From 27e6032f73fe3f8d5df5b05096fa813dad39ef38 Mon Sep 17 00:00:00 2001
From: Jen Herting <jen@herting.cc>
Date: Sun, 26 Sep 2021 03:34:18 -0400
Subject: New package: py-gpyopt (#26232)
Co-authored-by: Sid Pendelberry <sid@rit.edu>
Co-authored-by: Bernhard Kaindl <bernhardkaindl7@gmail.com>
---
.../repos/builtin/packages/py-gpyopt/package.py | 25 ++++++++++++++++++++++
1 file changed, 25 insertions(+)
create mode 100644 var/spack/repos/builtin/packages/py-gpyopt/package.py
diff --git a/var/spack/repos/builtin/packages/py-gpyopt/package.py b/var/spack/repos/builtin/packages/py-gpyopt/package.py
new file mode 100644
index 0000000000..8f55126d1e
--- /dev/null
+++ b/var/spack/repos/builtin/packages/py-gpyopt/package.py
@@ -0,0 +1,25 @@
+# Copyright 2013-2021 Lawrence Livermore National Security, LLC and other
+# Spack Project Developers. See the top-level COPYRIGHT file for details.
+#
+# SPDX-License-Identifier: (Apache-2.0 OR MIT)
+
+from spack import *
+
+
+class PyGpyopt(PythonPackage):
+ """ Performs global optimization with different acquisition functions. Among
+ other functionalities, it is possible to use GPyOpt to optimize physical
+ experiments (sequentially or in batches) and tune the parameters of Machine
+ Learning algorithms. It is able to handle large data sets via sparse
+ Gaussian process models."""
+
+ homepage = "http://sheffieldml.github.io/GPyOpt/"
+ pypi = "GPyOpt/GPyOpt-1.2.6.tar.gz"
+
+ version('1.2.6', sha256='e714daa035bb529a6db23c53665a762a4ab3456b9329c19ad3b03983f94c9b2a')
+
+ depends_on('py-setuptools', type='build')
+ depends_on('py-numpy@1.7:', type=('build', 'run'))
+ depends_on('py-scipy@0.16:', type=('build', 'run'))
+ depends_on('py-gpy@1.8:', type=('build', 'run'))
+ depends_on('py-matplotlib@1.3:', type=('test'))
--
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