mirror of
https://github.com/vale981/ray
synced 2025-03-05 18:11:42 -05:00
89ec4adb72
* Add sample example * Copy relevant lines of ask from inherited Optimizer * Ignore strategy * Additional changes * Add DragonflySearch for tune connector for Dragonfly * Add example and fix small errors * lint * Remove skopt references * Update example based off of Dragonfly changes * Edit example for final Dragonfly edits * Formatting and documentation edits * Add documentation and add to test pipeline * Address PR comments * Fix Jenkins test * Adjust Dragonfly to PR#7366 * Lint * fix_tests Co-authored-by: Richard Liaw <rliaw@berkeley.edu>
19 lines
970 B
Docker
19 lines
970 B
Docker
# The examples Docker image adds dependencies needed to run the examples
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FROM ray-project/deploy
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# This updates numpy to 1.14 and mutes errors from other libraries
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RUN conda install -y numpy
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# Needed to run Tune example with a 'plot' call - which does not actually render a plot, but throws an error.
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RUN apt-get install -y zlib1g-dev libgl1-mesa-dev
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# The following is needed to support TensorFlow 1.14
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RUN conda remove -y --force wrapt
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RUN pip install -U pip
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RUN pip install gym[atari] opencv-python-headless tensorflow lz4 pytest-timeout smart_open tensorflow_probability dm_tree
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RUN pip install -U h5py # Mutes FutureWarnings
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RUN pip install --upgrade bayesian-optimization
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RUN pip install --upgrade hyperopt==0.1.2
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RUN pip install ConfigSpace==0.4.10
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RUN pip install --upgrade sigopt nevergrad scikit-optimize hpbandster lightgbm xgboost torch torchvision tensorboardX dragonfly-opt
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RUN pip install -U tabulate mlflow
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RUN pip install -U pytest-remotedata>=0.3.1
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