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Author:
Takuya Akiba
License:
MIT License Copyright (c) 2018 Preferred Networks, Inc. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Softwar...
Summary:
A hyperparameter optimization framework
Latest version:
3.4.0
Required dependencies:
alembic
|
catboost
|
colorlog
|
numpy
|
packaging
|
pyyaml
|
scipy
|
sqlalchemy
|
tqdm
Optional dependencies:
ase
|
asv
|
black
|
blackdoc
|
boto3
|
botorch
|
cma
|
cmaes
|
coverage
|
distributed
|
fakeredis
|
fastai
|
flake8
|
fvcore
|
google-cloud-storage
|
isort
|
kaleido
|
lightgbm
|
matplotlib
|
mlflow
|
moto
|
mypy
|
mypy-boto3-s3
|
pandas
|
pillow
|
plotly
|
pytest
|
pytorch-ignite
|
pytorch-lightning
|
redis
|
scikit-learn
|
scikit-optimize
|
shap
|
sphinx
|
sphinx-copybutton
|
sphinx-gallery
|
sphinx-plotly-directive
|
sphinx-rtd-theme
|
tensorflow
|
torch
|
torchaudio
|
torchvision
|
types-pyyaml
|
types-redis
|
types-setuptools
|
types-tqdm
|
typing-extensions
|
virtualenv
|
wandb
|
xgboost
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