mirror of
https://github.com/vale981/ray
synced 2025-03-06 02:21:39 -05:00
148b1022d6
Bumps [autogluon-core](https://github.com/awslabs/autogluon) from 0.0.16b20210122 to 0.0.16b20210125. - [Release notes](https://github.com/awslabs/autogluon/releases) - [Changelog](https://github.com/awslabs/autogluon/blob/master/docs/ReleaseInstructions.md) - [Commits](https://github.com/awslabs/autogluon/commits) Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
877 lines
16 KiB
Text
877 lines
16 KiB
Text
#
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# This file is autogenerated by pip-compile
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# To update, run:
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#
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# pip-compile requirements_tune.in
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#
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--find-links https://download.pytorch.org/whl/torch_stable.html
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absl-py==0.11.0
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# via tensorboard
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alembic==1.4.1
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# via
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# mlflow
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# optuna
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argon2-cffi==20.1.0
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# via notebook
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async-generator==1.10
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# via nbclient
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atari-py==0.2.6
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# via
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# -c ../requirements.txt
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# gym
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attrs==20.3.0
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# via
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# cmd2
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# jsonschema
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# pytest
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autocfg==0.0.6
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# via gluoncv
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autogluon.core==0.0.16b20210125
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# via gluoncv
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autograd==1.3
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# via autogluon.core
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ax-platform==0.1.19 ; python_version >= "3.7"
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# via -r requirements_tune.in
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azure-core==1.10.0
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# via azure-storage-blob
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azure-storage-blob==12.7.1
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# via mlflow
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backcall==0.2.0
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# via ipython
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bayesian-optimization==1.2.0
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# via
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# -r requirements_tune.in
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# nevergrad
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bcrypt==3.2.0
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# via paramiko
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bleach==3.2.2
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# via nbconvert
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bokeh==2.2.3
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# via dask
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boto3==1.16.58
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# via
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# -c ../requirements.txt
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# autogluon.core
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# smart-open
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botocore==1.19.58
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# via
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# boto3
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# s3transfer
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botorch==0.3.3
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# via ax-platform
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cached-property==1.5.2
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# via h5py
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cachetools==4.2.0
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# via google-auth
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certifi==2020.12.5
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# via
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# kubernetes
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# msrest
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# requests
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# sentry-sdk
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cffi==1.14.4
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# via
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# argon2-cffi
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# bcrypt
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# cryptography
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# pynacl
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chardet==4.0.0
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# via requests
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click==7.1.2
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# via
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# -c ../requirements.txt
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# databricks-cli
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# distributed
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# flask
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# mlflow
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# sacremoses
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# wandb
