* Initial plan
* Fix: Preserve FLAML_sample_size in best_config_per_estimator
Modified best_config_per_estimator property to keep FLAML_sample_size when returning best configurations. Previously, AutoMLState.sanitize() was removing this key, which caused the sample size information to be lost when using starting_points from a previous run.
Co-authored-by: thinkall <3197038+thinkall@users.noreply.github.com>
* Add a test to verify the improvement of starting_points
* Update documentation to reflect FLAML_sample_size preservation
Updated Task-Oriented-AutoML.md to document that best_config_per_estimator now preserves FLAML_sample_size:
- Added note in "Warm start" section explaining that FLAML_sample_size is preserved for effective warm-starting
- Added note in "Get best configuration" section with example showing FLAML_sample_size in output
- Explains importance of sample size preservation for continuing optimization with correct sample sizes
Co-authored-by: thinkall <3197038+thinkall@users.noreply.github.com>
* Fix unintended code change
* Improve docstrings and docs
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Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
Co-authored-by: thinkall <3197038+thinkall@users.noreply.github.com>
Co-authored-by: Li Jiang <bnujli@gmail.com>
Co-authored-by: Li Jiang <lijiang1@microsoft.com>
* Simplify automl.fit calls in Best Practices
Removed 'retrain_full' and 'eval_method' parameters from automl.fit calls.
* Fix best practices not shown
* Add best practices
* Update docs to reflect on the recent changes
* Improve model persisting best practices
* Bump version to 2.4.1
* List all estimators
* Remove autogen
* Update dependencies
* Merged PR 1686010: Bump version to 2.3.5.post2, Distribute source and wheel, Fix license-file, Only log better models
- Fix license-file
- Bump version to 2.3.5.post2
- Distribute source and wheel
- Log better models only
- Add artifact_path to register_automl_pipeline
- Improve logging of _automl_user_configurations
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This pull request fixes the project’s configuration by updating the license metadata for compliance with FLAML OSS 2.3.5.
The changes in `/pyproject.toml` update the project’s license and readme metadata by replacing deprecated keys with the new structured fields.
- `/pyproject.toml`: Replaced `license_file` with `license = { text = "MIT" }`.
- `/pyproject.toml`: Replaced `description-file` with `readme = "README.md"`.
<!-- GitOpsUserAgent=GitOps.Apps.Server.pullrequestcopilot -->
Related work items: #4252053
* Merged PR 1688479: Handle feature_importances_ is None, Catch RuntimeError and wait for spark cluster to recover
- Add warning message when feature_importances_ is None (#3982120)
- Catch RuntimeError and wait for spark cluster to recover (#3982133)
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Bug fix.
This pull request prevents an AttributeError in the feature importance plotting function by adding a check for a `None` value with an informative warning message.
- `flaml/fabric/visualization.py`: Checks if `result.feature_importances_` is `None`, logs a warning with possible reasons, and returns early.
- `flaml/fabric/visualization.py`: Imports `logger` from `flaml.automl.logger` to support the warning message.
<!-- GitOpsUserAgent=GitOps.Apps.Server.pullrequestcopilot -->
Related work items: #3982120, #3982133
* Removed deprecated metadata section
* Fix log_params, log_artifact doesn't support run_id in mlflow 2.6.0
* Remove autogen
* Remove autogen
* Remove autogen
* Merged PR 1776547: Fix flaky test test_automl
Don't throw error when time budget is not enough
----
#### AI description (iteration 1)
#### PR Classification
Bug fix addressing a failing test in the AutoML notebook example.
#### PR Summary
This PR fixes a flaky test by adding a conditional check in the AutoML test that prints a message and exits early if no best estimator is set, thereby preventing unpredictable test failures.
- `test/automl/test_notebook_example.py`: Introduced a check to print "Training budget is not sufficient" and return if `automl.best_estimator` is not found.
<!-- GitOpsUserAgent=GitOps.Apps.Server.pullrequestcopilot -->
Related work items: #4573514
* Merged PR 1777952: Fix unrecognized or malformed field 'license-file' when uploading wheel to feed
Try to fix InvalidDistribution: Invalid distribution metadata: unrecognized or malformed field 'license-file'
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Bug fix addressing package metadata configuration.
This pull request fixes the error with unrecognized or malformed license file fields during wheel uploads by updating the setup configuration.
- In `setup.py`, added `license="MIT"` and `license_files=["LICENSE"]` to provide proper license metadata.
