Wheelodex » Projects » boax

boax

View on PyPI — Reverse Dependencies (0)

0.1.1 boax-0.1.1-py3-none-any.whl

Wheel Details

Project: boax
Version: 0.1.1
Filename: boax-0.1.1-py3-none-any.whl
Download: [link]
Size: 66305
MD5: dc61ee5ac6ae9bfce21b9ca70ad482b5
SHA256: 14bbf252d606d11b0bb001b4b7f1745e2ee380ffb8c89c857049b6df63fceca5
Uploaded: 2024-04-04 20:46:37 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: boax
Version: 0.1.1
Summary: Boax is a Bayesian Optimization library for JAX.
Project-Url: homepage, https://github.com/Lando-L/boax
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: >=3.11
Requires-Dist: numpy (>=1.26.2)
Requires-Dist: jax (>=0.4.20)
Requires-Dist: jaxlib (>=0.4.20)
Requires-Dist: chex (>=0.1.84)
Requires-Dist: ipython (>=8.18.1); extra == "docs"
Requires-Dist: matplotlib (>=3.8.2); extra == "docs"
Requires-Dist: myst-nb (>=1.0.0); extra == "docs"
Requires-Dist: optax (>=0.1.7); extra == "docs"
Requires-Dist: sphinx (>=6.2.1); extra == "docs"
Requires-Dist: sphinx-autodoc-typehints (>=1.23.0); extra == "docs"
Requires-Dist: sphinx-book-theme (>=1.1.2); extra == "docs"
Requires-Dist: absl-py (>=2.0.0); extra == "tests"
Requires-Dist: pytest (>=7.4.3); extra == "tests"
Requires-Dist: pytest-cov (>=4.1.0); extra == "tests"
Provides-Extra: docs
Provides-Extra: tests
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 2884 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.43.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
boax/__init__.py sha256=Ma-vL-7I78ENN9QZSxGoqdjzV-loDuhnDNK9bH7ODE0 741
boax/version.py sha256=leXzOZt0I5eE7nge_ww0aUX3l-Y4_IHlyn1e0vyNvrE 651
boax/core/__init__.py sha256=pr1QGArH575DdtedZ1EB4lCmuxXvGukus2AxEoY4u5E 686
boax/core/distributions/__init__.py sha256=Ov2hBYV7auuxKvnRP2FXatVqhrOB6Yn1XrINw7pIGLw 929
boax/core/distributions/beta.py sha256=17kloWUaeKOdlvnJZ6zWMy-xmy0nHikKgLyzkL3l-AY 2892
boax/core/distributions/gamma.py sha256=3B3fqPlHNDN6NgYBAJqnZolnWqXoKBRMxn_VJIUQmLo 2973
boax/core/distributions/multivariate_normal.py sha256=O-RQUmEypHnVOF3L8uzFPJYgquz6lnlC_dmMICnpO0E 2825
boax/core/distributions/normal.py sha256=iD3cNC6GXQQVrn1Y8E3lQNJPn0DorCMCXVeY-lKmrvY 3680
boax/core/distributions/poisson.py sha256=XEK9aWCukJPqrWI_ttjdGdhG2yahzULVPKXi8a3Ceb4 1969
boax/core/distributions/transformed.py sha256=vMcVQlok5YcHFZjnwlyDvWXR16Sl9w-OQ7hCCpcigNs 1471
boax/core/distributions/uniform.py sha256=5BovtsxoE9M6fnf4biwU_IyljerhCPaeG7l4-jzwaIE 2243
boax/core/samplers/__init__.py sha256=ihSXQdUZg9IPQAnAx7xhqe4KDq2JgN-7tV9Zasp8pis 754
boax/core/samplers/alias.py sha256=vh8cnNhj9LR1XclhnH-Fuj0kdqEC38_539jdOeKKAQE 2650
boax/core/samplers/base.py sha256=pkoZGa3GR46q-nRZUnSqSCwUvD6BJyIHGkO61moee88 1154
boax/core/samplers/functions/__init__.py sha256=MuYrkJOTvqtuMGJzRethP-QHdrJXHxgeP1Yzb1_zrlc 696
