flaml

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Author: Microsoft Corporation
Summary: A fast library for automated machine learning and tuning
Latest version: 2.3.4
Required dependencies: catboost | numpy | pandas | pytorch-forecasting
Optional dependencies: azureml-mlflow | catboost | chromadb | coverage | dataclasses | datasets | dill | diskcache | hcrystalball | holidays | ipykernel | joblib | joblibspark | jupyter | lightgbm | mlflow | nbconvert | nbformat | nltk | nni | openai | openml | optuna | packaging | pandas | pre-commit | prophet | psutil | pydantic | pyspark | pytest | pytorch-lightning | ray | requests | rgf-python | rouge-score | scikit-learn | scipy | sentence-transformers | seqeval | statsmodels | sympy | tensorboardx | termcolor | thop | tiktoken | torch | torchvision | transformers | vowpalwabbit | wolframalpha | xgboost

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