<!-- GitOpsUserAgent=GitOps.Apps.Server.pullrequestcopilot -->
Related work items: #4560034
* Cherry-pick Merged PR 1879296: Add support to python 3.12 and spark 4.0
* Cherry-pick Merged PR 1890869: Improve time_budget estimation for mlflow logging
* Cherry-pick Merged PR 1879296: Add support to python 3.12 and spark 4.0
* Disable openai workflow
* Add python 3.12 to test envs
* Manually trigger openai
* Support markdown files with underscore-prefixed file names
* Improve save dependencies
* SynapseML is not installed
* Fix syntax error:Module !flaml/autogen was never imported
* macos 3.12 also hangs
* fix syntax error
* Update python version in actions
* Install setuptools for using pkg_resources
* Fix test_automl_performance in Github actions
* Fix test_nested_run
* Added documentation for automl.model.estimator usage
Updated documentation across various examples and the model.py file to include information about automl.model.estimator. This addition enhances the clarity and usability of FLAML by providing users with clear guidance on how to utilize this feature in their AutoML workflows. These changes aim to improve the overall user experience and facilitate easier understanding of FLAML's capabilities.
* fix: Ran pre-commit hook on docs
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Co-authored-by: Li Jiang <bnujli@gmail.com>
Co-authored-by: Daniel Grindrod <dannycg1996@gmail.com>
Co-authored-by: Daniel Grindrod <Daniel.Grindrod@evotec.com>
* typographical corrections in the descriptions, comment improvements, general formatting for consistency
* consistent indentation for better readability, improved comments, typographical corrections
* updated docstrings for better clarity, added type hint for **kwargs, typographical corrections (no functionality changes)
* Fix format
---------
Co-authored-by: Li Jiang <bnujli@gmail.com>
* Fix typos, upgrade yarn packages, add some improvements
* Fix joblib 1.4.0 breaks joblib-spark
* Fix xgboost test error
* Pin xgboost<2.0.0
* Try update prophet to 1.5.1
* Update github workflow
* Revert prophet version
* Update github workflow
* Update install libomp
* Fix test errors
* Fix test errors
* Add retry to test and coverage
* Revert "Add retry to test and coverage"
This reverts commit ce13097cd5.
* Increase test budget
* Add more data to test_models, try fixing ValueError: Found array with 0 sample(s) (shape=(0, 252)) while a minimum of 1 is required.
* support xgboost 2.0
* try classes_
* test version
* quote
* use_label_encoder
* Fix xgboost test error
* remove deprecated files
* remove deprecated files
* remove deprecated import
* replace deprecated import in integrate_spark.ipynb
* replace deprecated import in automl_lightgbm.ipynb
* formatted integrate_spark.ipynb
* replace deprecated import
* try fix driver python path
* Update python-package.yml
* replace deprecated reference
* move spark python env var to other section
* Update setup.py, install xgb<2 for MacOS
* Fix typo
* assert
* Try assert xgboost version
* Fail fast
* Keep all test/spark to try fail fast
* No need to skip spark test in Mac or Win
* Remove assert xgb version
* Remove fail fast
* Found root cause, fix test_sparse_matrix_xgboost
* Revert "No need to skip spark test in Mac or Win"
This reverts commit a09034817f.
* remove assertion
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Co-authored-by: Li Jiang <bnujli@gmail.com>
Co-authored-by: levscaut <57213911+levscaut@users.noreply.github.com>
Co-authored-by: levscaut <lwd2010530@qq.com>
Co-authored-by: Li Jiang <lijiang1@microsoft.com>
* group chat for visualization
* show figure
* webpage update
* link update
* example 2
* example 2
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Co-authored-by: Qingyun Wu <qingyun.wu@psu.edu>
* Update readme and AutoGen docs
* Update Autogen#notebook-examples, Add link to AutoGen arxiv
* Update website/docs/Use-Cases/Autogen.md
Co-authored-by: Chi Wang <wang.chi@microsoft.com>
* Update link
---------
Co-authored-by: Chi Wang <wang.chi@microsoft.com>
Co-authored-by: Qingyun Wu <qingyun.wu@psu.edu>
* max consecutive auto reply
* chess notebook
* link to notebook
* clear history
* filter
* **context -> context
* format str template
* groupchat
* register class specific reply
* groupchat notebook
* move human reply into generate_reply
* arg in config
* colab link
* remove room
* rename
