Machine Learning PY (mlpy) is a high-performance Python package for

predictive modeling. It makes extensive use of numpy (http://scipy.org)
to provide fast N-dimensional array manipulation and easy integration of
C code. mlpy provides high level procedures that support, with few lines
of code, the design of rich Data Analysis Protocols (DAPs) for
preprocessing, clustering, predictive classification and feature
selection. Methods are available for feature weighting and ranking, data
resampling, error evaluation and experiment landscaping.The package
includes tools to measure stability in sets of ranked feature lists.

WWW:	http://mlpy.fbk.eu/

PR:		ports/133932
Submitted by:	Wen Heping <wenheping at gmail.com>

5 files changed, 125 insertions, 0 deletions

diff --git a/science/Makefile b/science/Makefile
index 029dc3d7ec8d..ebcbfad69d07 100644
--- a/science/Makefile
+++ b/science/Makefile
@@ -106,6 +106,7 @@
     SUBDIR += psychopy
     SUBDIR += py-hcluster
     SUBDIR += py-mdp
+    SUBDIR += py-mlpy
     SUBDIR += py-netCDF4
     SUBDIR += py-openbabel
     SUBDIR += py-paida
diff --git a/science/py-mlpy/Makefile b/science/py-mlpy/Makefile
new file mode 100644
index 000000000000..0769e7e13f53
--- /dev/null
+++ b/science/py-mlpy/Makefile
@@ -0,0 +1,29 @@
+# New ports collection makefile for:	py-mlpy
+# Date created:		18 April, 2009
+# Whom:			Wen Heping <wenheping@gmail.com>
+#
+# $FreeBSD$
+#
+
+PORTNAME=	mlpy
+PORTVERSION=	2.0.0
+CATEGORIES=	science python
+MASTER_SITES=	https://mlpy.fbk.eu/download/src/
+PKGNAMEPREFIX=	${PYTHON_PKGNAMEPREFIX}
+DISTNAME=	MLPY-${PORTVERSION}
+
+MAINTAINER=	wenheping@gmail.com
+COMMENT=	High performance Python package for predictive modeling
+
+BUILD_DEPENDS=	${PYTHON_SITELIBDIR}/numpy:${PORTSDIR}/math/py-numpy
+RUN_DEPENDS=	${BUILD_DEPENDS}
+LIB_DEPENDS=	gsl.13:${PORTSDIR}/math/gsl
+
+CFLAGS+=	-I${LOCALBASE}/include
+LDFLAGS+=	-L${LOCALBASE}/lib
+MAKE_ENV+=	CFLAGS="${CFLAGS}" LDFLAGS="${LDFLAGS}"
+USE_PYTHON=	yes
+USE_PYDISTUTILS=	yes
+PYDISTUTILS_PKGNAME=	MLPY
+
+.include <bsd.port.mk>
diff --git a/science/py-mlpy/distinfo b/science/py-mlpy/distinfo
new file mode 100644
index 000000000000..4b887b59ed2e
--- /dev/null
+++ b/science/py-mlpy/distinfo
@@ -0,0 +1,3 @@
+MD5 (MLPY-2.0.0.tar.gz) = 2f2b33f97849cba7d469926a7724e770
+SHA256 (MLPY-2.0.0.tar.gz) = f58fd590df0c22310cda4e1770a3ea4a195c552c8e33db01c168d2d10bcebf74
+SIZE (MLPY-2.0.0.tar.gz) = 118326
diff --git a/science/py-mlpy/pkg-descr b/science/py-mlpy/pkg-descr
new file mode 100644
index 000000000000..a3ac58b890cc
--- /dev/null
+++ b/science/py-mlpy/pkg-descr
@@ -0,0 +1,11 @@
+Machine Learning PY (mlpy) is a high-performance Python package for
+predictive modeling. It makes extensive use of numpy (http://scipy.org)
+to provide fast N-dimensional array manipulation and easy integration of
+C code. mlpy provides high level procedures that support, with few lines
+of code, the design of rich Data Analysis Protocols (DAPs) for
+preprocessing, clustering, predictive classification and feature
+selection. Methods are available for feature weighting and ranking, data
+resampling, error evaluation and experiment landscaping.The package
