall in https://github.com/microsoft/FLAML/pull/1371
fix: Ensure Reproducibility of ElasticNetEstimator by @dannycg1996 in https://github.com/microsoft/FLAML/pull/1374
fix: LinearSVC results now reproducible by @dannycg1996 in https://github.com/microsoft/FLAML/pull/1376
Add documentation for automl.model.estimator usage by @Programmer-RD-AI in https://github.com/microsoft/FLAML/pull/1311
Flaml: fix lgbm reproducibility by @dannycg1996 in https://github.com/microsoft/FLAML/pull/1369

New Contributors

@dannycg1996 made their first contribution in https://github.com/microsoft/FLAML/pull/1360
@smty2018 made their first contribution in https://github.com/microsoft/FLAML/pull/1245

Full Changelog: https://github.com/microsoft/FLAML/compare/v2.3.1...v2.3.2

- Jupyter Notebook
Published by thinkall over 1 year ago

What's Changed

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

Full Changelog: https://github.com/microsoft/FLAML/compare/v2.3.0...v2.3.1

- Jupyter Notebook
Published by thinkall almost 2 years ago

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

New Contributors

@gkhngyk made their first contribution in https://github.com/microsoft/FLAML/pull/1296

Full Changelog: https://github.com/microsoft/FLAML/compare/v2.2.0...v2.3.0

- Jupyter Notebook
Published by thinkall almost 2 years ago

flaml - v2.2.0

This release adds support for python 3.11 and optuna 3. There are also some other fixes and improvements.

Welcome @Programmer-RD-AI, @leafy-lee, @Atry and @chocolatevanille to the community! Thank you @Borda, @Programmer-RD-AI, @leafy-lee, @Atry, @chocolatevanille and all the other contributors for the PRs, reviewing and testing.

What's Changed

precommit: introduce mdformat by @Borda in https://github.com/microsoft/FLAML/pull/1276
Fix typos, upgrade yarn packages, add some improvements by @thinkall in https://github.com/microsoft/FLAML/pull/1290
Fix typo in tsmodel.py: change traindf.y to traindf[targetcol] by @Programmer-RD-AI in https://github.com/microsoft/FLAML/pull/1312
Upgrade Optuna to 3.6.1 by @thinkall in https://github.com/microsoft/FLAML/pull/1321
Handle Deprecation Args for Optuna Update by @leafy-lee in https://github.com/microsoft/FLAML/pull/1324
Add example of how to get best config and convert it to parameters by @thinkall in https://github.com/microsoft/FLAML/pull/1323
Add support to python 3.11 by @thinkall in https://github.com/microsoft/FLAML/pull/1326
Fix test mac os python 3.11 by @thinkall in https://github.com/microsoft/FLAML/pull/1328
Don't pass callbacks=None to XGBoostSklearnEstimator._fit by @Atry in https://github.com/microsoft/FLAML/pull/1322
Keep searching hyperparameters when r2_score raises an error by @Atry in https://github.com/microsoft/FLAML/pull/1325
Doc and comment typos improvements by @chocolatevanille in https://github.com/microsoft/FLAML/pull/1319
Bump version to 2.2.0 by @thinkall in https://github.com/microsoft/FLAML/pull/1329

New Contributors

@Programmer-RD-AI made their first contribution in https://github.com/microsoft/FLAML/pull/1312
@leafy-lee made their first contribution in https://github.com/microsoft/FLAML/pull/1324
@Atry made their first contribution in https://github.com/microsoft/FLAML/pull/1322
@chocolatevanille made their first contribution in https://github.com/microsoft/FLAML/pull/1319

Full Changelog: https://github.com/microsoft/FLAML/compare/v2.1.2...v2.2.0

- Jupyter Notebook
Published by thinkall almost 2 years ago

flaml - v2.1.2

What's Changed

Update README.md with autogen links by @aindree-2005 in https://github.com/microsoft/FLAML/pull/1235
Bump postcss from 8.4.18 to 8.4.31 in /website by @dependabot in https://github.com/microsoft/FLAML/pull/1238
Bump @babel/traverse from 7.20.1 to 7.23.2 in /website by @dependabot in https://github.com/microsoft/FLAML/pull/1248
[ENH] Add support for sklearn HistGradientBoostingEstimator by @glevv in https://github.com/microsoft/FLAML/pull/1230
Update Installation.md (for a Typo) by @ScottzCodez in https://github.com/microsoft/FLAML/pull/1258
Fix spark errors by @thinkall in https://github.com/microsoft/FLAML/pull/1274
docs: fix link to reference by @Borda in https://github.com/microsoft/FLAML/pull/1263
Update AutoML-NLP.md by @dhruvthakur2000 in https://github.com/microsoft/FLAML/pull/1239
Don't specify a pre-release in the numpy dependency by @jackgerrits in https://github.com/microsoft/FLAML/pull/1286
Np.inf by @sonichi in https://github.com/microsoft/FLAML/pull/1289
Bump follow-redirects from 1.15.2 to 1.15.4 in /website by @dependabot in https://github.com/microsoft/FLAML/pull/1266
Add ruff sort to pre-commit and sort imports in the library by @glevv in https://github.com/microsoft/FLAML/pull/1259

New Contributors

@aindree-2005 made their first contribution in https://github.com/microsoft/FLAML/pull/1235
@glevv made their first contribution in https://github.com/microsoft/FLAML/pull/1230
@ScottzCodez made their first contribution in https://github.com/microsoft/FLAML/pull/1258
@dhruvthakur2000 made their first contribution in https://github.com/microsoft/FLAML/pull/1239
@jackgerrits made their first contribution in https://github.com/microsoft/FLAML/pull/1286

Full Changelog: https://github.com/microsoft/FLAML/compare/v2.1.1...v2.1.2

- Jupyter Notebook
Published by sonichi over 2 years ago

flaml - v2.1.1

This release adds support for xgboost 2.0, and improves the docstr of preprocessors. Welcome @domoritz to the community!

What's Changed

support xgboost 2.0 by @sonichi in https://github.com/microsoft/FLAML/pull/1219
fix ref to research by @domoritz in https://github.com/microsoft/FLAML/pull/1218
Fix typo Whetehr -> Whether by @domoritz in https://github.com/microsoft/FLAML/pull/1220
Update autogen links by @qingyun-wu in https://github.com/microsoft/FLAML/pull/1214
improve docstr of preprocessors by @sonichi in https://github.com/microsoft/FLAML/pull/1227

New Contributors

@domoritz made their first contribution in https://github.com/microsoft/FLAML/pull/1218

Full Changelog: https://github.com/microsoft/FLAML/compare/v2.1.0...v2.1.1

- Jupyter Notebook
Published by sonichi almost 3 years ago

flaml - v2.1.0

This update renames a few classes and methods.

What's Changed

Migration headsup by @qingyun-wu in https://github.com/microsoft/FLAML/pull/1204
group chat for visualization by @sonichi in https://github.com/microsoft/FLAML/pull/1213
rename human to user_proxy by @sonichi in https://github.com/microsoft/FLAML/pull/1215
Rename Responsive -> Conversable by @sonichi in https://github.com/microsoft/FLAML/pull/1202

Full Changelog: https://github.com/microsoft/FLAML/compare/v2.0.3...v2.1.0

- Jupyter Notebook
Published by sonichi almost 3 years ago

flaml - v2.0.3

This release adds support for model name suffix "-0613" and allows admin takeover in the group chat, plus a more complex group chat example. Thanks @qingyun-wu @LeoLjl @JieyuZ2 @skzhang1 @pcdeadeasy @LittleLittleCloud for code review.

What's Changed

suffix in model name by @sonichi in https://github.com/microsoft/FLAML/pull/1206
fix typo by @qingyun-wu in https://github.com/microsoft/FLAML/pull/1210
admin takeover in group chat by @sonichi in https://github.com/microsoft/FLAML/pull/1209

Full Changelog: https://github.com/microsoft/FLAML/compare/v2.0.2...v2.0.3

- Jupyter Notebook
Published by sonichi almost 3 years ago

flaml - v2.0.2

This release contains an improvement to the assistant agent prompt, and doc update. Thanks @thinkall for the contribution and @BeibinLi @qingyun-wu @kevin666aa for reviewing and testing.

What's Changed

Update readme and AutoGen docs by @thinkall in https://github.com/microsoft/FLAML/pull/1183
Prompt improvement by @sonichi in https://github.com/microsoft/FLAML/pull/1203

Full Changelog: https://github.com/microsoft/FLAML/compare/v2.0.1...v2.0.2

- Jupyter Notebook
Published by sonichi almost 3 years ago

flaml - v2.0.1

This release contains prompt improvement and bug fix. In the next version, we will rename ResponsiveAgent to ConversableAgent.

Thanks @kevin666aa for the contribution, and @skzhang1 @LittleLittleCloud @JieyuZ2 @gagb for reviewing.

What's Changed

Cover function calls with no arguments by @kevin666aa in https://github.com/microsoft/FLAML/pull/1185
fix generate_reply when sender is None. by @kevin666aa in https://github.com/microsoft/FLAML/pull/1186
prompt improvement by @sonichi in https://github.com/microsoft/FLAML/pull/1188
document response fields by @sonichi in https://github.com/microsoft/FLAML/pull/1199

Full Changelog: https://github.com/microsoft/FLAML/compare/v2.0.0...v2.0.1

- Jupyter Notebook
Published by sonichi almost 3 years ago

flaml - v2.0.0

Prepare for a roller coaster ride of innovation with the launch of FLAML v2.0.0! This is not just another update but a culmination of numerous enhancements, novel features, and exciting improvements we've made from v2.0.0rc1 to v2.0.0rc5, leading to the grand v2.0.0 release. * With v2.0.0rc1, we embarked on a major refactor with the creation of an [automl] option to declutter dependencies for autogen and tune. * In v2.0.0rc2, we supercharged FLAML with support for new OpenAI gpt-3.5-turbo and gpt-4 models in autogen and rolled out the extensibility of autogen agents. * With v2.0.0rc3, we upped the ante by adding new OpenAI models' support of functions in agents and provided a handy code example in a dedicated notebook. * v2.0.0rc4 brought a host of improvements to the agentchat framework, enabling many new applications. * v2.0.0rc5 pushed the boundaries further by making auto-reply methods pluggable and supporting an asynchronous mode in agents.

Finally, we arrive at the grand v2.0.0 release! This version boasts of numerous feature enhancements in autogen, like multi-agent chat framework (in preview), expanded OpenAI model support, enhanced integration with Spark, and much more.

Documentation for AutoGen: https://microsoft.github.io/FLAML/docs/Use-Cases/Autogen Examples: https://microsoft.github.io/FLAML/docs/Examples/AutoGen-AgentChat Blogposts: https://microsoft.github.io/FLAML/blog

A huge shoutout to @qingyun-wu @kevin666aa @skzhang1 @ekzhu @BeibinLi @thinkall @LittleLittleCloud @JieyuZ2 @gagb @EgorKraevTransferwise @markharley @int-chaos @levscaut @feiran-jia @liususan091219 @royninja @pcdeadeasy as well as our new contributors @badjouras, @LeoLjl, @xiaoboxia, and @minghao51 who joined us during this journey. Your contributions have played a pivotal role in shaping this release.

