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[pkgsrc/trunk]: pkgsrc/math/py-pymc3 math/py-pymc3: Import version 3.4.1
details: https://anonhg.NetBSD.org/pkgsrc/rev/4b212d9a1ec6
branches: trunk
changeset: 382507:4b212d9a1ec6
user: minskim <minskim%pkgsrc.org@localhost>
date: Fri Jul 06 03:46:43 2018 +0000
description:
math/py-pymc3: Import version 3.4.1
PyMC3 is a Python package for Bayesian statistical modeling and
Probabilistic Machine Learning focusing on advanced Markov chain Monte
Carlo (MCMC) and variational inference (VI) algorithms. Its
flexibility and extensibility make it applicable to a large suite of
problems.
diffstat:
math/py-pymc3/DESCR | 5 +
math/py-pymc3/Makefile | 30 ++
math/py-pymc3/PLIST | 504 +++++++++++++++++++++++++++++++++++++++++++++++++
math/py-pymc3/distinfo | 6 +
4 files changed, 545 insertions(+), 0 deletions(-)
diffs (truncated from 561 to 300 lines):
diff -r ec508a271c33 -r 4b212d9a1ec6 math/py-pymc3/DESCR
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/math/py-pymc3/DESCR Fri Jul 06 03:46:43 2018 +0000
@@ -0,0 +1,5 @@
+PyMC3 is a Python package for Bayesian statistical modeling and
+Probabilistic Machine Learning focusing on advanced Markov chain Monte
+Carlo (MCMC) and variational inference (VI) algorithms. Its
+flexibility and extensibility make it applicable to a large suite of
+problems.
diff -r ec508a271c33 -r 4b212d9a1ec6 math/py-pymc3/Makefile
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/math/py-pymc3/Makefile Fri Jul 06 03:46:43 2018 +0000
@@ -0,0 +1,30 @@
+# $NetBSD: Makefile,v 1.1 2018/07/06 03:46:43 minskim Exp $
+
+DISTNAME= pymc3-3.4.1
+PKGNAME= ${PYPKGPREFIX}-${DISTNAME}
+CATEGORIES= math
+MASTER_SITES= ${MASTER_SITE_PYPI:=p/pymc3/}
+
+MAINTAINER= minskim%NetBSD.org@localhost
+HOMEPAGE= https://github.com/pymc-devs/pymc3
+COMMENT= Bayesian modeling and probabilistic machine learning
+LICENSE= apache-2.0
+
+DEPENDS+= ${PYPKGPREFIX}-h5py>=2.7.0:../../devel/py-h5py
+DEPENDS+= ${PYPKGPREFIX}-joblib>=0.9:../../devel/py-joblib
+DEPENDS+= ${PYPKGPREFIX}-matplotlib>=1.5.0:../../graphics/py-matplotlib
+DEPENDS+= ${PYPKGPREFIX}-pandas>=0.18.0:../../math/py-pandas
+DEPENDS+= ${PYPKGPREFIX}-patsy>=0.4.0:../../math/py-patsy
+DEPENDS+= ${PYPKGPREFIX}-six>=1.10.0:../../lang/py-six
+DEPENDS+= ${PYPKGPREFIX}-Theano>=1.0.0:../../math/py-Theano
+DEPENDS+= ${PYPKGPREFIX}-tqdm>=4.8.4:../../misc/py-tqdm
+
+.include "../../lang/python/pyversion.mk"
+.if "${PYPKGPREFIX}" == "py27"
+DEPENDS+= ${PYPKGPREFIX}-enum34>=1.1.6:../../devel/py-enum34
+.endif
+
+.include "../../lang/python/egg.mk"
+BUILDLINK_API_DEPENDS.py-numpy+= ${PYPKGPREFIX}-numpy>=1.13.0
+.include "../../math/py-numpy/buildlink3.mk"
+.include "../../mk/bsd.pkg.mk"
diff -r ec508a271c33 -r 4b212d9a1ec6 math/py-pymc3/PLIST
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/math/py-pymc3/PLIST Fri Jul 06 03:46:43 2018 +0000
@@ -0,0 +1,504 @@
+@comment $NetBSD: PLIST,v 1.1 2018/07/06 03:46:43 minskim Exp $
+${PYSITELIB}/${EGG_INFODIR}/PKG-INFO
+${PYSITELIB}/${EGG_INFODIR}/SOURCES.txt
+${PYSITELIB}/${EGG_INFODIR}/dependency_links.txt
+${PYSITELIB}/${EGG_INFODIR}/requires.txt
+${PYSITELIB}/${EGG_INFODIR}/top_level.txt
+${PYSITELIB}/pymc3/__init__.py
+${PYSITELIB}/pymc3/__init__.pyc
+${PYSITELIB}/pymc3/__init__.pyo
+${PYSITELIB}/pymc3/backends/__init__.py
+${PYSITELIB}/pymc3/backends/__init__.pyc
+${PYSITELIB}/pymc3/backends/__init__.pyo
+${PYSITELIB}/pymc3/backends/base.py
+${PYSITELIB}/pymc3/backends/base.pyc