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cliff==3.6.0
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# via optuna
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cloudpickle==1.6.0
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# via
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# dask
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# distributed
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# gym
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# hyperopt
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# mlflow
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# tensorflow-probability
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cma==3.0.3
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# via nevergrad
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cmaes==0.7.0
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# via optuna
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cmd2==1.4.0
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# via cliff
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colorama==0.4.4
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# via
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# -c ../requirements.txt
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# cmd2
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colorlog==4.7.2
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# via optuna
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configparser==5.0.1
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# via wandb
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configspace==0.4.10
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# via
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# -r requirements_tune.in
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# autogluon.core
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# hpbandster
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cryptography==3.3.1
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# via
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# azure-storage-blob
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# paramiko
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cycler==0.10.0
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# via matplotlib
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cython==0.29.0
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# via
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# -c ../requirements.txt
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# autogluon.core
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# configspace
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dask[complete]==2021.1.0
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# via
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# -c ../requirements.txt
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# autogluon.core
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# distributed
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databricks-cli==0.14.1
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# via mlflow
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dataclasses==0.6
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# via torch
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decorator==4.4.2
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# via
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# ipython
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# networkx
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# paramz
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# tensorflow-probability
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decord==0.4.2
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# via gluoncv
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defusedxml==0.6.0
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# via nbconvert
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dill==0.3.3
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# via autogluon.core
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distributed==2021.1.1
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# via
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# autogluon.core
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# dask
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dm-tree==0.1.5
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# via
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# -c ../requirements.txt
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# tensorflow-probability
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docker-pycreds==0.4.0
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# via wandb
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docker==4.4.1
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# via mlflow
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dragonfly-opt==0.1.6
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# via -r requirements_tune.in
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entrypoints==0.3
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# via
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# mlflow
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# nbconvert
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filelock==3.0.12
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# via
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# -c ../requirements.txt
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# transformers
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flask==1.1.2
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# via
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# -c ../requirements.txt
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# mlflow
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# prometheus-flask-exporter
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fsspec==0.8.5
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# via
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# dask
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# pytorch-lightning
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future==0.18.2
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# via
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# autograd
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# dragonfly-opt