What's Changed

Blogpost for adaptation in HumanEval by @sonichi in https://github.com/microsoft/FLAML/pull/1048
Improve messaging in documentation by @sonichi in https://github.com/microsoft/FLAML/pull/1050
create an automl option to remove unnecessary dependency for autogen and tune by @sonichi in https://github.com/microsoft/FLAML/pull/1007
docs: 📝 Fix link to installation section in Task-Oriented-AutoML.md by @badjouras in https://github.com/microsoft/FLAML/pull/1051
doc and test update by @sonichi in https://github.com/microsoft/FLAML/pull/1053
remove redundant doc and add tutorial by @qingyun-wu in https://github.com/microsoft/FLAML/pull/1004
add agent notebook and documentation by @qingyun-wu in https://github.com/microsoft/FLAML/pull/1052
Support more azure openai api_type by @thinkall in https://github.com/microsoft/FLAML/pull/1059
suppress warning message of pandasonspark to_spark by @thinkall in https://github.com/microsoft/FLAML/pull/1058
Agent notebook example with human feedback; Support shell command and multiple code blocks; Improve the system message for assistant agent; Improve utility functions for config lists; reuse docker image by @sonichi in https://github.com/microsoft/FLAML/pull/1056
Fix documentation by @sonichi in https://github.com/microsoft/FLAML/pull/1075
encode timeout msg in bytes by @sonichi in https://github.com/microsoft/FLAML/pull/1078
Add pands requirement in benchmark option by @qingyun-wu in https://github.com/microsoft/FLAML/pull/1070
Fix pyspark tests in workflow by @thinkall in https://github.com/microsoft/FLAML/pull/1071
Docmentation for agents by @qingyun-wu in https://github.com/microsoft/FLAML/pull/1057
Links to papers by @sonichi in https://github.com/microsoft/FLAML/pull/1084
update openai model support by @sonichi in https://github.com/microsoft/FLAML/pull/1082
string to array by @sonichi in https://github.com/microsoft/FLAML/pull/1086
Factor out time series-related functionality into a time series Task object by @EgorKraevTransferwise in https://github.com/microsoft/FLAML/pull/989
An agent implementation of MathChat by @kevin666aa in https://github.com/microsoft/FLAML/pull/1090
temp solution for joblib 1.3.0 issue by @thinkall in https://github.com/microsoft/FLAML/pull/1100
support string alg in tune by @skzhang1 in https://github.com/microsoft/FLAML/pull/1093
update flaml version in MathChat notebook by @kevin666aa in https://github.com/microsoft/FLAML/pull/1095
doc update by @sonichi in https://github.com/microsoft/FLAML/pull/1089
Update OptunaSearch by @skzhang1 in https://github.com/microsoft/FLAML/pull/1106
Support function_call in autogen/agent by @kevin666aa in https://github.com/microsoft/FLAML/pull/1091
update notebook with new models by @sonichi in https://github.com/microsoft/FLAML/pull/1112
Enhance Integration with Spark by @levscaut in https://github.com/microsoft/FLAML/pull/1097
Add Funccall notebook and document by @kevin666aa in https://github.com/microsoft/FLAML/pull/1110
Update docstring for oai.completion. by @LeoLjl in https://github.com/microsoft/FLAML/pull/1113
Try to prevent the default AssistantAgent from asking users to modify the code by @sonichi in https://github.com/microsoft/FLAML/pull/1114
update colab link by @sonichi in https://github.com/microsoft/FLAML/pull/1118
fix bug in mathuserproxy_agent by @kevin666aa in https://github.com/microsoft/FLAML/pull/1124
Add log metric by @thinkall in https://github.com/microsoft/FLAML/pull/1125
Update assistant agent by @sonichi in https://github.com/microsoft/FLAML/pull/1121
suppress printing data split type by @xiaoboxia in https://github.com/microsoft/FLAML/pull/1126
change price ratio by @sonichi in https://github.com/microsoft/FLAML/pull/1130
simplify the initiation of chat by @sonichi in https://github.com/microsoft/FLAML/pull/1131
Update docs on how to interact with local LLM by @LeoLjl in https://github.com/microsoft/FLAML/pull/1128
Json config list, agent refactoring and new notebooks by @sonichi in https://github.com/microsoft/FLAML/pull/1133
unify auto_reply; bug fix in UserProxyAgent; reorg agent hierarchy by @sonichi in https://github.com/microsoft/FLAML/pull/1142
rename GenericAgent -> ResponsiveAgent by @sonichi in https://github.com/microsoft/FLAML/pull/1146
Bump semver from 5.7.1 to 5.7.2 in /website by @dependabot in https://github.com/microsoft/FLAML/pull/1119
autogen.agent -> autogen.agentchat by @sonichi in https://github.com/microsoft/FLAML/pull/1148
MathChat blog post by @kevin666aa in https://github.com/microsoft/FLAML/pull/1096
Commenting uselabelencoder - xgboost by @minghao51 in https://github.com/microsoft/FLAML/pull/1122
raise error when msg is invalid; fix docstr; improve ResponsiveAgent; update doc and packaging; capture ipython output; configurable default reply by @sonichi in https://github.com/microsoft/FLAML/pull/1154
consecutive auto reply, history, template, group chat, class-specific reply by @sonichi in https://github.com/microsoft/FLAML/pull/1165
Improve auto reply registration by @sonichi in https://github.com/microsoft/FLAML/pull/1170
Make auto reply method pluggable by @sonichi in https://github.com/microsoft/FLAML/pull/1177
support async in agents by @sonichi in https://github.com/microsoft/FLAML/pull/1178
Updated README.md with installation Link by @royninja in https://github.com/microsoft/FLAML/pull/1180
Add RetrieveChat by @thinkall in https://github.com/microsoft/FLAML/pull/1158
silent; codeexecutionconfig; exit; version by @sonichi in https://github.com/microsoft/FLAML/pull/1179

New Contributors

@badjouras made their first contribution in https://github.com/microsoft/FLAML/pull/1051
@kevin666aa made their first contribution in https://github.com/microsoft/FLAML/pull/1090
@LeoLjl made their first contribution in https://github.com/microsoft/FLAML/pull/1113
@xiaoboxia made their first contribution in https://github.com/microsoft/FLAML/pull/1126
@minghao51 made their first contribution in https://github.com/microsoft/FLAML/pull/1122

Full Changelog: https://github.com/microsoft/FLAML/compare/v1.2.4...v2.0.0

- Jupyter Notebook
Published by sonichi almost 3 years ago

flaml - v2.0.0rc5

This version makes auto-reply methods pluggable and supports asynchronous mode in agents. An example of handling data steams is added. Thanks to @qingyun-wu @ekzhu for laying the foundation and reviewing!

What's Changed

Make auto reply method pluggable by @sonichi in https://github.com/microsoft/FLAML/pull/1177
support async in agents by @sonichi in https://github.com/microsoft/FLAML/pull/1178

Full Changelog: https://github.com/microsoft/FLAML/compare/v2.0.0rc4...v2.0.0rc5

- Jupyter Notebook
Published by sonichi almost 3 years ago

flaml - v2.0.0rc4

This pre-release makes lots of improvements in the agentchat framework. Many new applications are enabled. Thanks @JieyuZ2 @gagb @thinkall @BeibinLi @ekzhu @LittleLittleCloud @kevin666aa @qingyun-wu @LeoLjl and others for your contributions!

What's Changed

update colab link by @sonichi in https://github.com/microsoft/FLAML/pull/1118
fix bug in mathuserproxy_agent by @kevin666aa in https://github.com/microsoft/FLAML/pull/1124
Add log metric by @thinkall in https://github.com/microsoft/FLAML/pull/1125
Update assistant agent by @sonichi in https://github.com/microsoft/FLAML/pull/1121
suppress printing data split type by @xiaoboxia in https://github.com/microsoft/FLAML/pull/1126
change price ratio by @sonichi in https://github.com/microsoft/FLAML/pull/1130
simplify the initiation of chat by @sonichi in https://github.com/microsoft/FLAML/pull/1131
Update docs on how to interact with local LLM by @LeoLjl in https://github.com/microsoft/FLAML/pull/1128
Json config list, agent refactoring and new notebooks by @sonichi in https://github.com/microsoft/FLAML/pull/1133
unify auto_reply; bug fix in UserProxyAgent; reorg agent hierarchy by @sonichi in https://github.com/microsoft/FLAML/pull/1142
rename GenericAgent -> ResponsiveAgent by @sonichi in https://github.com/microsoft/FLAML/pull/1146
Bump semver from 5.7.1 to 5.7.2 in /website by @dependabot in https://github.com/microsoft/FLAML/pull/1119
autogen.agent -> autogen.agentchat by @sonichi in https://github.com/microsoft/FLAML/pull/1148
MathChat blog post by @kevin666aa in https://github.com/microsoft/FLAML/pull/1096
Commenting uselabelencoder - xgboost by @minghao51 in https://github.com/microsoft/FLAML/pull/1122
raise error when msg is invalid; fix docstr; improve ResponsiveAgent; update doc and packaging; capture ipython output; configurable default reply by @sonichi in https://github.com/microsoft/FLAML/pull/1154
consecutive auto reply, history, template, group chat, class-specific reply by @sonichi in https://github.com/microsoft/FLAML/pull/1165
Improve auto reply registration by @sonichi in https://github.com/microsoft/FLAML/pull/1170

New Contributors

@xiaoboxia made their first contribution in https://github.com/microsoft/FLAML/pull/1126
@minghao51 made their first contribution in https://github.com/microsoft/FLAML/pull/1122

Full Changelog: https://github.com/microsoft/FLAML/compare/v2.0.0rc3...v2.0.0rc4

- Jupyter Notebook
Published by sonichi almost 3 years ago

flaml - v2.0.0rc3

Highlights

Added new OpenAI models' support of functions in agents. Thanks to @kevin666aa, @sonichi and @qingyun-wu Please find a code example in this notebook: https://github.com/microsoft/FLAML/blob/main/notebook/autogenagentfunction_call.ipynb

What's Changed

temp solution for joblib 1.3.0 issue by @thinkall in https://github.com/microsoft/FLAML/pull/1100
support string alg in tune by @skzhang1 in https://github.com/microsoft/FLAML/pull/1093
update flaml version in MathChat notebook by @kevin666aa in https://github.com/microsoft/FLAML/pull/1095
doc update by @sonichi in https://github.com/microsoft/FLAML/pull/1089
Update OptunaSearch by @skzhang1 in https://github.com/microsoft/FLAML/pull/1106
Support function_call in autogen/agent by @kevin666aa in https://github.com/microsoft/FLAML/pull/1091
update notebook with new models by @sonichi in https://github.com/microsoft/FLAML/pull/1112
Enhance Integration with Spark by @levscaut in https://github.com/microsoft/FLAML/pull/1097
Add Funccall notebook and document by @kevin666aa in https://github.com/microsoft/FLAML/pull/1110
Update docstring for oai.completion. by @LeoLjl in https://github.com/microsoft/FLAML/pull/1113
Try to prevent the default AssistantAgent from asking users to modify the code by @sonichi in https://github.com/microsoft/FLAML/pull/1114

New Contributors

@LeoLjl made their first contribution in https://github.com/microsoft/FLAML/pull/1113

Full Changelog: https://github.com/microsoft/FLAML/compare/v2.0.0rc2...v2.0.0rc3

- Jupyter Notebook
Published by qingyun-wu almost 3 years ago

flaml - v2.0.0rc2

Highlights

Support new OpenAI gpt-3.5-turbo and gpt-4 models in autogen. Thanks to @gagb @kevin666aa @qingyun-wu @ekzhu @BeibinLi .
MathChat implemented with autogen.agents. Thanks to @kevin666aa @qingyun-wu.
Time-series related functionality in automl is factored out. Thanks to @EgorKraevTransferwise .

Thanks to all the contributors and reviewers @thinkall @qingyun-wu @EgorKraevTransferwise @kevin666aa @liususan091219 @skzhang1 @jtongxin @pcdeadeasy @markharley @int-chaos !

