bojax/__init__.py,sha256=Qwa6qDdT4lRQQu2Fxe2xN87JzzbJZ49RyB4hFg7kzBg,199
bojax/base.py,sha256=-p32wp6idXt1eKcVD2FaYroL8p_OzbcaaliIdPN18lU,5038
bojax/basic.py,sha256=Z3tGQnURJCtqRCvOiz5uNYbqmkA8Gf0ONIczqTRlu18,2218
bojax/experiment.py,sha256=P9SY29W1lGcN-O1Ie4MUKZqPDMz4EWCACPNPTSnVN2c,3282
bojax/parameter_space.py,sha256=Jxf4fL4zpU673isM0NOeIv3Z1KjaR8-aANotkoKAdrk,5069
bojax/service.py,sha256=jkXyeDXznOdDZekWZXJeRPgNwHxpjoln2empXTZ6Ya4,9503
bojax/utils.py,sha256=e6SYpT9wJhjlvz2V747kR_ijFJR5jBPdKe7jlSF8iJ0,2986
bojax/gaussian_process_formulation/__init__.py,sha256=lGlXngiQ7sEFY_4F8dEddruEoZXn_i7ehEcun6i3J44,70
bojax/gaussian_process_formulation/bayesian_optimiser.py,sha256=2gOFkXis4se2KkFd-etEzAbKX_a7KahjRQv--mB-YAw,10678
bojax/gaussian_process_formulation/distribution_math.py,sha256=cQuNpxKDCpxqWDhBFmyjZt5zfMBLgnOAPbNSiS8_GGs,15665
bojax/gaussian_process_formulation/multi_step_lookahead.py,sha256=mZpR4F7Svn8NmevN-V3vzgfkET66s-Vpa1776QfWi0c,9088
bojax/gaussian_process_formulation/tests/__init__.py,sha256=AbpHGcgLb-kRsJGnwFEktk7uzpZOCcBY74-YBdrKVGs,1
bojax/gaussian_process_formulation/tests/test_bayesian_optimiser.py,sha256=iuV9mjdNHi476ZXa-gH0ZuocLIgcq1KuMckWsUwtl94,4904
bojax/gaussian_process_formulation/tests/test_distribution_maths.py,sha256=wWskKLyKlcpANtnRdALr6ZC3PUreQdTkcu46Y74759E,5939
bojax/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
bojax/tests/test_experiment.py,sha256=W2_3gklhSZUzi_lMGSOtk5foB3WjRoBdms-WqLdmBzk,2181
bojax/tests/test_parameter_space.py,sha256=DWBQZH-0s2K-ptLtUZIW9XwxEs0nbNPb6GRX7c5L1jc,3508
bojax/tests/test_utils.py,sha256=AkpLHE_8zE-hY-vc1m1g1vJ7MwXUWBy1JGupY6dfzZw,622
bojaxns/__init__.py,sha256=Qwa6qDdT4lRQQu2Fxe2xN87JzzbJZ49RyB4hFg7kzBg,199
bojaxns/base.py,sha256=-p32wp6idXt1eKcVD2FaYroL8p_OzbcaaliIdPN18lU,5038
bojaxns/basic.py,sha256=Z3tGQnURJCtqRCvOiz5uNYbqmkA8Gf0ONIczqTRlu18,2218
bojaxns/experiment.py,sha256=P9SY29W1lGcN-O1Ie4MUKZqPDMz4EWCACPNPTSnVN2c,3282
bojaxns/parameter_space.py,sha256=Jxf4fL4zpU673isM0NOeIv3Z1KjaR8-aANotkoKAdrk,5069
bojaxns/service.py,sha256=jkXyeDXznOdDZekWZXJeRPgNwHxpjoln2empXTZ6Ya4,9503
bojaxns/utils.py,sha256=e6SYpT9wJhjlvz2V747kR_ijFJR5jBPdKe7jlSF8iJ0,2986
bojaxns/gaussian_process_formulation/__init__.py,sha256=lGlXngiQ7sEFY_4F8dEddruEoZXn_i7ehEcun6i3J44,70
bojaxns/gaussian_process_formulation/bayesian_optimiser.py,sha256=2gOFkXis4se2KkFd-etEzAbKX_a7KahjRQv--mB-YAw,10678
bojaxns/gaussian_process_formulation/distribution_math.py,sha256=cQuNpxKDCpxqWDhBFmyjZt5zfMBLgnOAPbNSiS8_GGs,15665
bojaxns/gaussian_process_formulation/multi_step_lookahead.py,sha256=mZpR4F7Svn8NmevN-V3vzgfkET66s-Vpa1776QfWi0c,9088
bojaxns/gaussian_process_formulation/tests/__init__.py,sha256=AbpHGcgLb-kRsJGnwFEktk7uzpZOCcBY74-YBdrKVGs,1
bojaxns/gaussian_process_formulation/tests/test_bayesian_optimiser.py,sha256=iuV9mjdNHi476ZXa-gH0ZuocLIgcq1KuMckWsUwtl94,4904
bojaxns/gaussian_process_formulation/tests/test_distribution_maths.py,sha256=wWskKLyKlcpANtnRdALr6ZC3PUreQdTkcu46Y74759E,5939
bojaxns/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
bojaxns/tests/test_experiment.py,sha256=W2_3gklhSZUzi_lMGSOtk5foB3WjRoBdms-WqLdmBzk,2181
bojaxns/tests/test_parameter_space.py,sha256=DWBQZH-0s2K-ptLtUZIW9XwxEs0nbNPb6GRX7c5L1jc,3508
bojaxns/tests/test_utils.py,sha256=AkpLHE_8zE-hY-vc1m1g1vJ7MwXUWBy1JGupY6dfzZw,622
bojaxns-1.0.1.dist-info/LICENSE,sha256=e2zsCzJWVy00jHnDfo6BIJhIsJOjKebO461-GgZLeic,2553
bojaxns-1.0.1.dist-info/METADATA,sha256=dH6el_rNQXPy9hfFVSWKdWpc4Ly99EEo3kMd7wrizFo,2106
bojaxns-1.0.1.dist-info/WHEEL,sha256=pkctZYzUS4AYVn6dJ-7367OJZivF2e8RA9b_ZBjif18,92
bojaxns-1.0.1.dist-info/top_level.txt,sha256=epmXORXhAQHSZ8KtC-KQwzFWaClUlzz5mXpiCu026Pc,8
bojaxns-1.0.1.dist-info/RECORD,,
