RoBO

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RoBO: a Robust Bayesian Optimization framework

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- sphinx_buil.sh
- - apis.doctree
  - contact.doctree
  - environment.pickle
  - example.doctree
  - index.doctree
  - installation.doctree
  - tutorials.doctree
- - index.html
- - apis.rst.txt
  - contact.rst.txt
  - example.rst.txt
  - index.rst.txt
  - installation.rst.txt
  - tutorials.rst.txt
- - ajax-loader.gif
  - basic.css
  - bootstrap-sphinx.css
  - bootstrap-sphinx.js
  - doctools.js
  - documentation_options.js
  - jquery-3.1.0.js
  - jquery-3.2.1.js
  - jquery.js
  - language_data.js
  - pygments.css
  - searchtools.js
  - underscore-1.3.1.js
  - underscore.js
  - websupport.js
- - apis.rst
  - conf.py
  - contact.rst
  - example.rst
  - index.rst
  - installation.rst
  - tutorials.rst
- .buildinfo
- .gitignore
- .nojekyll
- apis.html
- contact.html
- example.html
- genindex.html
- index.html
- installation.html
- objects.inv
- search.html
- searchindex.js
- tutorials.html
- example_blr.py
- example_bohamiann.py
- example_fabolas.py
- example_fanova.py
- example_fmin.py
- example_hpolib.py
- example_random_search.py
- - __init__.py
  - run_cmaes_surrogate.py
  - run_cmaes_synthetic_funcs.py
  - run_direct_surrogate.py
  - run_direct_synthetic_funcs.py
  - run_fabolas_surrogate.py
  - run_hyperband_surrogate.py
  - run_mtbo_surrogate.py
  - run_robo_surrogate.py
  - run_robo_synthetic_funcs.py
  - run_scipy_surrogate.py
  - run_scipy_synthetic_funcs.py
  - run_smac_surrogate.py
  - run_smac_synthetic_funcs.py
- - run_bo.py
  - run_entropy_search.py
  - run_fabolas.py
  - run_hyperband.py
  - run_mtbo.py
- mtbo.ipynb
- - __init__.py
  - base_acquisition.py
  - ei.py
  - information_gain.py
  - information_gain_mc.py
  - information_gain_per_unit_cost.py
  - lcb.py
  - log_ei.py
  - marginalization.py
  - pi.py
- - __init__.py
  - bayesian_optimization.py
  - entropy_search.py
  - fabolas.py
  - mtbo.py
  - random_search.py
  - warmstart_mtbo.py
- - __init__.py
  - init_grid.py
  - init_latin_hypercube_sampling.py
  - init_random_normal.py
  - init_random_uniform.py
- - __init__.py
  - base_maximizer.py
  - cmaes.py
  - differential_evolution.py
  - direct.py
  - grid_search.py
  - random_sampling.py
  - scipy_optimizer.py
- - __init__.py
  - base_model.py
  - bayesian_linear_regression.py
  - fabolas_gp.py
  - gaussian_process.py
  - gaussian_process_mcmc.py
  - mtbo_gp.py
  - random_forest.py
  - wrapper_bohamiann.py
- - __init__.py
  - base_prior.py
  - bayesian_linear_regression_prior.py
  - default_priors.py
  - env_priors.py
- - __init__.py
  - base_solver.py
  - bayesian_optimization.py
- - __init__.py
  - epmgp.py
  - incumbent_estimation.py
  - mc_part.py
  - normalization.py
  - posterior_optimization.py
- - __init__.py
  - plotting.py
- __init__.py
- - __init__.py
  - test_ei.py
  - test_information_gain.py
  - test_information_gain_per_unit_cost.py
  - test_lcb.py
  - test_log_ei.py
  - test_marginalization.py
  - test_pi.py
- - __init__.py
  - test_fabolas.py
  - test_fmin_interface.py
- - __init__.py
  - test_initial_design.py
- - __init__.py
  - test_maximizers_one_dim.py
  - test_maximizers_two_dim.py
- - __init__.py
  - test_bayesian_linear_regression.py
  - test_gaussian_process.py
  - test_gaussian_process_mcmc.py
  - test_random_forest.py
  - test_wrapper_bohamiann.py
- - __init__.py
  - test_bayesian_optimization.py
- - __init__.py
  - test_incumbent_estimation.py
  - test_mc_part.py
  - test_normalization.py
  - test_posterior_optimization.py
- __init__.py
- dummy_model.py
.gitignore
.landscape.yml
.travis.yml
circle.yml
LICENSE.txt
README.md
requirements.txt
setup.cfg
setup.py

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