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# hyperopt
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# pyglet
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# pytorch-lightning
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# torch
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gast==0.4.0
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# via tensorflow-probability
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gitdb==4.0.5
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# via gitpython
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gitpython==3.1.12
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# via
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# mlflow
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# wandb
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gluoncv==0.9.1
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# via -r requirements_tune.in
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google-auth-oauthlib==0.4.2
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# via tensorboard
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google-auth==1.24.0
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# via
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# google-auth-oauthlib
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# kubernetes
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# tensorboard
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gpy==1.9.9
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# via -r requirements_tune.in
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gpytorch==1.3.1
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# via botorch
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graphviz==0.8.4
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# via
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# autogluon.core
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# mxnet
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grpcio==1.35.0
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# via
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# -c ../requirements.txt
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# tensorboard
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gunicorn==20.0.4
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# via mlflow
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gym[atari]==0.18.0
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# via
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# -c ../requirements.txt
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# -r requirements_tune.in
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h5py==3.1.0
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# via
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# -r requirements_tune.in
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# keras
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heapdict==1.0.1
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# via zict
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hpbandster==0.7.4
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# via -r requirements_tune.in
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hyperopt==0.2.5
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# via -r requirements_tune.in
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idna==2.10
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# via requests
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importlib-metadata==3.4.0
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# via
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# cmd2
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# jsonschema
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# markdown
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# pluggy
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# pytest
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# stevedore
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ipykernel==5.4.3
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# via
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# ipywidgets
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# jupyter
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# jupyter-console
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# notebook
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# qtconsole
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ipython-genutils==0.2.0
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# via
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# nbformat
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# notebook
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# qtconsole
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# traitlets
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ipython==7.19.0
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# via
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# ipykernel
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# ipywidgets
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# jupyter-console
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ipywidgets==7.6.3
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# via jupyter
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isodate==0.6.0
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# via msrest
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itsdangerous==1.1.0
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# via flask
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jedi==0.18.0
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# via ipython
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jinja2==2.11.2
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# via
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# ax-platform
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# bokeh
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# flask
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# nbconvert
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# notebook
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jmespath==0.10.0
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# via
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# boto3
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# botocore
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joblib==1.0.0
