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authorYuri Victorovich <yuri@FreeBSD.org>2018-12-18 06:20:06 +0000
committerYuri Victorovich <yuri@FreeBSD.org>2018-12-18 06:20:06 +0000
commit6bb36770f52b40b1fbdee711ffbfa1f3aa1cfc3f (patch)
tree3728f14f17325a00328b3e941fcb7e87f54e6ebc /science/py-paramz
parentf6c94712d1804a9000795f6c0e36ca9374fa5e87 (diff)
Notes
Diffstat (limited to 'science/py-paramz')
-rw-r--r--science/py-paramz/Makefile25
-rw-r--r--science/py-paramz/distinfo3
-rw-r--r--science/py-paramz/pkg-descr17
3 files changed, 45 insertions, 0 deletions
diff --git a/science/py-paramz/Makefile b/science/py-paramz/Makefile
new file mode 100644
index 000000000000..cb51dc983e6e
--- /dev/null
+++ b/science/py-paramz/Makefile
@@ -0,0 +1,25 @@
+# $FreeBSD$
+
+PORTNAME= paramz
+DISTVERSION= 0.9.4
+CATEGORIES= science python
+MASTER_SITES= CHEESESHOP
+PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX}
+
+MAINTAINER= yuri@FreeBSD.org
+COMMENT= Parameterization framework
+
+LICENSE= BSD3CLAUSE
+LICENSE_FILE= ${WRKSRC}/LICENSE
+
+RUN_DEPENDS= ${PYNUMPY} \
+ ${PYTHON_PKGNAMEPREFIX}decorator>=4.0.10:devel/py-decorator@${PY_FLAVOR} \
+ ${PYTHON_PKGNAMEPREFIX}scipy>0:science/py-scipy@${PY_FLAVOR} \
+ ${PYTHON_PKGNAMEPREFIX}six>0:devel/py-six@${PY_FLAVOR}
+
+USES= python
+USE_PYTHON= distutils autoplist
+
+NO_ARCH= yes
+
+.include <bsd.port.mk>
diff --git a/science/py-paramz/distinfo b/science/py-paramz/distinfo
new file mode 100644
index 000000000000..7ec718d43f7c
--- /dev/null
+++ b/science/py-paramz/distinfo
@@ -0,0 +1,3 @@
+TIMESTAMP = 1545112822
+SHA256 (paramz-0.9.4.tar.gz) = 179ca77a965e6e724217257793e3c8c022285ea2190a85e0826ac98dea316219
+SIZE (paramz-0.9.4.tar.gz) = 70747
diff --git a/science/py-paramz/pkg-descr b/science/py-paramz/pkg-descr
new file mode 100644
index 000000000000..63be464b97d4
--- /dev/null
+++ b/science/py-paramz/pkg-descr
@@ -0,0 +1,17 @@
+Parameterization Framework for parameterized model creation and handling. This
+is a lightweight framework for using parameterized models.
+
+Features:
+* Easy model creation with parameters
+* Fast optimized access of parameters for optimization routines
+* Memory efficient storage of parameters (only one copy in memory)
+* Renaming of parameters
+* Intuitive printing of models and parameters
+* Gradient saving directly inside parameters
+* Gradient checking of parameters
+* Optimization of parameters
+* Jupyter notebook integration
+* Efficient storage of models, for reloading
+* Efficient caching included
+
+WWW: https://github.com/sods/paramz