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FLAML - v1.1.3

Published by sonichi over 1 year ago

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

FLAML - v1.1.2

Published by qingyun-wu over 1 year ago

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

FLAML - v1.1.1

Published by sonichi almost 2 years ago

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

FLAML - v1.1.0

Published by sonichi almost 2 years ago

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: roc_auc_weighted, roc_auc_ovr_weighted, roc_auc_ovo_weighted.
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 test_hf_data 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
roc_auc_weighted 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 time_budget and no max_iter 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

FLAML - v1.0.14

Published by sonichi almost 2 years ago

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 time_series_forcast 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

FLAML - v1.0.13

Published by liususan091219 about 2 years ago

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

FLAML - v1.0.12

Published by liususan091219 about 2 years ago

Highlights

Fix MLFlow bug to support the case where search.state.metric_for_logging 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

FLAML - v1.0.11

Published by liususan091219 about 2 years ago

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
use_best_model 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

FLAML - v1.0.10

Published by sonichi about 2 years ago

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 "ts_forecast_panel" 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
log_file_name 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 config_constraints vs metric_constraints 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

FLAML - v1.0.9

Published by liususan091219 about 2 years ago

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

FLAML - v1.0.8

Published by sonichi over 2 years ago

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 FLAML_sample_size 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 cost_attr; cost_attr 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 FLAML_sample_size 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

FLAML - v1.0.7

Published by sonichi over 2 years ago

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 set_search_properties() 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
set_search_properties 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

FLAML - v1.0.6

Published by sonichi over 2 years ago

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

FLAML - v1.0.5

Published by sonichi over 2 years ago

What's Changed

fixing trainable and update function, completing NOTE by @liususan091219 in https://github.com/microsoft/FLAML/pull/566
Update fit_kwargs_by_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

FLAML - v1.0.4

Published by sonichi over 2 years ago

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

FLAML - v1.0.3

Published by sonichi over 2 years ago

Data files needed for zero-shot AutoML are included in this release.
When no search budget is given via time_budget/max_iter, 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 cat_hp_cost 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

FLAML - v1.0.2

Published by sonichi over 2 years ago

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 add_prefix_space bug by @liususan091219 in https://github.com/microsoft/FLAML/pull/546
choose n_jobs for ensemble according to n_jobs 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

FLAML - v1.0.1

Published by sonichi over 2 years ago

What's Changed

use ffill in forecasting example by @sonichi in https://github.com/microsoft/FLAML/pull/508
Handling fractional gpu_per_trial 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 evaluated_rewards shorter than points_to_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

FLAML - v1.0.0

Published by sonichi over 2 years ago

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

FLAML - v0.10.0

Published by sonichi over 2 years ago

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.