What's Changed

Fix documentation by @sonichi in https://github.com/microsoft/FLAML/pull/1075
encode timeout msg in bytes by @sonichi in https://github.com/microsoft/FLAML/pull/1078
Add pands requirement in benchmark option by @qingyun-wu in https://github.com/microsoft/FLAML/pull/1070
Fix pyspark tests in workflow by @thinkall in https://github.com/microsoft/FLAML/pull/1071
Docmentation for agents by @qingyun-wu in https://github.com/microsoft/FLAML/pull/1057
Links to papers by @sonichi in https://github.com/microsoft/FLAML/pull/1084
update openai model support by @sonichi in https://github.com/microsoft/FLAML/pull/1082
string to array by @sonichi in https://github.com/microsoft/FLAML/pull/1086
Factor out time series-related functionality into a time series Task object by @EgorKraevTransferwise in https://github.com/microsoft/FLAML/pull/989
An agent implementation of MathChat by @kevin666aa in https://github.com/microsoft/FLAML/pull/1090

New Contributors

@kevin666aa made their first contribution in https://github.com/microsoft/FLAML/pull/1090

Full Changelog: https://github.com/microsoft/FLAML/compare/2.0.0rc1...v2.0.0rc2

- Jupyter Notebook
Published by sonichi about 3 years ago

flaml - 2.0.0rc1

This release includes:

A Major Refactor: the creation of an automl option to remove unnecessary dependencies for autogen and tune (thanks to @sonichi.)
A newly added blog post addressing adaptation in HumanEval (thanks to @sonichi.)
A newly added tutorials folder containing all the tutorials on FLAML (thanks to @qingyun-wu, @sonichi, and @thinkall.)
Documentation Improvement and Link Corrections.
The addition of documentation and a notebook example on interactive LLM agents in FLAML (thanks to @qingyun-wu, @sonichi, @thinkall, and @pcdeadeasy.)
Support more azure openai api_type (thanks to @thinkall )
Suppress warning message of pandasonspark to_spark (thanks to @thinkall )
Support shell command and multiple code blocks (thanks to @sonichi )
Improve the system message for assistant agent (thanks to @sonichi and @gagb )
Improve utility functions for config lists (thanks to @sonichi )
Reuse docker image in a session (thanks to @sonichi and @gagb )

A hearty welcome to our new contributor, @badjouras, who made their first contribution. Thanks to code reviewers @gagb @pcdeadeasy @liususan091219 @thinkall @levscaut @sonichi @qingyun-wu.

What's Changed

Blogpost for adaptation in HumanEval by @sonichi in https://github.com/microsoft/FLAML/pull/1048
Improve messaging in documentation by @sonichi in https://github.com/microsoft/FLAML/pull/1050
create an automl option to remove unnecessary dependency for autogen and tune by @sonichi in https://github.com/microsoft/FLAML/pull/1007
docs: 📝 Fix link to installation section in Task-Oriented-AutoML.md by @badjouras in https://github.com/microsoft/FLAML/pull/1051
doc and test update by @sonichi in https://github.com/microsoft/FLAML/pull/1053
remove redundant doc and add tutorial by @qingyun-wu in https://github.com/microsoft/FLAML/pull/1004
add agent notebook and documentation by @qingyun-wu in https://github.com/microsoft/FLAML/pull/1052
Support more azure openai api_type by @thinkall in https://github.com/microsoft/FLAML/pull/1059
suppress warning message of pandasonspark to_spark by @thinkall in https://github.com/microsoft/FLAML/pull/1058
Agent notebook example with human feedback; Support shell command and multiple code blocks; Improve the system message for assistant agent; Improve utility functions for config lists; reuse docker image by @sonichi in https://github.com/microsoft/FLAML/pull/1056

New Contributors

@badjouras made their first contribution in https://github.com/microsoft/FLAML/pull/1051

Full Changelog: https://github.com/microsoft/FLAML/compare/v1.2.4...2.0.0rc1

- Jupyter Notebook
Published by qingyun-wu about 3 years ago

flaml - v1.2.4

This release contains: * improved support for using a list of configurations (thanks to @BeibinLi ), * using a filter to select from the responses out of a sequence of configurations (doc). * a new experimental human-proxy agent (thanks to @qingyun-wu and @gagb). * utility function to create config lists. * method clear_cache added in oai.Completion. * update of the default search space (thanks to @Kyoshiin and @LittleLittleCloud ). * prepare for flaml v2 (thanks to @qingyun-wu for writing the blogpost).

Breaking change: * cache_path is renamed into cache_path_root in set_cache.

Thanks to code reviewers @skzhang1 @jtongxin @pcdeadeasy @ZviBaratz @LittleLittleCloud @Borda , and to @liususan091219 @thinkall for fixing test error.

What's Changed

Catch AuthenticationError trying different configs by @BeibinLi in https://github.com/microsoft/FLAML/pull/1023
chat completion check by @sonichi in https://github.com/microsoft/FLAML/pull/1024
update model of text summarization in test by @liususan091219 in https://github.com/microsoft/FLAML/pull/1030
Human agent by @qingyun-wu in https://github.com/microsoft/FLAML/pull/1025
fix of website link by @sonichi in https://github.com/microsoft/FLAML/pull/1042
Blogpost by @qingyun-wu in https://github.com/microsoft/FLAML/pull/1026
Update default search space by @Kyoshiin in https://github.com/microsoft/FLAML/pull/1044
Fix PULLREQUESTTEMPLATE and improve test by removing unnecessary environment variable by @thinkall in https://github.com/microsoft/FLAML/pull/1043
response filter by @sonichi in https://github.com/microsoft/FLAML/pull/1039

New Contributors

@BeibinLi made their first contribution in https://github.com/microsoft/FLAML/pull/1023
@Kyoshiin made their first contribution in https://github.com/microsoft/FLAML/pull/1044

Full Changelog: https://github.com/microsoft/FLAML/compare/v1.2.3...v1.2.4

- Jupyter Notebook
Published by sonichi about 3 years ago

flaml - v1.2.3

This release contains a number of updates in autogen and automl.

We added more utilities and documentation improvement to flaml.oai such as logging, templating and using multiple configs to make developing and experimentation with OpenAI models more convenient. (thanks to @afourney @victordibia @torronen @ekzhu )
We added an experimental coding agent based on GPT-4. (thanks to @BeibinLi @qingyun-wu @skzhang1 )
We added options to disable the default mlflow logging in automl. (thanks to @garar)
We make better use of parallelism in auto-scale spark cluster for automl and tune. (thanks to @thinkall )

Thanks to @royninja @luckyklyist @Borda @qingyun-wu @thinkall @liususan091219 for other bug fixes, documentation improvement, and engineering improvement. Thanks to @victordibia @skzhang1 @kevin666aa @jtongxin @levscaut for code reviews.

What's Changed

version update post release v1.2.2 by @sonichi in https://github.com/microsoft/FLAML/pull/1005
fixing the typo #990 by @royninja in https://github.com/microsoft/FLAML/pull/994
fixed sentence misplace #998 by @luckyklyist in https://github.com/microsoft/FLAML/pull/1010
pyproject.toml & switch to Ruff by @Borda in https://github.com/microsoft/FLAML/pull/976
update readme by @qingyun-wu in https://github.com/microsoft/FLAML/pull/1014
raise content_filter error by @sonichi in https://github.com/microsoft/FLAML/pull/1018
Fix catboost failure in mac-os python<3.9 by @thinkall in https://github.com/microsoft/FLAML/pull/1020
coding agent; logging by @sonichi in https://github.com/microsoft/FLAML/pull/1011
Add mlflow_logging param by @garar in https://github.com/microsoft/FLAML/pull/1015
fix NLP zero division error by @liususan091219 in https://github.com/microsoft/FLAML/pull/1009
update maxsparkparallelism to fit in auto-scale spark cluster by @thinkall in https://github.com/microsoft/FLAML/pull/1008
update spark session in spark tests by @thinkall in https://github.com/microsoft/FLAML/pull/1006
Mark experimental classes; doc; multi-config trial by @sonichi in https://github.com/microsoft/FLAML/pull/1021

New Contributors

@luckyklyist made their first contribution in https://github.com/microsoft/FLAML/pull/1010
@garar made their first contribution in https://github.com/microsoft/FLAML/pull/1015

Full Changelog: https://github.com/microsoft/FLAML/compare/v1.2.2...v1.2.3

- Jupyter Notebook
Published by sonichi about 3 years ago

flaml - v1.2.2

What's Changed

update nlp notebook by @liususan091219 in https://github.com/microsoft/FLAML/pull/940
Blog post for LLM tuning by @sonichi in https://github.com/microsoft/FLAML/pull/986
fix zerodivision by @liususan091219 in https://github.com/microsoft/FLAML/pull/1000
extract code from text; solveproblem; requesttimeout in config; improve code by @sonichi in https://github.com/microsoft/FLAML/pull/999

Full Changelog: https://github.com/microsoft/FLAML/compare/v1.2.1...v1.2.2

- Jupyter Notebook
Published by sonichi about 3 years ago

flaml - v1.2.1

What's Changed

handling nlp divide by zero by @liususan091219 in https://github.com/microsoft/FLAML/pull/926
set black with 120 line length by @Borda in https://github.com/microsoft/FLAML/pull/975
Post release update by @sonichi in https://github.com/microsoft/FLAML/pull/985
fix tests failure caused by version incompatibility by @thinkall in https://github.com/microsoft/FLAML/pull/995
Expose feature and label transformer in automl.py by @JaneIllario in https://github.com/microsoft/FLAML/pull/993
make context optional; improve error handling and doc by @sonichi in https://github.com/microsoft/FLAML/pull/997

New Contributors

@JaneIllario made their first contribution in https://github.com/microsoft/FLAML/pull/993

Full Changelog: https://github.com/microsoft/FLAML/compare/v1.2.0...v1.2.1

- Jupyter Notebook
Published by sonichi about 3 years ago

flaml - v1.2.0

This is a major release with many new features.

Highlights

autogen subpackage in preview: text generation optimization, including support for ChatGPT and GPT-4.
Spark dataframe and SynapseML support in preview.
Holt-Winters exponential smoothing for time series forecasting.
Task class abstraction for easier task-specific development.

What's Changed

precommit: end-of-file-fixer by @Borda in https://github.com/microsoft/FLAML/pull/929
adding precommit check by @Borda in https://github.com/microsoft/FLAML/pull/930
Bump http-cache-semantics from 4.1.0 to 4.1.1 in /website by @dependabot in https://github.com/microsoft/FLAML/pull/913
adding openai documentation by @liususan091219 in https://github.com/microsoft/FLAML/pull/938
improve maxvalidn and doc by @sonichi in https://github.com/microsoft/FLAML/pull/933
Update doc and notebook by @skzhang1 in https://github.com/microsoft/FLAML/pull/946
ChatGPT support by @sonichi in https://github.com/microsoft/FLAML/pull/942
Extract task class from automl by @markharley in https://github.com/microsoft/FLAML/pull/857
fix delete in TransformersEstimator, so to remove the ckpt not found warning in PR 940 by @liususan091219 in https://github.com/microsoft/FLAML/pull/950
Support spark dataframe as input dataset and spark models as estimators by @thinkall in https://github.com/microsoft/FLAML/pull/934
gpt-4 support; openai workflow fix; model str; timeout; voting by @sonichi in https://github.com/microsoft/FLAML/pull/958
more tolerant time limit for test_overtime by @levscaut in https://github.com/microsoft/FLAML/pull/960
Adding a test function for OpenAI completion in flaml by @qingyun-wu in https://github.com/microsoft/FLAML/pull/951
Noctus contribute by @AyeshGK in https://github.com/microsoft/FLAML/pull/961
add timeout to openai create by @thinkall in https://github.com/microsoft/FLAML/pull/973
ci: concurrency by @Borda in https://github.com/microsoft/FLAML/pull/931
Bump eta from 1.12.3 to 2.0.0 in /website by @dependabot in https://github.com/microsoft/FLAML/pull/941
Bump webpack from 5.74.0 to 5.76.1 in /website by @dependabot in https://github.com/microsoft/FLAML/pull/952
Bump @sideway/formula from 3.0.0 to 3.0.1 in /website by @dependabot in https://github.com/microsoft/FLAML/pull/963
Add Holt-Winters exponential smoothing by @coffepowered in https://github.com/microsoft/FLAML/pull/962
autogen subpackage by @sonichi in https://github.com/microsoft/FLAML/pull/968

New Contributors

@AyeshGK made their first contribution in https://github.com/microsoft/FLAML/pull/961

Full Changelog: https://github.com/microsoft/FLAML/compare/v1.1.3...v1.2.0

- Jupyter Notebook
Published by sonichi over 3 years ago

flaml - v1.1.3

This version contains multiple updates, including support of Azure OpenAI APIs, user-defined meta features in zero-shot AutoML, and time monitoring for spark jobs. Thanks to all the contributors!

