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* [tune](deps): Bump h5py from 3.1.0 to 3.2.1 in /python/requirements Bumps [h5py](https://github.com/h5py/h5py) from 3.1.0 to 3.2.1. - [Release notes](https://github.com/h5py/h5py/releases) - [Changelog](https://github.com/h5py/h5py/blob/master/docs/release_guide.rst) - [Commits](https://github.com/h5py/h5py/compare/3.1.0...3.2.1) Signed-off-by: dependabot[bot] <support@github.com> * Update python/requirements/requirements_tune.txt Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> Co-authored-by: Amog Kamsetty <amogkam@users.noreply.github.com>
48 lines
1.1 KiB
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48 lines
1.1 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==0.1.20; 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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dragonfly-opt==0.1.6
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gluoncv==0.9.1
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gpy==1.9.9
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gym[atari]==0.18.0
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h5py==3.1.0; python_version < '3.7'
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h5py==3.2.1; 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==12.0.1
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lightgbm==3.2.1
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matplotlib==3.3.4
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mlflow==1.16.0
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mxnet==1.7.0.post1
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nevergrad==0.4.2.post5
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optuna==2.6.0
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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==5.7.0
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smart_open==4.2.0
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tensorflow-probability==0.11.1
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timm==0.3.2
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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==4.3.2
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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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