+includes tools to measure stability in sets of ranked feature lists.
+
+WWW:	http://mlpy.fbk.eu/
diff --git a/science/py-mlpy/pkg-plist b/science/py-mlpy/pkg-plist
new file mode 100644
index 000000000000..67d09b920783
--- /dev/null
+++ b/science/py-mlpy/pkg-plist
@@ -0,0 +1,81 @@
+bin/irelief-sigma
+bin/srda-landscape
+bin/svm-landscape
+bin/fda-landscape
+bin/knn-landscape
+bin/pda-landscape
+bin/dlda-landscape
+bin/borda
+bin/canberra
+bin/canberraq
+%%PYTHON_SITELIBDIR%%/mlpy/__init__.py
+%%PYTHON_SITELIBDIR%%/mlpy/__init__.pyc
+%%PYTHON_SITELIBDIR%%/mlpy/__init__.pyo
+%%PYTHON_SITELIBDIR%%/mlpy/_bmetrics.py
+%%PYTHON_SITELIBDIR%%/mlpy/_bmetrics.pyc
+%%PYTHON_SITELIBDIR%%/mlpy/_bmetrics.pyo
+%%PYTHON_SITELIBDIR%%/mlpy/_borda.py
+%%PYTHON_SITELIBDIR%%/mlpy/_borda.pyc
+%%PYTHON_SITELIBDIR%%/mlpy/_borda.pyo
+%%PYTHON_SITELIBDIR%%/mlpy/_canberra.py
+%%PYTHON_SITELIBDIR%%/mlpy/_canberra.pyc
+%%PYTHON_SITELIBDIR%%/mlpy/_canberra.pyo
+%%PYTHON_SITELIBDIR%%/mlpy/_ci.py
+%%PYTHON_SITELIBDIR%%/mlpy/_ci.pyc
+%%PYTHON_SITELIBDIR%%/mlpy/_ci.pyo
+%%PYTHON_SITELIBDIR%%/mlpy/_cwt.py
+%%PYTHON_SITELIBDIR%%/mlpy/_cwt.pyc
+%%PYTHON_SITELIBDIR%%/mlpy/_cwt.pyo
+%%PYTHON_SITELIBDIR%%/mlpy/_data.py
+%%PYTHON_SITELIBDIR%%/mlpy/_data.pyc
+%%PYTHON_SITELIBDIR%%/mlpy/_data.pyo
+%%PYTHON_SITELIBDIR%%/mlpy/_dlda.py
+%%PYTHON_SITELIBDIR%%/mlpy/_dlda.pyc
+%%PYTHON_SITELIBDIR%%/mlpy/_dlda.pyo
+%%PYTHON_SITELIBDIR%%/mlpy/_dwt.so
+%%PYTHON_SITELIBDIR%%/mlpy/_dwtfs.py
+%%PYTHON_SITELIBDIR%%/mlpy/_dwtfs.pyc
+%%PYTHON_SITELIBDIR%%/mlpy/_dwtfs.pyo
+%%PYTHON_SITELIBDIR%%/mlpy/_fda.py
+%%PYTHON_SITELIBDIR%%/mlpy/_fda.pyc
+%%PYTHON_SITELIBDIR%%/mlpy/_fda.pyo
+%%PYTHON_SITELIBDIR%%/mlpy/_hcluster.py
+%%PYTHON_SITELIBDIR%%/mlpy/_hcluster.pyc
+%%PYTHON_SITELIBDIR%%/mlpy/_hcluster.pyo
+%%PYTHON_SITELIBDIR%%/mlpy/_irelief.py
+%%PYTHON_SITELIBDIR%%/mlpy/_irelief.pyc
+%%PYTHON_SITELIBDIR%%/mlpy/_irelief.pyo
+%%PYTHON_SITELIBDIR%%/mlpy/_knn.py
+%%PYTHON_SITELIBDIR%%/mlpy/_knn.pyc
+%%PYTHON_SITELIBDIR%%/mlpy/_knn.pyo
+%%PYTHON_SITELIBDIR%%/mlpy/_pda.py
+%%PYTHON_SITELIBDIR%%/mlpy/_pda.pyc
+%%PYTHON_SITELIBDIR%%/mlpy/_pda.pyo
+%%PYTHON_SITELIBDIR%%/mlpy/_ranking.py
+%%PYTHON_SITELIBDIR%%/mlpy/_ranking.pyc
+%%PYTHON_SITELIBDIR%%/mlpy/_ranking.pyo
+%%PYTHON_SITELIBDIR%%/mlpy/_resampling.py
+%%PYTHON_SITELIBDIR%%/mlpy/_resampling.pyc
+%%PYTHON_SITELIBDIR%%/mlpy/_resampling.pyo
+%%PYTHON_SITELIBDIR%%/mlpy/_srda.py
+%%PYTHON_SITELIBDIR%%/mlpy/_srda.pyc
+%%PYTHON_SITELIBDIR%%/mlpy/_srda.pyo
+%%PYTHON_SITELIBDIR%%/mlpy/_svm.py
+%%PYTHON_SITELIBDIR%%/mlpy/_svm.pyc
+%%PYTHON_SITELIBDIR%%/mlpy/_svm.pyo
+%%PYTHON_SITELIBDIR%%/mlpy/_wavelet.py
+%%PYTHON_SITELIBDIR%%/mlpy/_wavelet.pyc
+%%PYTHON_SITELIBDIR%%/mlpy/_wavelet.pyo
+%%PYTHON_SITELIBDIR%%/mlpy/canberracore.so
+%%PYTHON_SITELIBDIR%%/mlpy/cwb.so
+%%PYTHON_SITELIBDIR%%/mlpy/gslpy.so
+%%PYTHON_SITELIBDIR%%/mlpy/hccore.so
+%%PYTHON_SITELIBDIR%%/mlpy/nncore.so
+%%PYTHON_SITELIBDIR%%/mlpy/progressbar.py
+%%PYTHON_SITELIBDIR%%/mlpy/progressbar.pyc
+%%PYTHON_SITELIBDIR%%/mlpy/progressbar.pyo
+%%PYTHON_SITELIBDIR%%/mlpy/svmcore.so
+%%PYTHON_SITELIBDIR%%/mlpy/version.py
+%%PYTHON_SITELIBDIR%%/mlpy/version.pyc
+%%PYTHON_SITELIBDIR%%/mlpy/version.pyo
+@dirrm %%PYTHON_SITELIBDIR%%/mlpy