What's Changed

workflow path->paths by @sonichi in https://github.com/microsoft/FLAML/pull/915
azure oai by @sonichi in https://github.com/microsoft/FLAML/pull/920
Added extras for synapse by @thinkall in https://github.com/microsoft/FLAML/pull/916
Update hf version by @liususan091219 in https://github.com/microsoft/FLAML/pull/918
bump version to 1.1.3; workflow trigger by @sonichi in https://github.com/microsoft/FLAML/pull/924
added a documentation about small time budget by @Animaholic in https://github.com/microsoft/FLAML/pull/914
Fix Dependabot alerts by @skzhang1 in https://github.com/microsoft/FLAML/pull/922
pre-commit: update config by @Borda in https://github.com/microsoft/FLAML/pull/925
Improve annotations in automl and ml modules by @coffepowered in https://github.com/microsoft/FLAML/pull/919
Updated dict type args default value to None by @thinkall in https://github.com/microsoft/FLAML/pull/927
fix #493 by @LittleLittleCloud in https://github.com/microsoft/FLAML/pull/932
add PySparkOvertimeMonitor to avoid exceeding time budget by @levscaut in https://github.com/microsoft/FLAML/pull/923
minor change to notebook by @sonichi in https://github.com/microsoft/FLAML/pull/928

New Contributors

@Borda made their first contribution in https://github.com/microsoft/FLAML/pull/925
@LittleLittleCloud made their first contribution in https://github.com/microsoft/FLAML/pull/932
@levscaut made their first contribution in https://github.com/microsoft/FLAML/pull/923

Full Changelog: https://github.com/microsoft/FLAML/compare/v1.1.2...v1.1.3

- Jupyter Notebook
Published by sonichi over 3 years ago

flaml - v1.1.2

News

AAAI-23 tutorial: We will be giving a tutorial about FLAML in AAAI-23 on Feb 08, 2023. Please find the tutorial agenda in this page.
Latest research to appear at ICLR-23: Our latest research on multiobjective HPO is accepted as one of the notable-top-5% research papers in ICLR 2023:
- Please find more details about the method in our paper: Targeted Hyperparameter Optimization with Lexicographic Preferences Over Multiple Objectives. Shaokun Zhang, Feiran Jia, Chi Wang, Qingyun Wu. ICLR 2023 (notable-top-5%).
- Please find detailed documentation about this new functionality in this page: https://microsoft.github.io/FLAML/docs/Use-Cases/Tune-User-Defined-Function#lexicographic-objectives.
OpenAI support is added in this release. A notebook example can be found at: https://github.com/microsoft/FLAML/blob/main/notebook/integrate_openai.ipynb

What's Changed

handle num_samples=-1 by @sonichi in https://github.com/microsoft/FLAML/pull/879
Bump json5 from 2.2.1 to 2.2.3 in /website by @dependabot in https://github.com/microsoft/FLAML/pull/877
fix the doc error of customized metrics in automl by @skzhang1 in https://github.com/microsoft/FLAML/pull/883
Bump ua-parser-js from 0.7.32 to 0.7.33 in /website by @dependabot in https://github.com/microsoft/FLAML/pull/900
display data head in notebook; exclude None by @sonichi in https://github.com/microsoft/FLAML/pull/885
Support percentage tolerance for lexicographic optimization by @skzhang1 in https://github.com/microsoft/FLAML/pull/875
Document how to use the group k-fold by @coffepowered in https://github.com/microsoft/FLAML/pull/894
update doc for research papers by @qingyun-wu in https://github.com/microsoft/FLAML/pull/912
stratified group kfold splitter by @sonichi in https://github.com/microsoft/FLAML/pull/899
add cost budget; move loc of make_dir by @sonichi in https://github.com/microsoft/FLAML/pull/888
Add bibtex entries for research publications by @Animaholic in https://github.com/microsoft/FLAML/pull/904
Openai by @sonichi in https://github.com/microsoft/FLAML/pull/905

New Contributors

@coffepowered made their first contribution in https://github.com/microsoft/FLAML/pull/894
@Animaholic made their first contribution in https://github.com/microsoft/FLAML/pull/904

Full Changelog: https://github.com/microsoft/FLAML/compare/v1.1.1...v1.1.2

- Jupyter Notebook
Published by qingyun-wu over 3 years ago

flaml - v1.1.1

What's Changed

create dir for log file name by @sonichi in https://github.com/microsoft/FLAML/pull/867
Do not persist entire AutoMLState in Searcher by @Yard1 in https://github.com/microsoft/FLAML/pull/870
fix #871: call check_spark only when necessary by @thinkall in https://github.com/microsoft/FLAML/pull/872
notebook test; spark warning message; reproducibility bug; sequential tuning stop condition by @sonichi in https://github.com/microsoft/FLAML/pull/869

Full Changelog: https://github.com/microsoft/FLAML/compare/v1.1.0...v1.1.1

- Jupyter Notebook
Published by sonichi over 3 years ago

flaml - v1.1.0

Highlights

Spark is now supported as a new parallel tuning backend.
New tuning capability: targeted tuning with multiple lexicographic objectives. Check out documentation and an example for this new tuning capability.
New metrics: rocaucweighted, rocaucovrweighted, rocaucovoweighted.
New reproducible learner selection method when time_budget is not specified.
AutoML-related functionaility is moved into a new automl subpackage.

Thanks to all contributors who contributed to this release!

What's Changed

Bump actions/checkout from 2 to 3 by @dependabot in https://github.com/microsoft/FLAML/pull/699
fix dependably alert by @skzhang1 in https://github.com/microsoft/FLAML/pull/818
fix typo by @skzhang1 in https://github.com/microsoft/FLAML/pull/823
install editable package in codespace by @sonichi in https://github.com/microsoft/FLAML/pull/826
skip testhfdata in py 3.6 by @sonichi in https://github.com/microsoft/FLAML/pull/832
fix typo of output directory by @thinkall in https://github.com/microsoft/FLAML/pull/828
catch TFT logger bugs by @int-chaos in https://github.com/microsoft/FLAML/pull/833
rocaucweighted metric addition by @shreyas36 in https://github.com/microsoft/FLAML/pull/827
make performance test reproducible by @sonichi in https://github.com/microsoft/FLAML/pull/837
Refactor into automl subpackage by @markharley in https://github.com/microsoft/FLAML/pull/809
Edit the announcement of AAAI-23 tutorial and the KDD tutorial announcement. by @HangHouCheong in https://github.com/microsoft/FLAML/pull/820
Use get to avoid KeyError by @sonichi in https://github.com/microsoft/FLAML/pull/824
Update doc by @skzhang1 in https://github.com/microsoft/FLAML/pull/843
fix bug related to choice by @sonichi in https://github.com/microsoft/FLAML/pull/848
FAQ about OOM by @sonichi in https://github.com/microsoft/FLAML/pull/849
Update .NET documentation links by @luisquintanilla in https://github.com/microsoft/FLAML/pull/847
Added an info reminding user that if no timebudget and no maxiter is specified, then effectively zero-shot AutoML is used by @jingdong00 in https://github.com/microsoft/FLAML/pull/850
Fix example tune-pytorch where the checkpoint path may be named differently by @jingdong00 in https://github.com/microsoft/FLAML/pull/853
Format errors on the web. by @skzhang1 in https://github.com/microsoft/FLAML/pull/855
Add supporting using Spark as the backend of parallel training by @thinkall in https://github.com/microsoft/FLAML/pull/846
Info and naming by @sonichi in https://github.com/microsoft/FLAML/pull/864

New Contributors

@thinkall made their first contribution in https://github.com/microsoft/FLAML/pull/828
@markharley made their first contribution in https://github.com/microsoft/FLAML/pull/809
@HangHouCheong made their first contribution in https://github.com/microsoft/FLAML/pull/820

Full Changelog: https://github.com/microsoft/FLAML/compare/v1.0.14...v1.1.0

- Jupyter Notebook
Published by sonichi over 3 years ago

flaml - v1.0.14

Highlights

Preparing alpha release of multi-objective hyperparameter tuning with lexicographic preference.
Fixed issues related to zero-shot automl.
Multiple improvements to documentation.

What's Changed

Discord Badge Added by @royninja in https://github.com/microsoft/FLAML/pull/760
fix bug in current nlp documentation by @liususan091219 in https://github.com/microsoft/FLAML/pull/763
Multiple objectives hyperparameter tuning with lexicographic preference by @Anonymous-submission-repo in https://github.com/microsoft/FLAML/pull/752
Indentation corrected by @Kirito-Excalibur in https://github.com/microsoft/FLAML/pull/778
Included hint to escape brackets for pip setup by @evensure in https://github.com/microsoft/FLAML/pull/786
Docs by @velezbeltran in https://github.com/microsoft/FLAML/pull/765
Bump actions/setup-python from 2 to 4 by @dependabot in https://github.com/microsoft/FLAML/pull/700
Bump codecov/codecov-action from 1 to 3 by @dependabot in https://github.com/microsoft/FLAML/pull/697
Removed extra | in documentation by @satya-vinay in https://github.com/microsoft/FLAML/pull/790
fix_alert by @skzhang1 in https://github.com/microsoft/FLAML/pull/793
Fixed typo by @ElinaAndreeva in https://github.com/microsoft/FLAML/pull/797
fix_alerts by @skzhang1 in https://github.com/microsoft/FLAML/pull/799
Documentation about classification/regression task #753 by @royninja in https://github.com/microsoft/FLAML/pull/802
Added a link to documentation webpage in notebook timeseriesforcast by @jingdong00 in https://github.com/microsoft/FLAML/pull/791
Fix issues related to zero-shot automl by @sonichi in https://github.com/microsoft/FLAML/pull/783
added the models used for forecasting in documentation by @shreyas36 in https://github.com/microsoft/FLAML/pull/811
Add performance test for LexiFlow by @Anonymous-submission-repo in https://github.com/microsoft/FLAML/pull/812

New Contributors

@royninja made their first contribution in https://github.com/microsoft/FLAML/pull/760
@Anonymous-submission-repo made their first contribution in https://github.com/microsoft/FLAML/pull/752
@Kirito-Excalibur made their first contribution in https://github.com/microsoft/FLAML/pull/778
@evensure made their first contribution in https://github.com/microsoft/FLAML/pull/786
@velezbeltran made their first contribution in https://github.com/microsoft/FLAML/pull/765
@satya-vinay made their first contribution in https://github.com/microsoft/FLAML/pull/790
@ElinaAndreeva made their first contribution in https://github.com/microsoft/FLAML/pull/797
@jingdong00 made their first contribution in https://github.com/microsoft/FLAML/pull/791
@shreyas36 made their first contribution in https://github.com/microsoft/FLAML/pull/811

Full Changelog: https://github.com/microsoft/FLAML/compare/v1.0.13...v1.0.14

- Jupyter Notebook
Published by sonichi over 3 years ago

flaml - v1.0.13

Highlights

Logging the search_state.config directly to MLflow instead of key-dictionary pair
Move searcher and scheduler into tune
Move import location for Ray 2
Fix NLP dimension mismatch bug

