flaml

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Author: None
License: MIT
Summary: A fast library for automated machine learning and tuning
Latest version: 2.7.0
Required dependencies: catboost | cryptography | datasets | evaluate | numpy | openml | pytest-asyncio | pytorch-forecasting | pytorch-lightning | thop | torch | torchvision | transformers | xgboost
Optional dependencies: azureml-mlflow | catboost | coverage | datasets | dill | hcrystalball | holidays | ipykernel | joblib | joblibspark | jupyter | lightgbm | mlflow-skinny | nbconvert | nbformat | nltk | nni | optuna | packaging | pandas | pre-commit | prophet | psutil | pyspark | pytest | pytest-rerunfailures | pytorch-forecasting | pytorch-lightning | ray | requests | rgf-python | rouge_score | scikit-learn | scipy | seqeval | statsmodels | tensorboardx | transformers | vowpalwabbit | xgboost

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