diff options
| author | Yuri Victorovich <yuri@FreeBSD.org> | 2019-12-01 17:52:12 +0000 |
|---|---|---|
| committer | Yuri Victorovich <yuri@FreeBSD.org> | 2019-12-01 17:52:12 +0000 |
| commit | ea9191355fa721062fcc514b837bddd99cbda77f (patch) | |
| tree | 22cde106e7457c3db0ffdad399596c8c8eadb80a /math/py-arviz | |
| parent | 07ec3d2815d69808ca4d645a8a6c90d40f143f22 (diff) | |
Notes
Diffstat (limited to 'math/py-arviz')
| -rw-r--r-- | math/py-arviz/Makefile | 27 | ||||
| -rw-r--r-- | math/py-arviz/distinfo | 3 | ||||
| -rw-r--r-- | math/py-arviz/pkg-descr | 10 |
3 files changed, 40 insertions, 0 deletions
diff --git a/math/py-arviz/Makefile b/math/py-arviz/Makefile new file mode 100644 index 000000000000..9128910867e7 --- /dev/null +++ b/math/py-arviz/Makefile @@ -0,0 +1,27 @@ +# $FreeBSD$ + +PORTNAME= arviz +DISTVERSION= 0.5.1 +CATEGORIES= math python +MASTER_SITES= CHEESESHOP +PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX} + +MAINTAINER= yuri@FreeBSD.org +COMMENT= Package for exploratory analysis of Bayesian models + +LICENSE= APACHE20 +LICENSE_FILE= ${WRKSRC}/LICENSE + +RUN_DEPENDS= ${PYNUMPY} \ + ${PYTHON_PKGNAMEPREFIX}matplotlib>0:math/py-matplotlib@${PY_FLAVOR} \ + ${PYTHON_PKGNAMEPREFIX}netCDF4>0:science/py-netCDF4@${PY_FLAVOR} \ + ${PYTHON_PKGNAMEPREFIX}pandas>=0.23:math/py-pandas@${PY_FLAVOR} \ + ${PYTHON_PKGNAMEPREFIX}scipy>=0.19:science/py-scipy@${PY_FLAVOR} \ + ${PYTHON_PKGNAMEPREFIX}xarray>=0.11:devel/py-xarray@${PY_FLAVOR} + +USES= python +USE_PYTHON= distutils autoplist + +NO_ARCH= yes + +.include <bsd.port.mk> diff --git a/math/py-arviz/distinfo b/math/py-arviz/distinfo new file mode 100644 index 000000000000..769a60d3d4dc --- /dev/null +++ b/math/py-arviz/distinfo @@ -0,0 +1,3 @@ +TIMESTAMP = 1575220065 +SHA256 (arviz-0.5.1.tar.gz) = b0a796cccda61dbd26aad36d0258bb46bb3c412e41176d3b9fbbb49c2a69be12 +SIZE (arviz-0.5.1.tar.gz) = 1321172 diff --git a/math/py-arviz/pkg-descr b/math/py-arviz/pkg-descr new file mode 100644 index 000000000000..824e9c8dc260 --- /dev/null +++ b/math/py-arviz/pkg-descr @@ -0,0 +1,10 @@ +ArviZ is a Python package for exploratory analysis of Bayesian models. Includes +functions for posterior analysis, sample diagnostics, model checking, and +comparison. + +The goal is to provide backend-agnostic tools for diagnostics and visualizations +of Bayesian inference in Python, by first converting inference data into xarray +objects. See here for more on xarray and ArviZ usage and here for more on +InferenceData structure and specification. + +WWW: https://arviz-devs.github.io/arviz/ |