What's Changed

Dockerfile building problem by @skzhang1 in https://github.com/microsoft/FLAML/pull/719
Update Contribute.md by @vijaya-lakshmi-venkatraman in https://github.com/microsoft/FLAML/pull/716
Move import location for Ray 2 by @sonichi in https://github.com/microsoft/FLAML/pull/721
Fix issue 728 add hyperlink to GitHub location by @Libens-bufo in https://github.com/microsoft/FLAML/pull/731
Update model.py by @vijaya-lakshmi-venkatraman in https://github.com/microsoft/FLAML/pull/739
Issue724 by @liususan091219 in https://github.com/microsoft/FLAML/pull/745
log search_state.config directly instead of under tag config by @prithvikannan in https://github.com/microsoft/FLAML/pull/747
move searcher and scheduler into tune by @sonichi in https://github.com/microsoft/FLAML/pull/746
updating the data collator for seq-regression to handle the dim mismatch problem by @liususan091219 in https://github.com/microsoft/FLAML/pull/751
Update Contribute by @sonichi in https://github.com/microsoft/FLAML/pull/741
Remove NLP classification head by @liususan091219 in https://github.com/microsoft/FLAML/pull/756

New Contributors

@vijaya-lakshmi-venkatraman made their first contribution in https://github.com/microsoft/FLAML/pull/716
@Libens-bufo made their first contribution in https://github.com/microsoft/FLAML/pull/731
@prithvikannan made their first contribution in https://github.com/microsoft/FLAML/pull/747

Full Changelog: https://github.com/microsoft/FLAML/compare/v1.0.12...v1.0.13

- Jupyter Notebook
Published by liususan091219 over 3 years ago

flaml - v1.0.12

Highlights

Fix MLFlow bug to support the case where search.state.metricforlogging is None
Support customized cross-validation strategy
Fix SARIMAX seasonal_order parameter name in the wrapper

Thanks to all the contributors for this release!

What's Changed

chore: Auto update github actions with dependabot by @iemejia in https://github.com/microsoft/FLAML/pull/688
talks and tutorials by @qingyun-wu in https://github.com/microsoft/FLAML/pull/694
updating nlp notebook by @liususan091219 in https://github.com/microsoft/FLAML/pull/693
"intermediate_results" TypeError: argument of type 'NoneType' is not iterable by @liususan091219 in https://github.com/microsoft/FLAML/pull/695
Update Research.md by @sonichi in https://github.com/microsoft/FLAML/pull/701
Bump actions/setup-node from 2 to 3 by @dependabot in https://github.com/microsoft/FLAML/pull/698
Bump actions/cache from 1 to 3 by @dependabot in https://github.com/microsoft/FLAML/pull/696
Support customized cross-validation strategy by @skzhang1 in https://github.com/microsoft/FLAML/pull/669
Add $schema to cgmanifest.json by @JamieMagee in https://github.com/microsoft/FLAML/pull/708
Fix SARIMAX seasonal_order parameter name in the wrapper by @EgorKraevTransferwise in https://github.com/microsoft/FLAML/pull/711

New Contributors

@iemejia made their first contribution in https://github.com/microsoft/FLAML/pull/688
@JamieMagee made their first contribution in https://github.com/microsoft/FLAML/pull/708
@EgorKraevTransferwise made their first contribution in https://github.com/microsoft/FLAML/pull/711

Full Changelog: https://github.com/microsoft/FLAML/compare/v1.0.11...v1.0.12

- Jupyter Notebook
Published by liususan091219 almost 4 years ago

flaml - v1.0.11

Highlights

Preserve the checkpoint when deleting AutoML objects.
Create no eval set when setting use_best_model to False for catboost.

What's Changed

add guideline collection by @qingyun-wu in https://github.com/microsoft/FLAML/pull/687
LightGBM notebook update by @sonichi in https://github.com/microsoft/FLAML/pull/690
Add preserve_checkpoint to preserve the checkpoint after del by @liususan091219 in https://github.com/microsoft/FLAML/pull/692
usebestmodel for catboost by @sonichi in https://github.com/microsoft/FLAML/pull/679

Full Changelog: https://github.com/microsoft/FLAML/compare/v1.0.10...v1.0.11

- Jupyter Notebook
Published by liususan091219 almost 4 years ago

flaml - v1.0.10

This release contains several new features to highlight: * A major new feature is to support multiple time series in one dataset with a new task named "tsforecastpanel" and a neural network estimator from pytorch-forecast. * Allow disabling shuffle for custom splitter. * Allow explicit specification of whether the choices of a hp have an inherent order. * Allow skipping data transformation to avoid overhead. * Support AzureML pipeline tuning. * Allow log file name to be specified in tune.run and perform logging when ray is used.

There are other improvements for the transformer estimator and bug fixes for config constraints.

What's Changed

Fixing the issue that FLAML trial number is significantly smaller than Transformers.hyperparameter_search by @liususan091219 in https://github.com/microsoft/FLAML/pull/657
make test result more stable by @sonichi in https://github.com/microsoft/FLAML/pull/646
Add pipeline tuner component and dependencies. by @ruizhuanguw in https://github.com/microsoft/FLAML/pull/671
Skip transform by @jmrichardson in https://github.com/microsoft/FLAML/pull/665
pull request template by @sonichi in https://github.com/microsoft/FLAML/pull/668
Update Research.md by @liususan091219 in https://github.com/microsoft/FLAML/pull/672
Documentation on search space and parallel/sequential tuning by @qingyun-wu in https://github.com/microsoft/FLAML/pull/675
time series forecasting with panel datasets by @int-chaos in https://github.com/microsoft/FLAML/pull/541
categorical choice can be ordered or unordered by @sonichi in https://github.com/microsoft/FLAML/pull/677
Disable shuffle for custom CV by @jmrichardson in https://github.com/microsoft/FLAML/pull/659
update time series forecast notebook by @int-chaos in https://github.com/microsoft/FLAML/pull/682
check config constraints for the initial config by @sonichi in https://github.com/microsoft/FLAML/pull/685
logfilename in tune.run() by @sonichi in https://github.com/microsoft/FLAML/pull/681
updating nlp notebook by @liususan091219 in https://github.com/microsoft/FLAML/pull/683
VW version requirement and documentation on configconstraints vs metricconstraints by @qingyun-wu in https://github.com/microsoft/FLAML/pull/686

New Contributors

@jmrichardson made their first contribution in https://github.com/microsoft/FLAML/pull/665

Full Changelog: https://github.com/microsoft/FLAML/compare/v1.0.9...v1.0.10

- Jupyter Notebook
Published by sonichi almost 4 years ago

flaml - v1.0.9

Highlight

Add the feature names and importance in AutoML
Update NLP search space and fix several bugs in NLP tasks
Respect kwargs in AutoML.predict()

What's Changed

Feature names and importances by @sonichi in https://github.com/microsoft/FLAML/pull/621
fix NER roberta bug by @liususan091219 in https://github.com/microsoft/FLAML/pull/632
updating search space by @liususan091219 in https://github.com/microsoft/FLAML/pull/633
Bump terser from 5.10.0 to 5.14.2 in /website by @dependabot in https://github.com/microsoft/FLAML/pull/642
This PR fixes the frequent NLP bugs in the other PRs by @liususan091219 in https://github.com/microsoft/FLAML/pull/647
added "**kwargs" to "predict" by @zzheng93 in https://github.com/microsoft/FLAML/pull/641
Fix alerts by @skzhang1 in https://github.com/microsoft/FLAML/pull/644
Update .NET documentation by @luisquintanilla in https://github.com/microsoft/FLAML/pull/643
Fix HPO evaluation bug by @liususan091219 in https://github.com/microsoft/FLAML/pull/645

New Contributors

@dependabot made their first contribution in https://github.com/microsoft/FLAML/pull/642
@zzheng93 made their first contribution in https://github.com/microsoft/FLAML/pull/641
@luisquintanilla made their first contribution in https://github.com/microsoft/FLAML/pull/643

Full Changelog: https://github.com/microsoft/FLAML/compare/v1.0.8...v1.0.9

- Jupyter Notebook
Published by liususan091219 almost 4 years ago

flaml - v1.0.8

Support latest xgboost version
Reproducibility improvement for blendsearch
Allow custom GroupKFold object as split_type
Bug fix in token classification tasks such as NER
Allow FLAMLsamplesize in starting_points

What's Changed

log msg about ensemble by @sonichi in https://github.com/microsoft/FLAML/pull/597
support latest xgboost version by @sonichi in https://github.com/microsoft/FLAML/pull/599
Fix automl settings in scikit-learn pipeline integration example by @ZviBaratz in https://github.com/microsoft/FLAML/pull/602
update got version by @sonichi in https://github.com/microsoft/FLAML/pull/607
min eci depends on costattr; costattr in ls by @sonichi in https://github.com/microsoft/FLAML/pull/612
Replaced !pip calls with %pip magic command by @ZviBaratz in https://github.com/microsoft/FLAML/pull/604
cath URLError by @sonichi in https://github.com/microsoft/FLAML/pull/613
Updated pre-commit hooks by @ZviBaratz in https://github.com/microsoft/FLAML/pull/609
Py36 by @sonichi in https://github.com/microsoft/FLAML/pull/614
Allow custom GroupKFold object as split_type by @sonichi in https://github.com/microsoft/FLAML/pull/616
Typo fix by @ZviBaratz in https://github.com/microsoft/FLAML/pull/618
use relative url in doc by @sonichi in https://github.com/microsoft/FLAML/pull/620
This PR will solve issue, code example format in the doc #622 by @31Sanskrati in https://github.com/microsoft/FLAML/pull/623
fix ner bug; refactor post processing of TransformersEstimator prediction by @liususan091219 in https://github.com/microsoft/FLAML/pull/615
isinstance(x, int) -> isinstance(x, (int, np.integer)) by @liususan091219 in https://github.com/microsoft/FLAML/pull/627
Allow FLAMLsamplesize in starting_points by @qingyun-wu in https://github.com/microsoft/FLAML/pull/619
disable max_len for ner by @liususan091219 in https://github.com/microsoft/FLAML/pull/629
fix #630 by @adi611 in https://github.com/microsoft/FLAML/pull/631

New Contributors

@ZviBaratz made their first contribution in https://github.com/microsoft/FLAML/pull/602
@31Sanskrati made their first contribution in https://github.com/microsoft/FLAML/pull/623
@adi611 made their first contribution in https://github.com/microsoft/FLAML/pull/631

Full Changelog: https://github.com/microsoft/FLAML/compare/v1.0.7...v1.0.8

- Jupyter Notebook
Published by sonichi almost 4 years ago

flaml - v1.0.7

Add support of Python 3.10.
Enable ensemble when using ray.
Enable nested tuning runs.
Made BlendSearch reproducible when constructed outside tune.run().
Fix resource limit issue in some macos version.
Bug fix in nlp.
Make setsearchproperties() compatible with ray tune.