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# via
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# optuna
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# sacremoses
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# scikit-learn
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# scikit-optimize
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jsonschema==3.2.0
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# via
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# -c ../requirements.txt
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# nbformat
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jupyter-client==6.1.11
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# via
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# ipykernel
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# jupyter-console
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# nbclient
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# notebook
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# qtconsole
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jupyter-console==6.2.0
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# via jupyter
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jupyter-core==4.7.0
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# via
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# jupyter-client
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# nbconvert
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# nbformat
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# notebook
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# qtconsole
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jupyter==1.0.0
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# via -r requirements_tune.in
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jupyterlab-pygments==0.1.2
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# via nbconvert
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jupyterlab-widgets==1.0.0
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# via ipywidgets
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keras==2.4.3
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# via -r requirements_tune.in
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kiwisolver==1.3.1
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# via matplotlib
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kubernetes==12.0.1
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# via
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# -c ../requirements.txt
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# -r requirements_tune.in
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lightgbm==3.1.1
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# via -r requirements_tune.in
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locket==0.2.1
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# via partd
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mako==1.1.4
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# via alembic
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markdown==3.3.3
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# via tensorboard
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markupsafe==1.1.1
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# via
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# jinja2
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# mako
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matplotlib==3.3.3
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# via
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# -r requirements_tune.in
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# autogluon.core
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# gluoncv
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# zoopt
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mistune==0.8.4
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# via nbconvert
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mlflow==1.13.1
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# via -r requirements_tune.in
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more-itertools==8.6.0
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# via pytest
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msgpack==1.0.2
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# via
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# -c ../requirements.txt
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# distributed
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msrest==0.6.19
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# via azure-storage-blob
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mxnet==1.7.0.post1
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# via -r requirements_tune.in
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nbclient==0.5.1
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# via nbconvert
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nbconvert==6.0.7
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# via
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# jupyter
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# notebook
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nbformat==5.1.2
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# via
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# ipywidgets
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# nbclient
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# nbconvert
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# notebook
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nest-asyncio==1.4.3
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# via nbclient
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|
netifaces==0.10.9
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# via hpbandster
|
|
networkx==2.5
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|
# via
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# -c ../requirements.txt
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# hyperopt
|
|
nevergrad==0.4.2.post5
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# via -r requirements_tune.in
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notebook==6.2.0
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# via
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# jupyter