boax/core/samplers/functions/quasi_random.py sha256=U_1lUZCR_HJvjjImXqTUAIvYlzkxhugdPdzrc0JPu0g 2886
boax/core/samplers/functions/utils.py sha256=poUd0Q-FAvj7Traze4riuplXqmkLi_sjOZzlGmQGaFw 1342
boax/optimization/__init__.py sha256=rj66EOtk8q-WjvjnX914bpTOvjLGuCH7CT6LrChqUFA 696
boax/optimization/acquisitions/__init__.py sha256=X06cL06orF0iNYpjKRCZsgdrfC3d1Lpn5MIdb6Sa4iA 1578
boax/optimization/acquisitions/alias.py sha256=KLaPYCfkhIPUdBMuPndi16P6ZgtcfA4ktBKczBV7Iws 8248
boax/optimization/acquisitions/base.py sha256=U3YndKPcXW5IWT5dmoFUB3oQhxXf1SOMl_dipqOAL_Y 1176
boax/optimization/acquisitions/transformed.py sha256=gvbBI5XQtn3QjYT48CtNiJUU1Ln9YHCFFMnFARHE50g 1826
boax/optimization/acquisitions/constraints/__init__.py sha256=NLF52s7vQx-4ikypfk-n7HUIhIXOiUJCcLxSgPrMOcE 888
boax/optimization/acquisitions/constraints/alias.py sha256=FrAD-p_MJ-2nULKjvy1Cfhh2mAy2I33GiVMFhfm2Sk4 2908
boax/optimization/acquisitions/constraints/base.py sha256=XMnrXYEXWR5l5q4h7UdDMhzDAUO9cLDqpv38DOtdpBU 1172
boax/optimization/acquisitions/functions/__init__.py sha256=iaZOd0fY2NiX_1PU4RT145Ejze67DxqkSeSuGH3g48o 704
boax/optimization/acquisitions/functions/analytic.py sha256=zgogf3ybRp3PE8n2LFqBunfhprReaRLxRpDeKh5w2Uo 2147
boax/optimization/acquisitions/functions/monte_carlo.py sha256=ieyA9oboBRNDsHYOeEV8HWJYC6pCyXmlivVC4SfeWTQ 1041
boax/optimization/optimizers/__init__.py sha256=S94Rvo04Ef2-GqSxYwIK6ektV5qM6NXWJ79s55DPzkY 690
boax/optimization/optimizers/alias.py sha256=mDj6VdA9AG1odskevN4lLy77MTmiLe4BY2OMt9hNB_w 1638
boax/optimization/optimizers/base.py sha256=2YwgoBuycl7XA5Yf2PY0avEQGuhUyI8xqqXufyZGuKI 1927
boax/optimization/optimizers/functions/__init__.py sha256=eGwiyAeK2urfIbxNx6NIXtuTEJjuLDpOOmJO9qrmrR4 702
boax/optimization/optimizers/functions/initialization.py sha256=RVz3ex0FZh3hQbtPoIF4NDQN9Po6yujtligrYootLHc 1001
boax/optimization/optimizers/functions/scipy.py sha256=TW8u54XzS_FA4Ht41T-JyrmR1xMghpMJh6R-6eLtfdY 1313
boax/prediction/__init__.py sha256=8v45BOm8QkUOrTKR6WCkwL5KDG9h6UDSbUGpiep340E 682
boax/prediction/models/__init__.py sha256=j-dkQOYMnMOjMMQtYqgae4HymhxkRFsKVz7EcHZswmI 1117
boax/prediction/models/alias.py sha256=s5Px4bcYC17CjEGhgjf6d_bNB_UCntetPoIaJAhi6dY 3921
boax/prediction/models/base.py sha256=JeJQ-CX0stz8reagl8PbzcGRL4bgJqmT93nspNaoVys 1174
boax/prediction/models/transformed.py sha256=6o5lYCCxbix6aP7ERwpKQRUU0Gu3Fa3ntocUaX4TVfk 3294
boax/prediction/models/functions/__init__.py sha256=-KXh254Ddgzq9ja4VidkwdxlQwMJ3bdvCoX9SeJ-a_4 708
boax/prediction/models/functions/gaussian.py sha256=XxPTMF-S3Jj04jUbgpUVYIrjsz-A0mlW3xcKmFvos6Y 3130
boax/prediction/models/functions/multi_fidelity.py sha256=r1RpciJK_Jz_e1l1gJ_nHiUMUb9YqI6G1E0YZF6lHBA 2477
boax/prediction/models/kernels/__init__.py sha256=nAcABqV1cSO3ZadheNZM6IC6fK40XufMClYsYlOUhos 1089
