trieste
A Bayesian optimization toolbox built on TensorFlow
파일 탐색기
최종 버전 다운로드 (.zip)- bug_report.md
- feature_request.md
- deploy.yaml
- develop-checks.yaml
- develop-deploy.yaml
- quality-checks.yaml
- release-checks.yaml
- pull_request_template.md
- constraints.txt
- requirements.txt
- constraints.txt
- requirements.txt
- constraints.txt
- requirements.txt
- custom.css
- logo.png
- async_bo.png
- tensorboard_bo.png
- tensorboard_custom.png
- tensorboard_custom_rule.png
- tensorboard_empty.png
- tensorboard_pairplot.png
- crash.mp4
- generate_video.py
- out_of_bounds.mp4
- slam.mp4
- success.mp4
- timeout.mp4
- active_learning.yaml
- active_learning_for_binary_classification.yaml
- ask_tell_optimization.yaml
- asynchronous_greedy_multiprocessing.yaml
- asynchronous_nongreedy_batch_ray.yaml
- batch_optimization.yaml
- data_transformation.yaml
- deep_ensembles.yaml
- deep_gaussian_processes.yaml
- expected_improvement.yaml
- explicit_constraints.yaml
- failure_ego.yaml
- feasible_sets.yaml
- hierarchical_search_space_constraints.yaml
- inequality_constraints.yaml
- log_expected_improvement.yaml
- mixed_search_spaces.yaml
- multi_objective_ehvi.yaml
- openai_gym_lunar_lander.yaml
- qhsri-tutorial.yaml
- quickrun.py
- recovering_from_errors.yaml
- rembo.yaml
- scalable_thompson_sampling_using_sparse_gaussian_processes.yaml
- thompson_sampling.yaml
- visualizing_with_tensorboard.yaml
- active_learning.pct.py
- active_learning_for_binary_classification.pct.py
- ask_tell_optimization.pct.py
- asynchronous_greedy_multiprocessing.pct.py
- asynchronous_nongreedy_batch_ray.pct.py
- batch_optimization.pct.py
- code_overview.pct.py
- constraints.txt
- data_transformation.pct.py
- deep_ensembles.pct.py
- deep_gaussian_processes.pct.py
- expected_improvement.pct.py
- explicit_constraints.pct.py
- failure_ego.pct.py
- feasible_sets.pct.py
- hierarchical_search_space.pct.py
- hierarchical_search_space_constraints.pct.py
- hierarchical_search_space_gpflow_kernel.pct.py
- inequality_constraints.pct.py
- log_expected_improvement.pct.py
- mixed_search_spaces.pct.py
- multi_objective_ehvi.pct.py
- multifidelity_modelling.pct.py
- openai_gym_lunar_lander.pct.py
- qhsri-tutorial.pct.py
- recovering_from_errors.pct.py
- rembo.pct.py
- requirements.txt
- scalable_thompson_sampling_using_sparse_gaussian_processes.pct.py
- thompson_sampling.pct.py
- trust_region.pct.py
- visualizing_with_tensorboard.pct.py
- .gitignore
- bibliography.rst
- conf.py
- constraints.txt
- index.rst
- make.bat
- Makefile
- README.md
- refs.bib
- requirements.txt
- tutorials.rst
- __init__.py
- test_predictions.py
- test_predictions.py
- 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
- __init__.py
- test_active_learning.py
- test_continuous_thompson_sampling.py
- test_entropy.py
- test_function.py
- test_greedy_batch.py
- test_utils.py
- __init__.py
- test_dominance.py
- test_function.py
- test_pareto.py
- test_partition.py
- __init__.py
- test_combination.py
- test_interface.py
- test_optimizer.py
- test_rule.py
- test_sampler.py
- test_utils.py
- __init__.py
- test_builders.py
- test_inducing_point_selectors.py
- test_interface.py
- test_models.py
- test_sampler.py
- test_utils.py
- __init__.py
- test_builders.py
- test_interface.py
- test_models.py
- test_sampler.py
- __init__.py
- test_architectures.py
- test_builders.py
- test_interface.py
- test_models.py
- test_sampler.py
- test_utils.py
- __init__.py
- conftest.py
- test_interfaces.py
- test_optimizer.py
- test_utils.py
- __init__.py
- test_multi_objectives.py
- 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
- models.py
- test_models.py
- __init__.py
- models.py
- __init__.py
- models.py
- __init__.py
- models.py
- __init__.py
- misc.py
- __init__.py
- conftest.py
- __init__.py
- active_learning.py
- continuous_thompson_sampling.py
- entropy.py
- function.py
- greedy_batch.py
- multi_objective.py
- utils.py
- __init__.py
- dominance.py
- pareto.py
- partition.py
- __init__.py
- combination.py
- interface.py
- optimizer.py
- rule.py
- sampler.py
- utils.py
- __init__.py
- inequality_constraints.py
- plotting.py
- plotting_plotly.py
- __init__.py
- __init__.py
- builders.py
- inducing_point_selectors.py
- interface.py
- models.py
- optimizer.py
- sampler.py
- 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
- data.py
- logging.py
- observer.py
- py.typed
- space.py
- types.py
- VERSION
- version.py
- .gitignore
- CITATION.cff
- CODE_OF_CONDUCT.md
- CONTRIBUTING.md
- generate_constraints.sh
- LICENSE
- notebooks
- pyproject.toml
- README.md
- redirect.html
- redirect_autoapi.html
- redirect_tutorials.html
- setup.py
- tox.ini
- versions.json
# 설치 가이드
1. 코드 내려받기
git clone https://github.com/secondmind-labs/trieste
깃허브에서 프로젝트 코드 전체를 내 컴퓨터로 내려받습니다.
cd trieste
방금 내려받은 프로젝트 폴더 안으로 이동합니다.
2. Python
쉬움 추천사전 준비물
$ pip install trieste
requirements.txt 등에 명시된 파이썬 라이브러리를 설치합니다.
$ pip install .
requirements.txt 등에 명시된 파이썬 라이브러리를 설치합니다.
pip install -e .
requirements.txt 등에 명시된 파이썬 라이브러리를 설치합니다.
$ pip install -r notebooks/requirements.txt
requirements.txt 등에 명시된 파이썬 라이브러리를 설치합니다.
$ jupyter-notebook notebooks
이 명령어를 터미널에 그대로 입력해 실행하세요.
에러 메시지 없이 실행되고 터미널에 안내 문구가 출력되면 정상입니다.
이 레포의 README에 적힌 실제 명령어를 그대로 가져왔습니다.
// repository documentation
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