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# widgetsnbextension
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numpy==1.19.5
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# via
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# -c ../requirements.txt
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# atari-py
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# autogluon.core
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# autograd
|
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# bayesian-optimization
|
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# bokeh
|
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# cma
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# cmaes
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# configspace
|
|
# dask
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|
# decord
|
|
# dragonfly-opt
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|
# gluoncv
|
|
# gpy
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# gym
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|
# h5py
|
|
# hpbandster
|
|
# hyperopt
|
|
# keras
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|
# lightgbm
|
|
# matplotlib
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# mlflow
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# mxnet
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# nevergrad
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# opencv-python
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# optuna
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|
# pandas
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|
# paramz
|
|
# patsy
|
|
# pytorch-lightning
|
|
# scikit-learn
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|
# scikit-optimize
|
|
# scipy
|
|
# statsmodels
|
|
# tensorboard
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# tensorboardx
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# tensorflow-probability
|
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# torch
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# torchvision
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# transformers
|
|
# xgboost
|
|
# zoopt
|
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oauthlib==3.1.0
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# via requests-oauthlib
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opencv-python==4.5.1.48
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# via
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# gluoncv
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# gym
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|
optuna==2.4.0
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# via -r requirements_tune.in
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packaging==20.8
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# via
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# bleach
|
|
# bokeh
|
|
# optuna
|
|
# pytest
|
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# transformers
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pandas==1.0.5
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# via
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# -c ../requirements.txt
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# autogluon.core
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# ax-platform
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# dask
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# gluoncv
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# mlflow
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# statsmodels
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pandocfilters==1.4.3
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# via nbconvert
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paramiko==2.7.2
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|
# via autogluon.core
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|
paramz==0.9.5
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|
# via gpy
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|
parso==0.8.1
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|
# via jedi
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|
partd==1.1.0
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|
# via dask
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|
patsy==0.5.1
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# via statsmodels
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|
pbr==5.5.1
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|
# via
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|
# cliff
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|
# stevedore
|
|
pexpect==4.8.0
|
|
# via
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|
# -c ../requirements.txt
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|
# ipython
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|
pickleshare==0.7.5
|
|
# via ipython
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|
pillow==7.2.0 ; platform_system != "Windows"
|
|
# via
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|
# -c ../requirements.txt
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|
# bokeh
|
|
# gluoncv
|
|
# gym
|
|
# matplotlib
|
|
# torchvision
|
|
plotly==4.14.3
|
|
# via ax-platform
|
|
pluggy==0.13.1
|
|
# via pytest
|
|
portalocker==2.0.0
|
|
# via gluoncv
|
|
prettytable==0.7.2
|
|
# via cliff
|
|
prometheus-client==0.9.0
|
|
# via
|
|
# -c ../requirements.txt
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|
# notebook
|
|
# prometheus-flask-exporter
|
|
prometheus-flask-exporter==0.18.1
|
|
# via mlflow
|
|
promise==2.3
|
|
# via wandb
|
|
prompt-toolkit==3.0.13
|
|
# via
|
|
# ipython
|
|
# jupyter-console
|
|
protobuf==3.14.0
|
|
# via
|
|
# -c ../requirements.txt
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|
# mlflow
|
|
# tensorboard
|
|
# tensorboardx
|
|
# wandb
|
|
psutil==5.8.0
|
|
# via
|
|
# distributed
|
|
# wandb
|
|
ptyprocess==0.7.0
|
|
# via
|
|
# pexpect
|
|
# terminado
|
|
py==1.10.0
|
|
# via pytest
|
|
pyaml==20.4.0
|
|
# via scikit-optimize
|
|
pyasn1-modules==0.2.8
|
|
# via google-auth
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|
pyasn1==0.4.8
|
|
# via
|
|
# pyasn1-modules
|
|
# rsa
|
|
pycparser==2.20
|
|
# via cffi
|
|
pyglet==1.5.0
|
|
# via gym
|
|
pygments==2.7.4
|
|
# via
|
|
# -c ../requirements.txt
|
|
# ipython
|
|
# jupyter-console
|
|
# jupyterlab-pygments
|
|