+${PYSITELIB}/pymc3/backends/base.pyo
+${PYSITELIB}/pymc3/backends/hdf5.py
+${PYSITELIB}/pymc3/backends/hdf5.pyc
+${PYSITELIB}/pymc3/backends/hdf5.pyo
+${PYSITELIB}/pymc3/backends/ndarray.py
+${PYSITELIB}/pymc3/backends/ndarray.pyc
+${PYSITELIB}/pymc3/backends/ndarray.pyo
+${PYSITELIB}/pymc3/backends/report.py
+${PYSITELIB}/pymc3/backends/report.pyc
+${PYSITELIB}/pymc3/backends/report.pyo
+${PYSITELIB}/pymc3/backends/smc_text.py
+${PYSITELIB}/pymc3/backends/smc_text.pyc
+${PYSITELIB}/pymc3/backends/smc_text.pyo
+${PYSITELIB}/pymc3/backends/sqlite.py
+${PYSITELIB}/pymc3/backends/sqlite.pyc
+${PYSITELIB}/pymc3/backends/sqlite.pyo
+${PYSITELIB}/pymc3/backends/text.py
+${PYSITELIB}/pymc3/backends/text.pyc
+${PYSITELIB}/pymc3/backends/text.pyo
+${PYSITELIB}/pymc3/backends/tracetab.py
+${PYSITELIB}/pymc3/backends/tracetab.pyc
+${PYSITELIB}/pymc3/backends/tracetab.pyo
+${PYSITELIB}/pymc3/blocking.py
+${PYSITELIB}/pymc3/blocking.pyc
+${PYSITELIB}/pymc3/blocking.pyo
+${PYSITELIB}/pymc3/data.py
+${PYSITELIB}/pymc3/data.pyc
+${PYSITELIB}/pymc3/data.pyo
+${PYSITELIB}/pymc3/diagnostics.py
+${PYSITELIB}/pymc3/diagnostics.pyc
+${PYSITELIB}/pymc3/diagnostics.pyo
+${PYSITELIB}/pymc3/distributions/__init__.py
+${PYSITELIB}/pymc3/distributions/__init__.pyc
+${PYSITELIB}/pymc3/distributions/__init__.pyo
+${PYSITELIB}/pymc3/distributions/bound.py
+${PYSITELIB}/pymc3/distributions/bound.pyc
+${PYSITELIB}/pymc3/distributions/bound.pyo
+${PYSITELIB}/pymc3/distributions/continuous.py
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+${PYSITELIB}/pymc3/distributions/discrete.pyc
+${PYSITELIB}/pymc3/distributions/discrete.pyo
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+${PYSITELIB}/pymc3/examples/arbitrary_stochastic.pyo
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+${PYSITELIB}/pymc3/examples/arma_example.pyc
+${PYSITELIB}/pymc3/examples/arma_example.pyo
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+${PYSITELIB}/pymc3/examples/custom_dists.pyc
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+${PYSITELIB}/pymc3/examples/data/Guber1999data.txt
+${PYSITELIB}/pymc3/examples/data/HtWt.csv
+${PYSITELIB}/pymc3/examples/data/SP500.csv
+${PYSITELIB}/pymc3/examples/data/cty.dat
+${PYSITELIB}/pymc3/examples/data/efron-morris-75-data.tsv
+${PYSITELIB}/pymc3/examples/data/extrahard_MC_500_5_4.npz.npy
+${PYSITELIB}/pymc3/examples/data/extrahard_MC_500_5_4_reference_classes.npy
+${PYSITELIB}/pymc3/examples/data/mastectomy.csv
+${PYSITELIB}/pymc3/examples/data/milk.csv
+${PYSITELIB}/pymc3/examples/data/monthly_in_situ_co2_mlo.csv
+${PYSITELIB}/pymc3/examples/data/old_faithful.csv
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+${PYSITELIB}/pymc3/examples/data/pmf/jester-dataset-v1-dense-first-1000.csv
+${PYSITELIB}/pymc3/examples/data/pmf/jokes.json
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+${PYSITELIB}/pymc3/examples/data/rugby.csv
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+${PYSITELIB}/pymc3/gp/util.pyc
+${PYSITELIB}/pymc3/gp/util.pyo
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+${PYSITELIB}/pymc3/math.pyc
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+${PYSITELIB}/pymc3/memoize.py
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+${PYSITELIB}/pymc3/plots/__init__.pyc
+${PYSITELIB}/pymc3/plots/__init__.pyo
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+${PYSITELIB}/pymc3/step_methods/gibbs.py
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