mirror of
https://github.com/vale981/ray
synced 2025-03-09 04:46:38 -04:00
f6922b1768
Bumps [optuna](https://github.com/optuna/optuna) from 2.8.0 to 2.9.1. - [Release notes](https://github.com/optuna/optuna/releases) - [Commits](https://github.com/optuna/optuna/compare/v2.8.0...v2.9.1) --- updated-dependencies: - dependency-name: optuna dependency-type: direct:production update-type: version-update:semver-minor ... Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> Co-authored-by: Amog Kamsetty <amogkam@users.noreply.github.com>
60 lines
1.5 KiB
Text
60 lines
1.5 KiB
Text
autogluon.core==0.1.0
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ax-platform==0.1.9; python_version < '3.7'
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ax-platform==0.2.1; python_version >= '3.7'
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bayesian-optimization==1.2.0
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ConfigSpace==0.4.18
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dask[complete]==2021.03.0; python_version < '3.7'
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dask[complete]==2021.06.1; python_version >= '3.7'
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dragonfly-opt==0.1.6
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flaml==0.5.2
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freezegun==1.1.0
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gluoncv==0.10.1.post0
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gpy==1.10.0
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gym[atari]==0.18.3
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h5py==3.1.0; python_version < '3.7'
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h5py==3.3.0; python_version >= '3.7'
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hpbandster==0.7.4
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HEBO==0.1.0
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hyperopt==0.2.5
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jupyter==1.0.0
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keras==2.4.3
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kubernetes==17.17.0
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lightgbm==3.2.1
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matplotlib==3.3.4; python_version < '3.7'
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matplotlib==3.4.2; python_version >= '3.7'
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mlflow==1.19.0
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mock==4.0.3
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mxnet==1.8.0.post0
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nevergrad==0.4.3.post7
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optuna==2.9.1
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pytest-remotedata==0.3.2
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pytorch-lightning-bolts==0.2.5
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pytorch-lightning==1.0.3
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scikit-learn==0.24.2
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scikit-optimize==0.8.1
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sigopt==7.4.0
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smart_open==5.1.0
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tensorflow-probability==0.13.0
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timm==0.4.5
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torch==1.8.1;sys_platform=="darwin"
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torchvision==0.9.1;sys_platform=="darwin"
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# On non-OSX machines only install CPU version of torch and torchvision
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-f https://download.pytorch.org/whl/torch_stable.html
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torch==1.8.1+cpu;sys_platform!="darwin"
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-f https://download.pytorch.org/whl/torch_stable.html
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torchvision==0.9.1+cpu;sys_platform!="darwin"
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transformers==4.9.1
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wandb==0.10.29
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xgboost==1.3.3
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zoopt==0.4.1
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# Dependencies for Hugging Face examples:
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# `python/ray/util/sgd/v2/examples/transformers/transformers_example.py`
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accelerate==0.3.0
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datasets==1.11.0
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sentencepiece==0.1.96
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