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authorSunpoet Po-Chuan Hsieh <sunpoet@FreeBSD.org>2020-04-21 19:33:11 +0000
committerSunpoet Po-Chuan Hsieh <sunpoet@FreeBSD.org>2020-04-21 19:33:11 +0000
commit1341ef5df114117d5f36a385b085ac9b2c88d90b (patch)
tree2886ba10c717de90f8cf4bb4a83d31704b52eb23 /science/Makefile
parentb928f3f2b9bf3180aa70740726e8f1ec484b198a (diff)
downloadports-1341ef5df114117d5f36a385b085ac9b2c88d90b.tar.gz
ports-1341ef5df114117d5f36a385b085ac9b2c88d90b.zip
Add py-scikit-optimize 0.7.4
Scikit-Optimize, or skopt, is a simple and efficient library to minimize (very) expensive and noisy black-box functions. It implements several methods for sequential model-based optimization. skopt aims to be accessible and easy to use in many contexts. WWW: https://github.com/scikit-optimize/scikit-optimize
Notes
Notes: svn path=/head/; revision=532295
Diffstat (limited to 'science/Makefile')
-rw-r--r--science/Makefile1
1 files changed, 1 insertions, 0 deletions
diff --git a/science/Makefile b/science/Makefile
index c93ad3cd5057..b531cae4db37 100644
--- a/science/Makefile
+++ b/science/Makefile
@@ -277,6 +277,7 @@
SUBDIR += py-ruffus
SUBDIR += py-scikit-fuzzy
SUBDIR += py-scikit-learn
+ SUBDIR += py-scikit-optimize
SUBDIR += py-scikit-sparse
SUBDIR += py-scimath
SUBDIR += py-scipy