boax/prediction/models/kernels/alias.py sha256=ZlIJBwzcFVEKfSSaGnoCSzdQcCmk9sZcP_AWxNwk9mk 3641
boax/prediction/models/kernels/base.py sha256=GX5XVwMs-_qLUUxXEPOfhh0kX677vdd2IJf-cMwOxdA 1145
boax/prediction/models/kernels/transformed.py sha256=8j26DSa-dRSMj6qlGpqo7p8Qwqie2m-ePFOFTGgLmHA 3382
boax/prediction/models/kernels/functions/__init__.py sha256=B4daklmC2mBjfGbzdem22Gl0xR1qpidTwaucfdeDkk4 743
boax/prediction/models/kernels/functions/distance.py sha256=lB93Sm9u_QyGPJ8qb498skbPGgo8HHsv-xRWRXAMYk4 1456
boax/prediction/models/kernels/functions/matern.py sha256=WcJEeXvotaKaqosdnrWi_bbTIOKfZ2cNq5fyYAJ25Vw 1331
boax/prediction/models/kernels/functions/periodic.py sha256=26dRpu-p7rhqS6TdRvWldrjr9poUkcn16hSchYnSwyM 946
boax/prediction/models/kernels/functions/rbf.py sha256=1IoDnjbcP225kTP1oJJo6urpfSQ_hM_wFg_M8vANx7M 903
boax/prediction/models/kernels/functions/utils.py sha256=REUPgWVwqeArt7nctgMe0Y4P_wdtmN84LY47nKxMJzs 1092
boax/prediction/models/likelihoods/__init__.py sha256=j7Unc3kTwUwdBzidEqm5UNnKn1RUtRtBZ3PDXMxVvyE 729
boax/prediction/models/likelihoods/alias.py sha256=tdZBN_KnML1HNNTaA0N5NMfF9iUyz_mQ5fSV3r8Iq-I 1720
boax/prediction/models/likelihoods/base.py sha256=QyOHCJ0TXIj4_Aj0LaqPWuQvpcoHeQMtdND381aNTHk 1036
boax/prediction/models/likelihoods/functions/__init__.py sha256=Fzn56zQXifP05b_78kkeHSMgXDo85zjeYnKPj5GOiso 703
boax/prediction/models/likelihoods/functions/conditional.py sha256=dRSTHcy0Gfroywe5sOTRP9uajpD0Jip4RyZclOQJgG8 936
boax/prediction/models/likelihoods/functions/marginal.py sha256=QQb-eaZniQjAXFY52JPl4zYOgFakvoRCnZMPsm4f5pc 998
boax/prediction/models/means/__init__.py sha256=dbcW0jiQdC2F2rF5tl1q5JjE-KBvOBbdqbzz0YI72Bg 751
boax/prediction/models/means/alias.py sha256=my6X-8h2tDY-ZmYy1sIXjf38LzEDMrraDni9NyA71aA 1626
boax/prediction/models/means/base.py sha256=Rqa48WotruYdXnGNgU1tb0rCbzANH_7u0BGO7s6BQnQ 1114
boax/prediction/objectives/__init__.py sha256=16qEnfSmeYIihauzLsm_WLQ59bcPe7JdTxoNtCgc54A 776
boax/prediction/objectives/alias.py sha256=l9hU08YjS7i2eD_F4pGzkbe_XDWZFkx9Qyf7Oovkm7I 1277
boax/prediction/objectives/base.py sha256=gbPV9w_HrKlGL2X7GkIDPFuS_87lJQf2ccgFN3ZtraU 1205
boax/prediction/objectives/transformed.py sha256=gMFjdUKRyRa6whiUrQ7LjI5R3oMeLR1pkVKP5LNsUio 1234
boax/utils/__init__.py sha256=PB5yaRxmVcwuR6CgyBLQ13LDun2I19rBlc3nU-3fl6g 682
boax/utils/functools.py sha256=fTTwRAsBTbzZQE9-RdsQ32NLbG_mBk0jMV4y8x1KaHc 3928
boax/utils/typing.py sha256=e_kMC5J6MGd0nZJnSwJPed0XBgKS8l1S7UyiXTYSooI 691
boax-0.1.1.dist-info/LICENSE sha256=xx0jnfkXJvxRnG63LTGOxlggYnIysveWIZ6H3PNdCrQ 11357
boax-0.1.1.dist-info/METADATA sha256=4DXTjpeuE4pVLtNPLcMxHzBnhMhuKCpbYJH5LAhpWCg 4191
boax-0.1.1.dist-info/WHEEL sha256=GJ7t_kWBFywbagK5eo9IoUwLW6oyOeTKmQ-9iHFVNxQ 92
boax-0.1.1.dist-info/top_level.txt sha256=YCPgKP_r9m5ZuTKcsQdJUHVHAo4LUuh475IM4Dvb2pw 5
boax-0.1.1.dist-info/RECORD — —

top_level.txt

boax