What's Changed

enable ensemble when using ray by @sonichi in https://github.com/microsoft/FLAML/pull/583
update time from start when using ray by @sonichi in https://github.com/microsoft/FLAML/pull/586
Class variables, cost_attr, and reproducibility by @qingyun-wu in https://github.com/microsoft/FLAML/pull/587
backup & recover global vars for nested tune.run by @sonichi in https://github.com/microsoft/FLAML/pull/584
fixing a bug in nlp/utils.py by @liususan091219 in https://github.com/microsoft/FLAML/pull/590
fix resource limit issue by @sonichi in https://github.com/microsoft/FLAML/pull/589
Modified setup instructions by @daniel-555 in https://github.com/microsoft/FLAML/pull/593
Add python 3.10 in the CI by @sonichi in https://github.com/microsoft/FLAML/pull/591
trying to fix the indexerror for ner by @liususan091219 in https://github.com/microsoft/FLAML/pull/596
Update documentation for NLP by @liususan091219 in https://github.com/microsoft/FLAML/pull/594
setsearchproperties by @sonichi in https://github.com/microsoft/FLAML/pull/595

New Contributors

@daniel-555 made their first contribution in https://github.com/microsoft/FLAML/pull/593

Full Changelog: https://github.com/microsoft/FLAML/compare/v1.0.6...v1.0.7

- Jupyter Notebook
Published by sonichi about 4 years ago

flaml - v1.0.6

What's Changed

init value type match by @sonichi in https://github.com/microsoft/FLAML/pull/575

Full Changelog: https://github.com/microsoft/FLAML/compare/v1.0.5...v1.0.6

- Jupyter Notebook
Published by sonichi about 4 years ago

flaml - v1.0.5

What's Changed

fixing trainable and update function, completing NOTE by @liususan091219 in https://github.com/microsoft/FLAML/pull/566
Update fitkwargsby_estimator example in Task-Oriented-AutoML.md by @liususan091219 in https://github.com/microsoft/FLAML/pull/561
add zeroshot notebook by @sonichi in https://github.com/microsoft/FLAML/pull/569
set holiday version <0.14 for prophet by @sonichi in https://github.com/microsoft/FLAML/pull/573
Updated doc by @PrajwalBorkar in https://github.com/microsoft/FLAML/pull/572
install openml for notebook example by @sonichi in https://github.com/microsoft/FLAML/pull/574

Full Changelog: https://github.com/microsoft/FLAML/compare/v1.0.4...v1.0.5

- Jupyter Notebook
Published by sonichi about 4 years ago

flaml - v1.0.4

What's Changed

Update documentation for FAQ about how to handle imbalanced data by @liususan091219 in https://github.com/microsoft/FLAML/pull/560
update doc about scheduler exception by @sonichi in https://github.com/microsoft/FLAML/pull/564
version update by @sonichi in https://github.com/microsoft/FLAML/pull/567

Full Changelog: https://github.com/microsoft/FLAML/compare/v1.0.3...v1.0.4

- Jupyter Notebook
Published by sonichi about 4 years ago

flaml - v1.0.3

Data files needed for zero-shot AutoML are included in this release. When no search budget is given via timebudget/maxiter, zero-shot automl is used automatically.

What's Changed

align indent and add missing quotation by @sonichi in https://github.com/microsoft/FLAML/pull/555
solve issue #542. fix pickle.UnpickingError while blendsearch warm start by @LinWencong in https://github.com/microsoft/FLAML/pull/554
Documentation, test and bugfix by @qingyun-wu in https://github.com/microsoft/FLAML/pull/556
Removed cathpcost by @PrajwalBorkar in https://github.com/microsoft/FLAML/pull/559
Update Tune-User-Defined-Function.md by @sonichi in https://github.com/microsoft/FLAML/pull/562
use zeroshot when no budget is given; custom_hp by @sonichi in https://github.com/microsoft/FLAML/pull/563
simplify warmstart in blendsearch by @sonichi in https://github.com/microsoft/FLAML/pull/558
include .json file in flaml.default package by @sonichi in https://github.com/microsoft/FLAML/pull/565

New Contributors

@LinWencong made their first contribution in https://github.com/microsoft/FLAML/pull/554
@PrajwalBorkar made their first contribution in https://github.com/microsoft/FLAML/pull/559

Full Changelog: https://github.com/microsoft/FLAML/compare/v1.0.2...v1.0.3

- Jupyter Notebook
Published by sonichi about 4 years ago

flaml - v1.0.2

What's Changed

docstr cleanup #523: removed lines 259 to 260 in a1c49ca by @elbowgreasel in https://github.com/microsoft/FLAML/pull/524
refactoring TransformersEstimator to support default and custom_hp by @liususan091219 in https://github.com/microsoft/FLAML/pull/511
Bump cross-fetch from 3.1.4 to 3.1.5 in /website by @sonichi in https://github.com/microsoft/FLAML/pull/529
fixing use_ray in automl.py by @liususan091219 in https://github.com/microsoft/FLAML/pull/531
handle non-flaml scheduler in flaml.tune by @qingyun-wu in https://github.com/microsoft/FLAML/pull/532
test reproducibility from retrain by @sonichi in https://github.com/microsoft/FLAML/pull/533
fix the post-processing bug in NER by @liususan091219 in https://github.com/microsoft/FLAML/pull/534
fixing roberta addprefixspace bug by @liususan091219 in https://github.com/microsoft/FLAML/pull/546
choose njobs for ensemble according to njobs per learner by @sonichi in https://github.com/microsoft/FLAML/pull/551
Quick-fix by @Qiaochu-Song in https://github.com/microsoft/FLAML/pull/539
fix indentation in automl.py by @harish445 in https://github.com/microsoft/FLAML/pull/553

New Contributors

@elbowgreasel made their first contribution in https://github.com/microsoft/FLAML/pull/524
@Qiaochu-Song made their first contribution in https://github.com/microsoft/FLAML/pull/539
@harish445 made their first contribution in https://github.com/microsoft/FLAML/pull/553

Full Changelog: https://github.com/microsoft/FLAML/compare/v1.0.1...v1.0.2

- Jupyter Notebook
Published by sonichi about 4 years ago

flaml - v1.0.1

What's Changed

use ffill in forecasting example by @sonichi in https://github.com/microsoft/FLAML/pull/508
Handling fractional gpupertrial for NLP by @liususan091219 in https://github.com/microsoft/FLAML/pull/513
Fix AttributeError: readonly attribute for Python 3.10.4 by @jayshanker2000 in https://github.com/microsoft/FLAML/pull/518
max choice is n-1 by @sonichi in https://github.com/microsoft/FLAML/pull/521
allow evaluatedrewards shorter than pointsto_evaluate by @sonichi in https://github.com/microsoft/FLAML/pull/522

New Contributors

@jayshanker2000 made their first contribution in https://github.com/microsoft/FLAML/pull/518

Full Changelog: https://github.com/microsoft/FLAML/compare/v1.0.0...v1.0.1

- Jupyter Notebook
Published by sonichi about 4 years ago

flaml - v1.0.0

What's Changed

zero-shot AutoML in readme by @sonichi in https://github.com/microsoft/FLAML/pull/474
update documentation for time series forecasting by @int-chaos in https://github.com/microsoft/FLAML/pull/472
metric constraints in flaml.automl by @qingyun-wu in https://github.com/microsoft/FLAML/pull/479
import from lightgbm by @sonichi in https://github.com/microsoft/FLAML/pull/489
fixing bug for ner by @liususan091219 in https://github.com/microsoft/FLAML/pull/463
doc update (#490) by @sonichi in https://github.com/microsoft/FLAML/pull/492
adding evaluation by @liususan091219 in https://github.com/microsoft/FLAML/pull/495
version number and doc by @sonichi in https://github.com/microsoft/FLAML/pull/497
fixing a few bugs in nlp by @liususan091219 in https://github.com/microsoft/FLAML/pull/503
Bug fix and add documentation for metric_constraints by @qingyun-wu in https://github.com/microsoft/FLAML/pull/498
fixing some bug in NLP by @liususan091219 in https://github.com/microsoft/FLAML/pull/506
handle failing trials by @sonichi in https://github.com/microsoft/FLAML/pull/505
Update notebook and test by @qingyun-wu in https://github.com/microsoft/FLAML/pull/507
Bump minimist from 1.2.5 to 1.2.6 in /website by @sonichi in https://github.com/microsoft/FLAML/pull/502

Full Changelog: https://github.com/microsoft/FLAML/compare/v0.10.0...v1.0.0

- Jupyter Notebook
Published by sonichi over 4 years ago

flaml - v0.10.0

This release contains an important new feature: zero-shot AutoML and mete learning. It provides a new way of doing AutoML without tuning. You can now use the existing training API from lightgbm, xgboost etc. while getting the benefit of AutoML in choosing high-performance hyperparameter configurations per task. Recommended for everyone currently using lightgbm, xgboost or random forest, regardless of previous experience in AutoML. This feature also enables continuous improvement of AutoML from historical AutoML experiments.

Other changes can be found below.

What's Changed

Typo on the webpage's Getting Started section by @cammarb in https://github.com/microsoft/FLAML/pull/457
Bump follow-redirects from 1.14.7 to 1.14.8 in /website by @sonichi in https://github.com/microsoft/FLAML/pull/459
Docstr update by @qingyun-wu in https://github.com/microsoft/FLAML/pull/460
update regression metrics in notebooks by @sonichi in https://github.com/microsoft/FLAML/pull/454
make AutoML.classes_ an array by @sonichi in https://github.com/microsoft/FLAML/pull/467
Bump prismjs from 1.25.0 to 1.27.0 in /website by @sonichi in https://github.com/microsoft/FLAML/pull/471
Zero-shot AutoML by @sonichi in https://github.com/microsoft/FLAML/pull/468
don't init global search with pointstoevaluate unless evaluated_rewards is provided; handle callbacks in fit kwargs by @sonichi in https://github.com/microsoft/FLAML/pull/469

New Contributors

@cammarb made their first contribution in https://github.com/microsoft/FLAML/pull/457

Full Changelog: https://github.com/microsoft/FLAML/compare/v0.9.7...v0.10.0

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Published by sonichi over 4 years ago

flaml - v0.9.7

What's Changed

Update Task-Oriented-AutoML.md by @vvijayalakshmi21 in https://github.com/microsoft/FLAML/pull/446
Update Task-Oriented-AutoML.md by @vvijayalakshmi21 in https://github.com/microsoft/FLAML/pull/447
Update Tune-User-Defined-Function.md by @vvijayalakshmi21 in https://github.com/microsoft/FLAML/pull/448
corrected typo in example xgboost documentation by @MichaelMarien in https://github.com/microsoft/FLAML/pull/449
bump ray version to 1.10 by @sonichi in https://github.com/microsoft/FLAML/pull/450
fix a bug when using ray & update ray on aml by @sonichi in https://github.com/microsoft/FLAML/pull/455

New Contributors

@vvijayalakshmi21 made their first contribution in https://github.com/microsoft/FLAML/pull/446

Full Changelog: https://github.com/microsoft/FLAML/compare/v0.9.6...v0.9.7

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Published by sonichi over 4 years ago

flaml - v0.9.6

What's Changed

reducing AutoConfig.from_pretrained by @liususan091219 in https://github.com/microsoft/FLAML/pull/411
Set use_ray to True for logging to databricks by @liususan091219 in https://github.com/microsoft/FLAML/pull/414
Bump nanoid from 3.1.30 to 3.2.0 in /website by @sonichi in https://github.com/microsoft/FLAML/pull/420
bump version of node-fetch to 3.1.1 in website/ by @sonichi in https://github.com/microsoft/FLAML/pull/423
Use Ray _BackwardsCompatibleNumpyRng if possible by @Yard1 in https://github.com/microsoft/FLAML/pull/421
remove FLAML sample size from config by @sonichi in https://github.com/microsoft/FLAML/pull/418
max_iter < 2 -> no search; sign in metric constraints; test and example for forecasting by @sonichi in https://github.com/microsoft/FLAML/pull/415
remove redundant imports by @liususan091219 in https://github.com/microsoft/FLAML/pull/426
Support time series forecasting for discrete target variable by @int-chaos in https://github.com/microsoft/FLAML/pull/416
homepage update by @sonichi in https://github.com/microsoft/FLAML/pull/425
fix a broken link in README.md by @m13uz in https://github.com/microsoft/FLAML/pull/439
adding catch for HTTP error by @liususan091219 in https://github.com/microsoft/FLAML/pull/432
Change the upper bound for "lags" hyperparameter for sklearn forecast models by @int-chaos in https://github.com/microsoft/FLAML/pull/437
Gpu support for xgboost by @sonichi in https://github.com/microsoft/FLAML/pull/442
data in csv by @sonichi in https://github.com/microsoft/FLAML/pull/430
note about preview feature by @sonichi in https://github.com/microsoft/FLAML/pull/431

