* version update post release v1.2.2
* automl option
* import pandas
* remove automl.utils
* default
* test
* type hint and version update
* dependency update
* link to open in colab
* use packging.version to close#725
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Co-authored-by: Li Jiang <lijiang1@microsoft.com>
Co-authored-by: Li Jiang <bnujli@gmail.com>
* response filter
* rewrite implement based on the filter
* multi responses
* abs path
* code handling
* option to not use docker
* context
* eval_only -> raise_error
* notebook
* utils
* utils
* separate tests
* test
* test
* test
* test
* test
* test
* test
* test
* **config in test()
* test
* test
* filename
* Improve test by removing unnecessary environment variable
* Fix PULL_REQUEST_TEMPLATE
* Hide pre-commit check
* remove the checkbox for pre-commit
Co-authored-by: Chi Wang <wang.chi@microsoft.com>
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Co-authored-by: Chi Wang <wang.chi@microsoft.com>
* add 1m milestone blogpost
* format issues
* update subsection title
* acknowledgement
* Update website/blog/2023-05-07-1M-milestone/index.mdx
Co-authored-by: Chi Wang <wang.chi@microsoft.com>
* Update website/blog/2023-05-07-1M-milestone/index.mdx
Co-authored-by: Chi Wang <wang.chi@microsoft.com>
* update blogpost
* collaborators
* wording
* Azure Data to Azure Synapse
* name
* Azure Synapse Analytics
* tasks and search space
* Update website/blog/2023-05-07-1M-milestone/index.mdx
Co-authored-by: Chi Wang <wang.chi@microsoft.com>
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Co-authored-by: Chi Wang <wang.chi@microsoft.com>
Co-authored-by: Li Jiang <bnujli@gmail.com>
* Catch AuthenticationError trying different configs
While trying different openai `config_list`, some
configs might be outdated (e.g., an API key is expired).
In these cases, we don't want the program to crash.
Instead, we might want to try other configs.
* Lint whitespace
* Mark experimental classes
* template
* multi model
* test
* multi-config doc
* doc
* doc
* test
---------
Co-authored-by: Li Jiang <bnujli@gmail.com>
* fix NLP zero division error
* set predictions to None
* set predictions to None
* set predictions to None
* refactor
* refactor
---------
Co-authored-by: Li Jiang <lijiang1@microsoft.com>
Co-authored-by: Chi Wang <wang.chi@microsoft.com>
Co-authored-by: Li Jiang <bnujli@gmail.com>
* fixing the typo #990
* Update website/docs/Use-Cases/Auto-Generation.md
Co-authored-by: Chi Wang <wang.chi@microsoft.com>
* removing extra space : Update website/docs/Use-Cases/Auto-Generation.md
Co-authored-by: Chi Wang <wang.chi@microsoft.com>
* Update website/docs/Use-Cases/Auto-Generation.md
Co-authored-by: Chi Wang <wang.chi@microsoft.com>
* Update website/docs/Use-Cases/Auto-Generation.md
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Co-authored-by: Chi Wang <wang.chi@microsoft.com>
* expose label and feature transformer
* linter apply
* avoid undefined attribute in flaml/automl/automl.py
Co-authored-by: Chi Wang <wang.chi@microsoft.com>
* avoid undefined attribute in flaml/automl/automl.py
Co-authored-by: Chi Wang <wang.chi@microsoft.com>
* retrigger checks
* retrigger checks
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Co-authored-by: Chi Wang <wang.chi@microsoft.com>
* math utils in autogen
* cleanup
* code utils
* remove check function from code response
* comment out test
* GPT-4
* increase request timeout
* name
* logging and error handling
* better doc
* doc
* codegen optimized
* GPT series
* text
* no demo example
* math
* import openai
* import openai
* azure model name
* azure model name
* openai version
* generate assertion if necessary
* condition to generate assertions
* init region key
* rename
* comments about budget
* prompt
---------
Co-authored-by: Susan Xueqing Liu <liususan091219@users.noreply.github.com>
* tentatively implement holt-winters-no covariates
* fix forecast method, clean class
* checking external regressors too
* update test forecast
* remove duplicated test file, re-add sarimax, search space cleanup
* Update flaml/automl/model.py
removed links. Most important one probably was: https://robjhyndman.com/hyndsight/ets-regressors/
Co-authored-by: Chi Wang <wang.chi@microsoft.com>
* prevent short series
* add docs
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Co-authored-by: Andrea W <a.ruggerini@ammagamma.com>
Co-authored-by: Chi Wang <wang.chi@microsoft.com>
* improve max_valid_n and doc
* Update README.md
Co-authored-by: Li Jiang <lijiang1@microsoft.com>
* add support for chatgpt
* notebook
* newline at end of file
* chatgpt notebook
* ChatGPT in Azure
* doc
* math
* warning, timeout, log file name
* handle import error
* doc update; default value
* paper
* doc
* docstr
* eval_func
* add a test func in completion
* update notebook
* update math notebook
* improve notebok
* lint and handle exception
* flake8
* exception in test
* add agg_method
* NameError
* refactor
* Update flaml/integrations/oai/completion.py
Co-authored-by: Chi Wang <wang.chi@microsoft.com>
* Update flaml/integrations/oai/completion.py
Co-authored-by: Chi Wang <wang.chi@microsoft.com>
* add example
* merge files from oai_eval_test
* Revert "merge files from oai_eval_test"
This reverts commit 1e6a550f91.
