svn commit: r511029 - in head/devel: . py-fbprophet

[Dan Langille]

Author: dvl
Date: Tue Sep  3 19:30:29 2019
New Revision: 511029
URL: https://svnweb.freebsd.org/changeset/ports/511029

Log:
  Add prophet, a tool for producing high quality forecasts for time series data
  that has multiple seasonality with linear or non-linear growth.
  
  Submitted by:	Gilbert Morgan <gmm at tutanota.com> (via private email)

Added:
  head/devel/py-fbprophet/
  head/devel/py-fbprophet/Makefile   (contents, props changed)
  head/devel/py-fbprophet/distinfo   (contents, props changed)
  head/devel/py-fbprophet/pkg-descr   (contents, props changed)
  head/devel/py-fbprophet/pkg-plist   (contents, props changed)
Modified:
  head/devel/Makefile

Modified: head/devel/Makefile
==============================================================================
--- head/devel/Makefile	Tue Sep  3 19:24:10 2019	(r511028)
+++ head/devel/Makefile	Tue Sep  3 19:30:29 2019	(r511029)
@@ -4406,6 +4406,7 @@
     SUBDIR += py-fastentrypoints
     SUBDIR += py-fastimport
     SUBDIR += py-fastnumbers
+    SUBDIR += py-fbprophet
     SUBDIR += py-filemagic
     SUBDIR += py-fileutils
     SUBDIR += py-first

Added: head/devel/py-fbprophet/Makefile
==============================================================================
--- /dev/null	00:00:00 1970	(empty, because file is newly added)
+++ head/devel/py-fbprophet/Makefile	Tue Sep  3 19:30:29 2019	(r511029)
@@ -0,0 +1,29 @@
+# $FreeBSD$
+
+PORTNAME=	fbprophet
+PORTVERSION=	0.5
+CATEGORIES=	devel
+MASTER_SITES=	https://files.pythonhosted.org/packages/33/fb/ad98d46773929079657706e6b2b6e366ba6c282bc2397d8f9b0ea8e5614c/
+PKGNAMEPREFIX=	${PYTHON_PKGNAMEPREFIX}
+
+MAINTAINER=	gmm at tutanota.com
+COMMENT=	Forecasting time series data based on an additive model
+
+LICENSE=	MIT
+
+USES=		python
+USE_PYTHON=	autoplist distutils
+
+BUILD_DEPENDS+=	${PYTHON_PKGNAMEPREFIX}pystan>2.14:math/py-pystan@${PY_FLAVOR}
+
+RUN_DEPENDS+=	${PYTHON_PKGNAMEPREFIX}pystan>2.14:math/py-pystan@${PY_FLAVOR}
+RUN_DEPENDS+=	${PYTHON_PKGNAMEPREFIX}numpy>1.10.0:math/py-numpy@${PY_FLAVOR}
+RUN_DEPENDS+=	${PYTHON_PKGNAMEPREFIX}matplotlib>2.0.0:math/py-matplotlib@${PY_FLAVOR}
+RUN_DEPENDS+=	${PYTHON_PKGNAMEPREFIX}pandas>0.23.4:math/py-pandas@${PY_FLAVOR}
+RUN_DEPENDS+=	${PYTHON_PKGNAMEPREFIX}holidays>0.9.5:devel/py-holidays@${PY_FLAVOR}
+RUN_DEPENDS+=	${PYTHON_PKGNAMEPREFIX}lunardate>0.1.5:devel/py-lunardate@${PY_FLAVOR}
+RUN_DEPENDS+=	${PYTHON_PKGNAMEPREFIX}convertdate>2.1.2:devel/py-convertdate@${PY_FLAVOR}
+
+NO_ARCH=	yes
+
+.include <bsd.port.mk>

Added: head/devel/py-fbprophet/distinfo
==============================================================================
--- /dev/null	00:00:00 1970	(empty, because file is newly added)
+++ head/devel/py-fbprophet/distinfo	Tue Sep  3 19:30:29 2019	(r511029)
@@ -0,0 +1,3 @@
+TIMESTAMP = 1567169291
+SHA256 (fbprophet-0.5.tar.gz) = c67fde2845db52dbdb4becd312b271575ce1c804be666ed1eee94339c5a35127
+SIZE (fbprophet-0.5.tar.gz) = 49077

Added: head/devel/py-fbprophet/pkg-descr
==============================================================================
--- /dev/null	00:00:00 1970	(empty, because file is newly added)
+++ head/devel/py-fbprophet/pkg-descr	Tue Sep  3 19:30:29 2019	(r511029)
@@ -0,0 +1,8 @@
+Implements a procedure for forecasting time series data based on an additive
+model where non-linear trends are fit with yearly, weekly, and daily
+seasonality, plus holiday effects. It works best with time series that have
+strong seasonal effects and several seasons of historical data. Prophet is
+robust to missing data and shifts in the trend, and typically handles outliers
+well.
+
+WWW: https://github.com/facebook/prophet

Added: head/devel/py-fbprophet/pkg-plist
==============================================================================
--- /dev/null	00:00:00 1970	(empty, because file is newly added)
+++ head/devel/py-fbprophet/pkg-plist	Tue Sep  3 19:30:29 2019	(r511029)
@@ -0,0 +1 @@
+%%PYTHON_SITELIBDIR%%/fbprophet/stan_model/prophet_model.pkl