New Contributors

@m13uz made their first contribution in https://github.com/microsoft/FLAML/pull/439

Full Changelog: https://github.com/microsoft/FLAML/compare/v0.9.5...v0.9.6

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Published by sonichi over 4 years ago

flaml - v0.9.5

What's Changed

fixing load best model at the end by @liususan091219 in https://github.com/microsoft/FLAML/pull/389
Regression forecast debug by @int-chaos in https://github.com/microsoft/FLAML/pull/391
set verbose for transformers by @liususan091219 in https://github.com/microsoft/FLAML/pull/392
Logging multiple checkpoints by @liususan091219 in https://github.com/microsoft/FLAML/pull/394
postcss version update by @sonichi in https://github.com/microsoft/FLAML/pull/385
fixing default metric for regression + change verbosity for transformers by @liususan091219 in https://github.com/microsoft/FLAML/pull/397
fix issues in logging, bug in space.py, constraint sign, and improve code coverage by @sonichi in https://github.com/microsoft/FLAML/pull/388
moving intermediate_results logging from model.py to huggingface/trainer.py by @liususan091219 in https://github.com/microsoft/FLAML/pull/403
Update flaml/nlp/README.md by @liususan091219 in https://github.com/microsoft/FLAML/pull/404
Logo by @qingyun-wu in https://github.com/microsoft/FLAML/pull/399
update browser icon by @qingyun-wu in https://github.com/microsoft/FLAML/pull/407
adding logging of training loss by @liususan091219 in https://github.com/microsoft/FLAML/pull/406
Bump shelljs from 0.8.4 to 0.8.5 in /website by @sonichi in https://github.com/microsoft/FLAML/pull/402
Sklearn api x by @MichaelMarien in https://github.com/microsoft/FLAML/pull/405

New Contributors

@MichaelMarien made their first contribution in https://github.com/microsoft/FLAML/pull/405

Full Changelog: https://github.com/microsoft/FLAML/compare/v0.9.4...v0.9.5

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Published by sonichi over 4 years ago

flaml - v0.9.4

This release enables regression models for time series forecasting. It also fixes bugs in nlp tasks, such as serialization of transformer models and automatic metrics.

What's Changed

citation file by @sonichi in https://github.com/microsoft/FLAML/pull/364
Fix several issues for nlp tasks by @sonichi in https://github.com/microsoft/FLAML/pull/380
serialize TransformerEstimator by @sonichi in https://github.com/microsoft/FLAML/pull/381
Time series forecasting with sklearn regressors by @int-chaos in https://github.com/microsoft/FLAML/pull/362
fixing auto metric bug by @liususan091219 in https://github.com/microsoft/FLAML/pull/387

Full Changelog: https://github.com/microsoft/FLAML/compare/v0.9.3...v0.9.4

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Published by sonichi over 4 years ago

flaml - v0.9.3

What's Changed

Finish the Multiple Choice Classification by @oberonbot in https://github.com/microsoft/FLAML/pull/367
logging by @sonichi in https://github.com/microsoft/FLAML/pull/371
adding token classification by @liususan091219 and @siddheshshaji in https://github.com/microsoft/FLAML/pull/376

New Contributors

@oberonbot and @siddheshshaji made their first contribution in https://github.com/microsoft/FLAML/pull/367

Full Changelog: https://github.com/microsoft/FLAML/compare/v0.9.2...v0.9.3

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Published by sonichi over 4 years ago

flaml - v0.9.2

New Features:

New task: text summarization
Reproducibility of hyperparameter search sequence
Run flaml in azureml + ray

What's Changed

url update for doc edit by @sonichi in https://github.com/microsoft/FLAML/pull/345
Adding the NLP task summarization by @liususan091219 @XinZofStevens @GideonWu0105 in https://github.com/microsoft/FLAML/pull/346
reproducibility for random sampling by @sonichi in https://github.com/microsoft/FLAML/pull/349
doc update by @sonichi in https://github.com/microsoft/FLAML/pull/352
azureml + ray by @sonichi in https://github.com/microsoft/FLAML/pull/344
Fixing the bug in custom metric by @liususan091219 in https://github.com/microsoft/FLAML/pull/356
Simplify lgbm example by @ruizhuanguw in https://github.com/microsoft/FLAML/pull/358
fixing custom metric by @liususan091219 in https://github.com/microsoft/FLAML/pull/357
Example by @sonichi in https://github.com/microsoft/FLAML/pull/359

New Contributors

@ruizhuanguw @XinZofStevens @GideonWu0105 made their first contribution in https://github.com/microsoft/FLAML/pull/358

Full Changelog: https://github.com/microsoft/FLAML/compare/v0.9.1...v0.9.2

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Published by sonichi over 4 years ago

flaml - v0.9.1

This release contains several feature improvements and bug fixes. For example, * support for custom data splitter. * evaluationfunction can receive incumbent result in local search and perform domain-specific early stopping by comparing with the incumbent result. As long as the comparison result (better or worse) is known, the evaluation can be stopped. * support and automate huggingface metrics. * use cfo in tune.run if bs is not installed. * fixed a bug in modifying nestimators to satisfy constraints. * new documentation website.

What's Changed

Update flamlpytorchcifar10.ipynb by @sonichi in https://github.com/microsoft/FLAML/pull/328
adding HF metrics by @liususan091219 in https://github.com/microsoft/FLAML/pull/335
train at least one iter when not trained by @sonichi in https://github.com/microsoft/FLAML/pull/336
use cfo in tune.run if bs is not installed by @sonichi in https://github.com/microsoft/FLAML/pull/334
Makes the evaluation_function could receive the incumbent best result as input in Tune by @Shao-kun-Zhang in https://github.com/microsoft/FLAML/pull/339
support for customized splitters by @wuchihsu in https://github.com/microsoft/FLAML/pull/333
Deploy a new doc website by @sonichi, @qingyun-wu and @Shao-kun-Zhang in https://github.com/microsoft/FLAML/pull/338
version update by @sonichi in https://github.com/microsoft/FLAML/pull/341

New Contributors

@Shao-kun-Zhang made their first contribution in https://github.com/microsoft/FLAML/pull/339

Full Changelog: https://github.com/microsoft/FLAML/compare/v0.9.0...v0.9.1

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Published by sonichi over 4 years ago

flaml - v0.9.0

Revise flaml.tune API
Add a “scheduler” argument (a user can choose from “flaml”, “asha” or a customized scheduler)
Rename "pruneattr" to "resourceattr"
Rename “trainingfunction” to “evaluationfunction”
Remove the “reportintermediateresult” argument (covered by “scheduler” instead)
Add tests for the supported schedulers
Re-run notebooks that use schedulers
Add savebestconfig() to save best config in a json file

What's Changed

add savebestconfig() by @sonichi in https://github.com/microsoft/FLAML/pull/324
tune api for schedulers by @qingyun-wu in https://github.com/microsoft/FLAML/pull/322
add init.py in nlp by @sonichi in https://github.com/microsoft/FLAML/pull/325
rename training_function by @qingyun-wu in https://github.com/microsoft/FLAML/pull/327

Full Changelog: https://github.com/microsoft/FLAML/compare/v0.8.2...v0.9.0

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Published by qingyun-wu over 4 years ago

flaml - v0.8.2

What's Changed

include default value in rf search space by @sonichi in https://github.com/microsoft/FLAML/pull/317
adding TODOs for NLP module, so students can implement other tasks easier by @liususan091219 in https://github.com/microsoft/FLAML/pull/321
predtimelimit clarification and logging by @sonichi in https://github.com/microsoft/FLAML/pull/319
bug fix in confg2params by @sonichi in https://github.com/microsoft/FLAML/pull/323

Full Changelog: https://github.com/microsoft/FLAML/compare/v0.8.1...v0.8.2

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Published by sonichi over 4 years ago

flaml - v0.8.1

What's Changed

Update test_regression.py by @fengsxy in https://github.com/microsoft/FLAML/pull/306
Add conda forge minimal test by @MichalChromcak in https://github.com/microsoft/FLAML/pull/309
fixing config2params for transformersestimator by @liususan091219 in https://github.com/microsoft/FLAML/pull/316
Code quality improvement based on #275 by @abnsy and @sonichi in https://github.com/microsoft/FLAML/pull/313
skip cv preparation if eval_method is holdout by @sonichi in https://github.com/microsoft/FLAML/pull/314

New Contributors

@fengsxy made their first contribution in https://github.com/microsoft/FLAML/pull/306
@abnsy made their first contribution in https://github.com/microsoft/FLAML/pull/313

Full Changelog: https://github.com/microsoft/FLAML/compare/v0.8.0...v0.8.1

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Published by sonichi over 4 years ago

flaml - v0.8.0

In this release, we add two nlp tasks: sequence classification and sequence regression to flaml.AutoML, using transformer-based neural networks. Previously the nlp module was detached from flaml.AutoML with a separate API. We redesigned the API such that the nlp tasks can be accessed from the same API as other tasks, and adding more nlp tasks in future would be easy. Thanks for the hard work @liususan091219 !

We've also continued to make more performance & feature improvements. Examples: * We added a variation of XGBoost search space which uses limited max_depth. It includes the default configuration from XGBoost library. The new search space leads to significantly better performance for some regression datasets. * We allow arguments for flaml.AutoML to be passed to the constructor. This enables multioutput regression by combining sklearn's MultioutputRegressor and flaml's AutoML. * We made more memory optimization, while allowing users to keep the best model per estimator in memory through the "model_history" option.

What's Changed

Unify regression and classification for XGBoost by @sonichi in https://github.com/microsoft/FLAML/pull/276
when maxiter=1, skip search only if retrainfinal by @sonichi in https://github.com/microsoft/FLAML/pull/280
example update by @sonichi in https://github.com/microsoft/FLAML/pull/281
Merge exp into flaml by @liususan091219 in https://github.com/microsoft/FLAML/pull/210
add bestlossper_estimator by @qingyun-wu in https://github.com/microsoft/FLAML/pull/286
modelhistory -> savebestmodelper_estimator by @sonichi in https://github.com/microsoft/FLAML/pull/283
datetime feature engineering by @sonichi in https://github.com/microsoft/FLAML/pull/285
add warmstart test by @qingyun-wu in https://github.com/microsoft/FLAML/pull/298
empty search space by @sonichi in https://github.com/microsoft/FLAML/pull/295
multioutput regression by @sonichi in https://github.com/microsoft/FLAML/pull/292
add max_depth to xgboost search space by @sonichi in https://github.com/microsoft/FLAML/pull/282
custom metric function clarification by @sonichi in https://github.com/microsoft/FLAML/pull/300
checkpoint naming in nonray mode, fix ray mode, delete checkpoints in nonray mode by @liususan091219 in https://github.com/microsoft/FLAML/pull/293

Full Changelog: https://github.com/microsoft/FLAML/compare/v0.7.1...v0.8.0

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Published by sonichi over 4 years ago

flaml - v0.7.1

What's Changed

make default verbose level > 0 when using ray by @sonichi in https://github.com/microsoft/FLAML/pull/272
default to cfo for single estimator by @sonichi in https://github.com/microsoft/FLAML/pull/273
update docstr by @sonichi and @qingyun-wu in https://github.com/microsoft/FLAML/pull/274
fixed a bug in #278 by @sonichi in https://github.com/microsoft/FLAML/pull/274

Full Changelog: https://github.com/microsoft/FLAML/compare/v0.7.0...v0.7.1

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Published by sonichi over 4 years ago

flaml - v0.7.0

New feature: multivariate time series forecasting.