* merge
* save results to notebook_output
* update version and cache
* update doc
* save nb cell results to file
* fix typo in model name
* code improvements
* improve docstr
* docstr
* docstr on the Returns of test
---------
Co-authored-by: Chi Wang <wang.chi@microsoft.com>
Co-authored-by: Li Jiang <lijiang1@microsoft.com>
Co-authored-by: Susan Xueqing Liu <liususan091219@users.noreply.github.com>
* more tolerant time limit for test_overtime
* Cancel assertion becasue github VM sometimes is super slow
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Co-authored-by: Li Jiang <lijiang1@microsoft.com>
* add basic support to Spark dataframe
add support to SynapseML LightGBM model
update to pyspark>=3.2.0 to leverage pandas_on_Spark API
* clean code, add TODOs
* add sample_train_data for pyspark.pandas dataframe, fix bugs
* improve some functions, fix bugs
* fix dict change size during iteration
* update model predict
* update LightGBM model, update test
* update SynapseML LightGBM params
* update synapseML and tests
* update TODOs
* Added support to roc_auc for spark models
* Added support to score of spark estimator
* Added test for automl score of spark estimator
* Added cv support to pyspark.pandas dataframe
* Update test, fix bugs
* Added tests
* Updated docs, tests, added a notebook
* Fix bugs in non-spark env
* Fix bugs and improve tests
* Fix uninstall pyspark
* Fix tests error
* Fix java.lang.OutOfMemoryError: Java heap space
* Fix test_performance
* Update test_sparkml to test_0sparkml to use the expected spark conf
* Remove unnecessary widgets in notebook
* Fix iloc java.lang.StackOverflowError
* fix pre-commit
* Added params check for spark dataframes
* Refactor code for train_test_split to a function
* Update train_test_split_pyspark
* Refactor if-else, remove unnecessary code
* Remove y from predict, remove mem control from n_iter compute
* Update workflow
* Improve _split_pyspark
* Fix test failure of too short training time
* Fix typos, improve docstrings
* Fix index errors of pandas_on_spark, add spark loss metric
* Fix typo of ndcgAtK
* Update NDCG metrics and tests
* Remove unuseful logger
* Use cache and count to ensure consistent indexes
* refactor for merge maain
* fix errors of refactor
* Updated SparkLightGBMEstimator and cache
* Updated config2params
* Remove unused import
* Fix unknown parameters
* Update default_estimator_list
* Add unit tests for spark metrics
* Refactor into automl subpackage
Moved some of the packages into an automl subpackage to tidy before the
task-based refactor. This is in response to discussions with the group
and a comment on the first task-based PR.
Only changes here are moving subpackages and modules into the new
automl, fixing imports to work with this structure and fixing some
dependencies in setup.py.
* Fix doc building post automl subpackage refactor
* Fix broken links in website post automl subpackage refactor
* Fix broken links in website post automl subpackage refactor
* Remove vw from test deps as this is breaking the build
* Move default back to the top-level
I'd moved this to automl as that's where it's used internally, but had
missed that this is actually part of the public interface so makes sense
to live where it was.
* Re-add top level modules with deprecation warnings
flaml.data, flaml.ml and flaml.model are re-added to the top level,
being re-exported from flaml.automl for backwards compatability. Adding
a deprecation warning so that we can have a planned removal later.
* Fix model.py line-endings
* WIP
* WIP - Notes below
Got to the point where the methods from AutoML are pulled to
GenericTask. Started removing private markers and removing the passing
of automl to these methods. Done with decide_split_type, started on
prepare_data. Need to do the others after
* Re-add generic_task
* Fix tests: add Task.__str__
* Fix tests: test for ray.ObjectRef
* Hotwire TS_Sklearn wrapper to fix test fail
* Remove unused data size field from Task
* Fix import for CLASSIFICATION in notebook
* Update flaml/automl/data.py
Co-authored-by: Chi Wang <wang.chi@microsoft.com>
* Fix review comments
* Fix task -> str in custom learner constructor
* Remove unused CLASSIFICATION imports
* Hotwire TS_Sklearn wrapper to fix test fail by setting
optimizer_for_horizon == False
* Revert changes to the automl_classification and pin FLAML version
* Fix imports in reverted notebook
* Fix FLAML version in automl notebooks
* Fix ml.py line endings
* Fix CLASSIFICATION task import in automl_classification notebook
* Uncomment pip install in notebook and revert import
Not convinced this will work because of installing an older version of
the package into the environment in which we're running the tests, but
let's see.
* Revert c6a5dd1a0
* Revert "Revert c6a5dd1a0"
This reverts commit e55e35adea03993de87b23f092b14c6af623d487.
* Black format model.py
* Bump version to 1.1.2 in automl_xgboost
* Add docstrings to the Task ABC
* Fix import in custom_learner
* fix 'optimize_for_horizon' for ts_sklearn
* remove debugging print statements
* Check for is_forecast() before is_classification() in decide_split_type
* Attempt to fix formatting fail
* Another attempt to fix formatting fail
* And another attempt to fix formatting fail
* Add type annotations for task arg in signatures and docstrings
* Fix formatting
* Fix linting
---------
Co-authored-by: Qingyun Wu <qingyun.wu@psu.edu>
Co-authored-by: EgorKraevTransferwise <egor.kraev@transferwise.com>
Co-authored-by: Chi Wang <wang.chi@microsoft.com>
Co-authored-by: Kevin Chen <chenkevin.8787@gmail.com>
badjouras
Chi Wang
Li Jiang
Pratyay Roy
Qingyun Wu
Susan Xueqing Liu
Beibin Li
garar
Jirka Borovec
Anupam
Sayan Roy
Jane Illarionova
Li Jiang
Andrea Ruggerini
dependabot[bot]
Ayesh Vininda
levscaut
Mark Harley