blob: 4d2a56c49ed2d087489c1b05070e2e043723d2fe (
plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
|
pkgbase = python-botorch
pkgdesc = Bayesian Optimization in PyTorch
pkgver = 0.18.0
pkgrel = 1
url = https://github.com/meta-pytorch/botorch
arch = any
license = MIT
checkdepends = python-pytest
makedepends = python-build
makedepends = python-installer
makedepends = python-setuptools
makedepends = python-setuptools-scm
makedepends = python-wheel
depends = python
depends = python-gpytorch
depends = python-linear-operator
depends = python-multipledispatch
depends = python-ninja
depends = python-pyre-extensions
depends = python-pytorch
depends = python-scipy
depends = python-threadpoolctl
depends = python-typing_extensions
optdepends = python-jax: fully Bayesian (SAAS) models via JAX/NUTS sampling
optdepends = python-jaxlib: fully Bayesian (SAAS) models via JAX/NUTS sampling
optdepends = python-numpyro: fully Bayesian (SAAS) models via NUTS sampling
optdepends = python-pymoo: multi-objective optimization utilities [pymoo]
source = https://files.pythonhosted.org/packages/source/b/botorch/botorch-0.18.0.tar.gz
sha256sums = f2928e67b6cff8450891874c0ab97dd59f811ae9169a47543e1dad6c77019f7f
pkgname = python-botorch
|