What's Changed

Fix exception in CFO's _create_condition if all candidate start points didn't return yet by @Yard1 in https://github.com/microsoft/FLAML/pull/263
Integrate multivariate time series forecasting by @int-chaos in https://github.com/microsoft/FLAML/pull/254
Update Dockerfile by @wuchihsu in https://github.com/microsoft/FLAML/pull/269
limit time and memory consumption by @sonichi in https://github.com/microsoft/FLAML/pull/264

New Contributors

@wuchihsu made their first contribution in https://github.com/microsoft/FLAML/pull/269

Full Changelog: https://github.com/microsoft/FLAML/compare/v0.6.9...v0.7.0

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Published by sonichi over 4 years ago

flaml - v0.6.9

What's Changed

no search when max_iter < 2 by @sonichi in https://github.com/microsoft/FLAML/pull/253
fix bug in subspace identification by @sonichi in https://github.com/microsoft/FLAML/pull/257
Add documentation for warm-start by @qingyun-wu in https://github.com/microsoft/FLAML/pull/255

Full Changelog: https://github.com/microsoft/FLAML/compare/v0.6.8...v0.6.9

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Published by sonichi over 4 years ago

flaml - v0.6.8

What's Changed

fix the bug in hierarchical search space (#248); make dependency on lgbm and xgboost optional (#252) by @sonichi in https://github.com/microsoft/FLAML/pull/250
Add conda forge badge by @MichalChromcak in https://github.com/microsoft/FLAML/pull/251

New Contributors

@MichalChromcak made their first contribution in https://github.com/microsoft/FLAML/pull/251

Full Changelog: https://github.com/microsoft/FLAML/compare/v0.6.7...v0.6.8

- Jupyter Notebook
Published by sonichi over 4 years ago

flaml - v0.6.7

What's Changed

remove big objects after fit by @sonichi in https://github.com/microsoft/FLAML/pull/176
remove catboost training dir by @sonichi in https://github.com/microsoft/FLAML/pull/178
Forecast v2 by @int-chaos in https://github.com/microsoft/FLAML/pull/182
Fix decidesplittype bug. by @gianpDomiziani in https://github.com/microsoft/FLAML/pull/184
Cleanml by @qingyun-wu in https://github.com/microsoft/FLAML/pull/185
warmstart blendsearch by @sonichi in https://github.com/microsoft/FLAML/pull/186
variable name by @sonichi in https://github.com/microsoft/FLAML/pull/187
notebook example by @sonichi in https://github.com/microsoft/FLAML/pull/189
make flaml work without catboost by @sonichi in https://github.com/microsoft/FLAML/pull/197
package name in setup by @sonichi in https://github.com/microsoft/FLAML/pull/198
clean up forecast notebook by @sonichi in https://github.com/microsoft/FLAML/pull/202
consider num_samples in bs thread priority by @sonichi in https://github.com/microsoft/FLAML/pull/207
accommodate nni usage pattern by @sonichi in https://github.com/microsoft/FLAML/pull/209
random search by @sonichi in https://github.com/microsoft/FLAML/pull/213
add consistency test by @qingyun-wu in https://github.com/microsoft/FLAML/pull/216
set converge flag when no trial can be sampled by @sonichi in https://github.com/microsoft/FLAML/pull/217
seed for hpo method by @sonichi in https://github.com/microsoft/FLAML/pull/224
update config if n_estimators is modified by @sonichi in https://github.com/microsoft/FLAML/pull/225
warning -> info for low cost partial config by @sonichi in https://github.com/microsoft/FLAML/pull/231
Consistent California by @cdeil in https://github.com/microsoft/FLAML/pull/245
Package by @sonichi in https://github.com/microsoft/FLAML/pull/244

New Contributors

@cdeil made their first contribution in https://github.com/microsoft/FLAML/pull/245

Full Changelog: https://github.com/microsoft/FLAML/compare/v0.6.0...v0.6.7

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Published by sonichi over 4 years ago

flaml - v0.6.6

What's Changed

remove big objects after fit by @sonichi in https://github.com/microsoft/FLAML/pull/176
remove catboost training dir by @sonichi in https://github.com/microsoft/FLAML/pull/178
Forecast v2 by @int-chaos in https://github.com/microsoft/FLAML/pull/182
Fix decidesplittype bug. by @gianpDomiziani in https://github.com/microsoft/FLAML/pull/184
Cleanml by @qingyun-wu in https://github.com/microsoft/FLAML/pull/185
warmstart blendsearch by @sonichi in https://github.com/microsoft/FLAML/pull/186
variable name by @sonichi in https://github.com/microsoft/FLAML/pull/187
notebook example by @sonichi in https://github.com/microsoft/FLAML/pull/189
make flaml work without catboost by @sonichi in https://github.com/microsoft/FLAML/pull/197
package name in setup by @sonichi in https://github.com/microsoft/FLAML/pull/198
clean up forecast notebook by @sonichi in https://github.com/microsoft/FLAML/pull/202
consider num_samples in bs thread priority by @sonichi in https://github.com/microsoft/FLAML/pull/207
accommodate nni usage pattern by @sonichi in https://github.com/microsoft/FLAML/pull/209
random search by @sonichi in https://github.com/microsoft/FLAML/pull/213
add consistency test by @qingyun-wu in https://github.com/microsoft/FLAML/pull/216
set converge flag when no trial can be sampled by @sonichi in https://github.com/microsoft/FLAML/pull/217
seed for hpo method by @sonichi in https://github.com/microsoft/FLAML/pull/224
update config if n_estimators is modified by @sonichi in https://github.com/microsoft/FLAML/pull/225
warning -> info for low cost partial config by @sonichi in https://github.com/microsoft/FLAML/pull/231

Full Changelog: https://github.com/microsoft/FLAML/compare/v0.6.0...v0.6.6

- Jupyter Notebook
Published by sonichi almost 5 years ago

flaml - v0.6.0

In this release, we added support for time series forecasting task and NLP model fine tuning. Also, we have made a large number of feature & performance improvements.

data split by 'time' for time-ordered data, and by 'group' for grouped data.
support parallel trials and random search in AutoML.fit() API.
support warm-start in AutoML.fit() by using previously found start points.
support constraints on training/prediction time per model.
new optimization metric: ROC_AUC for multi-class classification, MAPE for time series forecasting.
utility functions for getting normalized confusion matrices and multi-class ROC or precision-recall curves.
automatically retrain models after search by default; options to disable retraining or enforce time limit.
CFO supports hierarchical search space and uses pointstoevaluate more effectively.
variation of CFO optimized for unordered categorical hps.
BlendSearch improved for better performance in parallel setting.
memory overhead optimization.
search space improvements for random forest and lightgbm.
make stacking ensemble work for categorical features.
python 3.9 support.
experimental support for automated fine-tuning of transformer models from huggingface.
experimental support for time series forecasting.
warnings to suggest increasing time budget, and warning to inform users there is no performance improvement for a long time.

Minor updates - make log file name optional. - notebook for time series forecasting. - notebook for using AutoML in sklearn pipeline. - bug fix when training_function returns a value. - support fixed random seeds to improve reproducibility. - code coverage improvement. - exclusive upper bounds for hyperparameter type randint and lograndint. - experimental features in BlendSearch. - documentation improvement. - bug fixes for multiple logged metrics in cv. - adjust epsilon when time per trial is very fast.

Contributors - @sonichi - @qingyun-wu - @int-chaos - @liususan091219 - @Yard1 - @bnriiitb - @su2umaru - @eduardobull - @sek788432 - @ekzhu - @anshumandutt - @yue-msr - @sadtaf - @fzanartu - @dsbyprateekg - @hanhanwu - @PardeepRassani - @gianpDomiziani - @stepthom - @anhnht3 - @zzheng93 - @flippercy - @luizhemelo - @nabalamu - @lostmygithubaccount - @suryajayaraman

- Jupyter Notebook
Published by sonichi almost 5 years ago

flaml - v0.5.0

Major update: * Online automl. For example, we support tuning online machine learning library vowpal wabbit.

Minor updates: * log best model in mlflow * utility functions to produce normalized confusion matrix and roc or precision-recall curves for each class in multi-class tasks

- Jupyter Notebook
Published by sonichi about 5 years ago

flaml - v0.4.0

Support for general config constraints and metric constraints in hyperparameter tuning

- Jupyter Notebook
Published by sonichi about 5 years ago

flaml - v0.3.5

micro/macro f1 metrics added for multi-classification
simple preprocessing of datetime columns
support lightgbm with customized objective
bug fix in FLOW^2

- Jupyter Notebook
Published by sonichi about 5 years ago

flaml - v0.3.0

Search space improvement
Separation of initial points and low cost partial config in HPO input

- Jupyter Notebook
Published by sonichi over 5 years ago

flaml - v0.2.9

A number of new features and improvements: * pickle the AutoML object * get best model per estimator * bug fix * add verbose argument in AutoML.fit() * nni support * stateless HPO API

- Jupyter Notebook
Published by sonichi over 5 years ago

flaml - v0.2.8

perf improvement for parallel tuning and bug fix

- Jupyter Notebook
Published by sonichi over 5 years ago

flaml - v0.2.6

added support for nested search space added experimental support for nni minor bug fix

- Jupyter Notebook
Published by sonichi over 5 years ago

flaml - v0.2.4

make sample_weight right for ensemble; reduced dependency

- Jupyter Notebook
Published by sonichi over 5 years ago

flaml - v0.2.3

minor bug fix for rf

- Jupyter Notebook
Published by sonichi over 5 years ago

flaml - v0.2.2

Enhanced algorithms and implementations of hyperparameter tuning with support for parallel tuning and ray tune; Support keyword arguments like sample_weight; Enable mlflow logging.

- Jupyter Notebook
Published by sonichi over 5 years ago

flaml - v0.1.3

Set default logging level to INFO

- Jupyter Notebook
Published by sonichi over 5 years ago

flaml - v0.1.2

Hyperparameter + sample size: Cost Frugal Optimization (CFO) + Estimated Cost of Improvement (ECI) Learner selection: ECI Resampling strategy: threshold rule

- Jupyter Notebook
Published by sonichi over 5 years ago

flaml - v0.1.0

First release of FLAML.

Hyperparameter + sample size: Cost Frugal Optimization (CFO) + Estimated Cost of Improvement (ECI) Learner selection: ECI Resampling strategy: threshold rule

- Jupyter Notebook
Published by sonichi over 5 years ago

Recent Releases of flaml

flaml - v2.3.6

What's Changed

flaml - v2.3.5

What's Changed

New Contributors

flaml - v2.3.5

What's Changed

New Contributors

flaml - v2.3.4

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New Contributors

flaml - v2.3.3

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New Contributors

flaml - v2.3.2

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New Contributors

flaml - v2.3.1

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flaml - v2.3.0

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New Contributors

flaml - v2.2.0

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New Contributors

flaml - v2.1.2

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New Contributors

flaml - v2.1.1

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New Contributors

flaml - v2.1.0

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flaml - v2.0.3

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flaml - v2.0.2

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flaml - v2.0.1

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flaml - v2.0.0

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New Contributors

flaml - v2.0.0rc5

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flaml - v2.0.0rc4

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New Contributors

flaml - v2.0.0rc3

Highlights

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New Contributors

flaml - v2.0.0rc2

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What's Changed

New Contributors

flaml - 2.0.0rc1

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New Contributors

flaml - v1.2.4

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New Contributors

flaml - v1.2.3

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New Contributors

flaml - v1.2.2

What's Changed

flaml - v1.2.1

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New Contributors

flaml - v1.2.0

Highlights

What's Changed

New Contributors

flaml - v1.1.3

What's Changed

New Contributors

flaml - v1.1.2

News

What's Changed