# nbconvert
|
|
# qtconsole
|
|
pynacl==1.4.0
|
|
# via paramiko
|
|
pyparsing==2.4.7
|
|
# via
|
|
# cliff
|
|
# configspace
|
|
# matplotlib
|
|
# packaging
|
|
pyperclip==1.8.1
|
|
# via cmd2
|
|
pyro4==4.80
|
|
# via hpbandster
|
|
pyrsistent==0.17.3
|
|
# via jsonschema
|
|
pytest-remotedata==0.3.2
|
|
# via -r requirements_tune.in
|
|
pytest==5.4.3
|
|
# via
|
|
# -c ../requirements.txt
|
|
# autogluon.core
|
|
# pytest-remotedata
|
|
python-dateutil==2.8.1
|
|
# via
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|
# alembic
|
|
# bokeh
|
|
# botocore
|
|
# jupyter-client
|
|
# kubernetes
|
|
# matplotlib
|
|
# mlflow
|
|
# pandas
|
|
# wandb
|
|
python-editor==1.0.4
|
|
# via alembic
|
|
pytorch-lightning-bolts==0.2.5
|
|
# via -r requirements_tune.in
|
|
pytorch-lightning==1.0.3
|
|
# via
|
|
# -r requirements_tune.in
|
|
# pytorch-lightning-bolts
|
|
pytz==2020.5
|
|
# via pandas
|
|
pyyaml==5.4.1
|
|
# via
|
|
# -c ../requirements.txt
|
|
# autocfg
|
|
# bokeh
|
|
# cliff
|
|
# dask
|
|
# distributed
|
|
# gluoncv
|
|
# keras
|
|
# kubernetes
|
|
# mlflow
|
|
# pyaml
|
|
# pytorch-lightning
|
|
# wandb
|
|
# yacs
|
|
pyzmq==21.0.1
|
|
# via
|
|
# jupyter-client
|
|
# notebook
|
|
# qtconsole
|
|
qtconsole==5.0.2
|
|
# via jupyter
|
|
qtpy==1.9.0
|
|
# via qtconsole
|
|
querystring-parser==1.2.4
|
|
# via mlflow
|
|
regex==2020.11.13
|
|
# via
|
|
# sacremoses
|
|
# transformers
|
|
requests-oauthlib==1.3.0
|
|
# via
|
|
# google-auth-oauthlib
|
|
# kubernetes
|
|
# msrest
|
|
requests==2.25.1
|
|
# via
|
|
# -c ../requirements.txt
|
|
# autogluon.core
|
|
# azure-core
|
|
# databricks-cli
|
|
# docker
|
|
# gluoncv
|
|
# kubernetes
|
|
# mlflow
|
|
# msrest
|
|
# mxnet
|
|
# requests-oauthlib
|
|
# sigopt
|
|
# tensorboard
|
|
# transformers
|
|
# wandb
|
|
retrying==1.3.3
|
|
# via plotly
|
|
rsa==4.7
|
|
# via google-auth
|
|
s3transfer==0.3.4
|
|
# via boto3
|
|
sacremoses==0.0.43
|
|
# via transformers
|
|
scikit-learn==0.22.2
|
|
# via
|
|
# -c ../requirements.txt
|
|
# -r requirements_tune.in
|
|
# autogluon.core
|
|
# ax-platform
|
|
# bayesian-optimization
|
|
# gpytorch
|
|
# lightgbm
|
|
# scikit-optimize
|
|
scikit-optimize==0.8.1
|
|
# via
|
|
# -r requirements_tune.in
|
|
# autogluon.core
|
|
scipy==1.4.1
|
|
# via
|
|
# -c ../requirements.txt
|
|
# autogluon.core
|
|
# ax-platform
|
|
# bayesian-optimization
|
|
# botorch
|
|
# dragonfly-opt
|
|
# gluoncv
|
|
# gpy
|
|
# gpytorch
|
|
# gym
|
|
# hpbandster
|
|
# hyperopt
|
|
# keras
|
|
# lightgbm
|
|
# optuna
|
|
# paramz
|
|
# scikit-learn
|
|
# scikit-optimize
|
|
# statsmodels
|
|
# xgboost
|
|
send2trash==1.5.0
|
|
# via notebook
|
|
sentencepiece==0.1.95
|
|
# via transformers
|
|
sentry-sdk==0.19.5
|
|
# via wandb
|
|
serpent==1.30.2
|
|
# via
|
|
# hpbandster
|
|
# pyro4
|
|
shortuuid==1.0.1
|
|
# via wandb
|
|
sigopt==5.7.0
|
|
# via -r requirements_tune.in
|
|
six==1.15.0
|
|
# via
|
|
# absl-py
|
|
# argon2-cffi
|
|
# atari-py
|
|
# azure-core
|
|
# bcrypt
|
|
# bleach
|
|
# cryptography
|
|
# cycler
|
|
# databricks-cli
|
|
# dm-tree
|
|
# docker
|
|
# docker-pycreds
|
|
# dragonfly-opt
|
|
# google-auth
|
|
# gpy
|
|
# grpcio
|
|
# hyperopt
|
|
# isodate
|
|
# jsonschema
|
|
# kubernetes
|
|
# mlflow
|
|
# paramz
|
|
# patsy
|
|
# plotly
|
|
# promise
|
|
# protobuf
|
|
# pynacl
|
|
# pytest-remotedata
|
|
# python-dateutil
|
|
# querystring-parser
|
|
# retrying
|
|
# sacremoses
|
|
# tensorboard
|
|
# tensorboardx
|
|
# tensorflow-probability
|
|
# wandb
|
|
# websocket-client
|
|
smart_open[s3]==4.1.2
|
|
# via
|
|
# -c ../requirements.txt
|
|
# -r requirements_tune.in
|
|
smmap==3.0.4
|
|
# via gitdb
|
|
sortedcontainers==2.3.0
|
|
# via distributed
|
|
sqlalchemy==1.3.22
|
|
# via
|
|
# alembic
|
|
# mlflow
|
|
# optuna
|
|
sqlparse==0.4.1
|
|
# via mlflow
|
|
statsmodels==0.12.1
|
|
# via hpbandster
|
|
stevedore==3.3.0
|
|
# via cliff
|
|
subprocess32==3.5.4
|
|
# via wandb
|
|
tabulate==0.8.7
|
|
# via
|
|
# -c ../requirements.txt
|
|
# databricks-cli
|
|
tblib==1.7.0
|
|
# via distributed
|
|
tensorboard-plugin-wit==1.8.0
|
|
# via tensorboard
|
|
tensorboard==2.4.1
|
|
# via pytorch-lightning
|
|
tensorboardx==2.1
|
|
# via
|
|
# -c ../requirements.txt
|
|
# gluoncv
|
|
tensorflow-probability==0.11.1
|
|
# via -r requirements_tune.in
|
|
terminado==0.9.2
|
|
# via notebook
|
|
testpath==0.4.4
|
|
# via nbconvert
|
|
timm==0.3.2
|
|
# via -r requirements_tune.in
|
|
tokenizers==0.8.1.rc2
|
|
# via transformers
|
|
toolz==0.11.1
|
|
# via
|
|
# dask
|
|
# distributed
|
|
# partd
|
|
torch==1.7.0+cpu ; sys_platform != "darwin"
|
|
# via
|
|
# -r requirements_tune.in
|
|
# botorch
|
|
# gpytorch
|
|
# pytorch-lightning
|
|
# pytorch-lightning-bolts
|
|
# timm
|
|
# torchvision
|
|
torchvision==0.8.1+cpu ; sys_platform != "darwin"
|
|
# via
|
|
# -r requirements_tune.in
|
|
# timm
|
|
tornado==6.1
|
|
# via
|
|
# autogluon.core
|
|
# bokeh
|
|
# distributed
|
|
# ipykernel
|
|
# jupyter-client
|
|
# notebook
|
|
# terminado
|
|
tqdm==4.56.0
|
|
# via
|
|
# autogluon.core
|
|
# gluoncv
|
|
# hyperopt
|
|
# optuna
|
|
# pytorch-lightning
|
|
# sacremoses
|
|
# transformers
|
|
traitlets==5.0.5
|
|
# via
|
|
# ipykernel
|
|
# ipython
|
|
# ipywidgets
|
|
# jupyter-client
|
|
# jupyter-core
|
|
# nbclient
|
|
# nbconvert
|
|
# nbformat
|
|
# notebook
|
|
# qtconsole
|
|
transformers==3.1
|
|
# via -r requirements_tune.in
|
|
typeguard==2.10.0
|
|
# via ax-platform
|
|
typing-extensions==3.7.4.3
|
|
# via
|
|
# bokeh
|
|
# importlib-metadata
|
|
# nevergrad
|
|
# torch
|
|
typing==3.7.4.3
|
|
# via configspace
|
|
urllib3==1.26.2
|
|
# via
|
|
# botocore
|
|
# kubernetes
|
|
# requests
|
|
# sentry-sdk
|
|
wandb==0.10.12
|
|
# via -r requirements_tune.in
|
|
watchdog==1.0.2
|
|
# via wandb
|
|
wcwidth==0.2.5
|
|
# via
|
|
# cmd2
|
|
# prompt-toolkit
|
|
# pytest
|
|
webencodings==0.5.1
|
|
# via bleach
|
|
websocket-client==0.57.0
|
|
# via
|
|
# docker
|
|
# kubernetes
|
|
werkzeug==1.0.1
|
|
# via
|
|
# -c ../requirements.txt
|
|
# flask
|
|
# tensorboard
|
|
wheel==0.36.2
|
|
# via
|
|
# lightgbm
|
|
# tensorboard
|
|
widgetsnbextension==3.5.1
|
|
# via ipywidgets
|
|
xgboost==1.3.0.post0
|
|
# via -r requirements_tune.in
|
|
yacs==0.1.8
|
|
# via gluoncv
|
|
zict==2.0.0
|
|
# via distributed
|
|
zipp==3.4.0
|
|
# via importlib-metadata
|
|
zoopt==0.4.1
|
|
# via -r requirements_tune.in
|
|
|
|
# The following packages are considered to be unsafe in a requirements file:
|
|
# setuptools
|