svn commit: r552155 - in head/math: . py-ssm
Yuri Victorovich
yuri at FreeBSD.org
Mon Oct 12 23:15:21 UTC 2020
Author: yuri
Date: Mon Oct 12 23:15:19 2020
New Revision: 552155
URL: https://svnweb.freebsd.org/changeset/ports/552155
Log:
New port: math/py-ssm: Bayesian learning and inference for state space models
Added:
head/math/py-ssm/
head/math/py-ssm/Makefile (contents, props changed)
head/math/py-ssm/distinfo (contents, props changed)
head/math/py-ssm/pkg-descr (contents, props changed)
Modified:
head/math/Makefile
Modified: head/math/Makefile
==============================================================================
--- head/math/Makefile Mon Oct 12 22:31:08 2020 (r552154)
+++ head/math/Makefile Mon Oct 12 23:15:19 2020 (r552155)
@@ -837,6 +837,7 @@
SUBDIR += py-snuggs
SUBDIR += py-spectral
SUBDIR += py-spot
+ SUBDIR += py-ssm
SUBDIR += py-statsmodels
SUBDIR += py-statsmodels010
SUBDIR += py-svgmath
Added: head/math/py-ssm/Makefile
==============================================================================
--- /dev/null 00:00:00 1970 (empty, because file is newly added)
+++ head/math/py-ssm/Makefile Mon Oct 12 23:15:19 2020 (r552155)
@@ -0,0 +1,32 @@
+# $FreeBSD$
+
+PORTNAME= ssm
+DISTVERSION= 0.0.1
+CATEGORIES= math python
+MASTER_SITES= CHEESESHOP
+PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX}
+
+MAINTAINER= yuri at FreeBSD.org
+COMMENT= Bayesian learning and inference for state space models
+
+LICENSE= MIT
+
+PY_DEPENDS= ${PYNUMPY} \
+ ${PYTHON_PKGNAMEPREFIX}autograd>0:math/py-autograd@${PY_FLAVOR} \
+ ${PYTHON_PKGNAMEPREFIX}future>0:devel/py-future@${PY_FLAVOR} \
+ ${PYTHON_PKGNAMEPREFIX}matplotlib>0:math/py-matplotlib@${PY_FLAVOR} \
+ ${PYTHON_PKGNAMEPREFIX}numba>0:devel/py-numba@${PY_FLAVOR} \
+ ${PYTHON_PKGNAMEPREFIX}scipy>0:science/py-scipy@${PY_FLAVOR} \
+ ${PYTHON_PKGNAMEPREFIX}scikit-learn>0:science/py-scikit-learn@${PY_FLAVOR} \
+ ${PYTHON_PKGNAMEPREFIX}seaborn>0:math/py-seaborn@${PY_FLAVOR} \
+ ${PYTHON_PKGNAMEPREFIX}tqdm>0:misc/py-tqdm@${PY_FLAVOR}
+BUILD_DEPENDS= ${PY_DEPENDS}
+RUN_DEPENDS= ${PY_DEPENDS}
+
+USES= python
+USE_PYTHON= distutils cython concurrent autoplist
+
+post-install:
+ ${STRIP_CMD} ${STAGEDIR}${PYTHONPREFIX_SITELIBDIR}/${PORTNAME}/*.so
+
+.include <bsd.port.mk>
Added: head/math/py-ssm/distinfo
==============================================================================
--- /dev/null 00:00:00 1970 (empty, because file is newly added)
+++ head/math/py-ssm/distinfo Mon Oct 12 23:15:19 2020 (r552155)
@@ -0,0 +1,3 @@
+TIMESTAMP = 1602537377
+SHA256 (ssm-0.0.1.tar.gz) = b3eca53d3049306097de5977bb5c663f0c5f11db14e77ad7515c2902067f0458
+SIZE (ssm-0.0.1.tar.gz) = 309185
Added: head/math/py-ssm/pkg-descr
==============================================================================
--- /dev/null 00:00:00 1970 (empty, because file is newly added)
+++ head/math/py-ssm/pkg-descr Mon Oct 12 23:15:19 2020 (r552155)
@@ -0,0 +1,21 @@
+This package has fast and flexible code for simulating, learning, and performing
+inference in a variety of state space models. Currently, it supports:
+* Hidden Markov Models (HMM)
+* Auto-regressive HMMs (ARHMM)
+* Input-output HMMs (IOHMM)
+* Hidden Semi-Markov Models (HSMM)
+* Linear Dynamical Systems (LDS)
+* Switching Linear Dynamical Systems (SLDS)
+* Recurrent SLDS (rSLDS)
+* Hierarchical extensions of the above
+* Partial observations and missing data
+
+It supports the following observation models:
+* Gaussian
+* Student's
+* Bernoulli
+* Poisson
+* Categorical
+* Von Mises
+
+WWW: https://github.com/lindermanlab/ssm
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