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.

4 files changed, 545 insertions, 0 deletions

diff --git a/math/py-pymc3/DESCR b/math/py-pymc3/DESCR
new file mode 100644
index 00000000000..f876a597319
--- /dev/null
+++ b/math/py-pymc3/DESCR
@@ -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 --git a/math/py-pymc3/Makefile b/math/py-pymc3/Makefile
new file mode 100644
index 00000000000..8cd51d9d325
--- /dev/null
+++ b/math/py-pymc3/Makefile
@@ -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
+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 --git a/math/py-pymc3/PLIST b/math/py-pymc3/PLIST
new file mode 100644
index 00000000000..f5a8a883ddd
--- /dev/null
+++ b/math/py-pymc3/PLIST
@@ -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
+${PYSITELIB}/pymc3/distributions/continuous.pyc
+${PYSITELIB}/pymc3/distributions/continuous.pyo
+${PYSITELIB}/pymc3/distributions/discrete.py
+${PYSITELIB}/pymc3/distributions/discrete.pyc
+${PYSITELIB}/pymc3/distributions/discrete.pyo
+${PYSITELIB}/pymc3/distributions/dist_math.py
+${PYSITELIB}/pymc3/distributions/dist_math.pyc
+${PYSITELIB}/pymc3/distributions/dist_math.pyo
+${PYSITELIB}/pymc3/distributions/distribution.py
+${PYSITELIB}/pymc3/distributions/distribution.pyc
+${PYSITELIB}/pymc3/distributions/distribution.pyo
+${PYSITELIB}/pymc3/distributions/mixture.py
+${PYSITELIB}/pymc3/distributions/mixture.pyc
+${PYSITELIB}/pymc3/distributions/mixture.pyo
+${PYSITELIB}/pymc3/distributions/multivariate.py
+${PYSITELIB}/pymc3/distributions/multivariate.pyc
+${PYSITELIB}/pymc3/distributions/multivariate.pyo
+${PYSITELIB}/pymc3/distributions/special.py
+${PYSITELIB}/pymc3/distributions/special.pyc
+${PYSITELIB}/pymc3/distributions/special.pyo
+${PYSITELIB}/pymc3/distributions/timeseries.py
+${PYSITELIB}/pymc3/distributions/timeseries.pyc
+${PYSITELIB}/pymc3/distributions/timeseries.pyo
+${PYSITELIB}/pymc3/distributions/transforms.py
+${PYSITELIB}/pymc3/distributions/transforms.pyc
+${PYSITELIB}/pymc3/distributions/transforms.pyo
+${PYSITELIB}/pymc3/examples/GHME_2013.py
+${PYSITELIB}/pymc3/examples/GHME_2013.pyc
+${PYSITELIB}/pymc3/examples/GHME_2013.pyo
+${PYSITELIB}/pymc3/examples/LKJ_correlation.py
+${PYSITELIB}/pymc3/examples/LKJ_correlation.pyc
+${PYSITELIB}/pymc3/examples/LKJ_correlation.pyo
+${PYSITELIB}/pymc3/examples/__init__.py
+${PYSITELIB}/pymc3/examples/__init__.pyc
+${PYSITELIB}/pymc3/examples/__init__.pyo
+${PYSITELIB}/pymc3/examples/arbitrary_stochastic.py
+${PYSITELIB}/pymc3/examples/arbitrary_stochastic.pyc
+${PYSITELIB}/pymc3/examples/arbitrary_stochastic.pyo
+${PYSITELIB}/pymc3/examples/arma_example.py
+${PYSITELIB}/pymc3/examples/arma_example.pyc
+${PYSITELIB}/pymc3/examples/arma_example.pyo
+${PYSITELIB}/pymc3/examples/baseball.py
+${PYSITELIB}/pymc3/examples/baseball.pyc
+${PYSITELIB}/pymc3/examples/baseball.pyo
+${PYSITELIB}/pymc3/examples/censored_data.py
+${PYSITELIB}/pymc3/examples/censored_data.pyc
+${PYSITELIB}/pymc3/examples/censored_data.pyo
+${PYSITELIB}/pymc3/examples/custom_dists.py
+${PYSITELIB}/pymc3/examples/custom_dists.pyc
+${PYSITELIB}/pymc3/examples/custom_dists.pyo
+${PYSITELIB}/pymc3/examples/data/Guber1999data.txt
+${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
+${PYSITELIB}/pymc3/examples/data/old_faithful.csv
+${PYSITELIB}/pymc3/examples/data/pancreatitis.csv
+${PYSITELIB}/pymc3/examples/data/pmf/6bb8d06c69c0666e6da14c094d4320d115f1ffc8/shapes.json
+${PYSITELIB}/pymc3/examples/data/pmf/6bb8d06c69c0666e6da14c094d4320d115f1ffc8/test.txt
+${PYSITELIB}/pymc3/examples/data/pmf/6bb8d06c69c0666e6da14c094d4320d115f1ffc8/train.txt
+${PYSITELIB}/pymc3/examples/data/pmf/jester-dataset-v1-dense-first-1000.csv
+${PYSITELIB}/pymc3/examples/data/pmf/jokes.json
+${PYSITELIB}/pymc3/examples/data/radon.csv
+${PYSITELIB}/pymc3/examples/data/rugby.csv
+${PYSITELIB}/pymc3/examples/data/srrs2.dat
+${PYSITELIB}/pymc3/examples/data/stock_prices.csv
+${PYSITELIB}/pymc3/examples/data/sunspot.csv
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diff --git a/math/py-pymc3/distinfo b/math/py-pymc3/distinfo
new file mode 100644
index 00000000000..ea0b9cf6b4a
--- /dev/null
+++ b/math/py-pymc3/distinfo
@@ -0,0 +1,6 @@
+$NetBSD: distinfo,v 1.1 2018/07/06 03:46:43 minskim Exp $
+
+SHA1 (pymc3-3.4.1.tar.gz) = 859916e93bf653a15bf0637e63067714d17834ce
+RMD160 (pymc3-3.4.1.tar.gz) = 9fed35a862543f2dcaa064efae0b57f7e334427f
+SHA512 (pymc3-3.4.1.tar.gz) = 122fdfff3e20489c8fb343d6f42c1ac9c1a45ecb9f416266b514ebb3ed84ca9d070a534e1ceaf9156ffa29ab5ca9bdd949adf5fb81e197acc88383ff0bc5d064
+Size (pymc3-3.4.1.tar.gz) = 47538716 bytes