trieste
A Bayesian optimization toolbox built on TensorFlow
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- __init__.py
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- test_multifidelity_models.py
- __init__.py
- __init__.py
- test_active_learning.py
- test_ask_tell_optimization.py
- test_bayesian_optimization.py
- test_constrained_bayesian_optimization.py
- test_mixed_space_bayesian_optimization.py
- test_multi_objective_bayesian_optimization.py
- test_multifidelity_bayesian_optimization.py
- constraints.txt
- requirements.txt
- constraints.txt
- requirements.txt
- constraints.txt
- requirements.txt
- __init__.py
- test_tensorflow.py
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- __init__.py
- test_dominance.py
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- __init__.py
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- test_sampler.py
- __init__.py
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- test_models.py
- test_sampler.py
- test_utils.py
- __init__.py
- conftest.py
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- test_optimizer.py
- test_utils.py
- __init__.py
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- test_single_objectives.py
- test_utils.py
- __init__.py
- test_misc.py
- __init__.py
- test_ask_tell_optimization.py
- test_bayesian_optimizer.py
- test_data.py
- test_hierarchical_search_space.py
- test_logging.py
- test_observer.py
- test_setup.py
- test_space.py
- test_utils.py
- test_version.py
- __init__.py
- sampler.py
- __init__.py
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- test_models.py
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- __init__.py
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- __init__.py
- models.py
- __init__.py
- misc.py
- __init__.py
- conftest.py
- __init__.py
- active_learning.py
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- entropy.py
- function.py
- greedy_batch.py
- multi_objective.py
- utils.py
- __init__.py
- dominance.py
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- partition.py
- __init__.py
- combination.py
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- utils.py
- __init__.py
- builders.py
- interface.py
- models.py
- sampler.py
- __init__.py
- architectures.py
- builders.py
- interface.py
- models.py
- sampler.py
- utils.py
- __init__.py
- interfaces.py
- optimizer.py
- utils.py
- __init__.py
- multi_objectives.py
- multifidelity_objectives.py
- single_objectives.py
- utils.py
- __init__.py
- misc.py
- __init__.py
- ask_tell_optimization.py
- bayesian_optimizer.py
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- setup.py
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- versions.json
# Installation Guide
1. Get the code
git clone https://github.com/secondmind-labs/trieste
Downloads the entire project code from GitHub to your computer.
cd trieste
Moves into the project folder you just downloaded.
2. Python
Easy RecommendedPrerequisites
$ pip install trieste
Installs the Python libraries listed in requirements.txt (or similar).
$ pip install .
Installs the Python libraries listed in requirements.txt (or similar).
pip install -e .
Installs the Python libraries listed in requirements.txt (or similar).
$ pip install -r notebooks/requirements.txt
Installs the Python libraries listed in requirements.txt (or similar).
$ jupyter-notebook notebooks
Type this command into your terminal and run it.
If it runs without errors and prints output in the terminal, it worked.
Pulled directly from this repo's README.
// repository documentation
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