svn commit: r472423 - in head/textproc: . py-gensim
Yuri Victorovich
yuri at FreeBSD.org
Fri Jun 15 04:11:29 UTC 2018
Author: yuri
Date: Fri Jun 15 04:11:27 2018
New Revision: 472423
URL: https://svnweb.freebsd.org/changeset/ports/472423
Log:
New port: textproc/py-gensim: Python framework for fast Vector Space Modelling
Added:
head/textproc/py-gensim/
head/textproc/py-gensim/Makefile (contents, props changed)
head/textproc/py-gensim/distinfo (contents, props changed)
head/textproc/py-gensim/pkg-descr (contents, props changed)
head/textproc/py-gensim/pkg-message (contents, props changed)
Modified:
head/textproc/Makefile
Modified: head/textproc/Makefile
==============================================================================
--- head/textproc/Makefile Fri Jun 15 03:44:17 2018 (r472422)
+++ head/textproc/Makefile Fri Jun 15 04:11:27 2018 (r472423)
@@ -1307,6 +1307,7 @@
SUBDIR += py-feedparser
SUBDIR += py-gambit-elasticsearch
SUBDIR += py-genshi
+ SUBDIR += py-gensim
SUBDIR += py-gfm
SUBDIR += py-guess-language
SUBDIR += py-hexdump
Added: head/textproc/py-gensim/Makefile
==============================================================================
--- /dev/null 00:00:00 1970 (empty, because file is newly added)
+++ head/textproc/py-gensim/Makefile Fri Jun 15 04:11:27 2018 (r472423)
@@ -0,0 +1,24 @@
+# $FreeBSD$
+
+PORTNAME= gensim
+DISTVERSION= 3.4.0
+CATEGORIES= textproc python
+MASTER_SITES= CHEESESHOP
+PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX}
+
+MAINTAINER= yuri at FreeBSD.org
+COMMENT= Python framework for fast Vector Space Modelling
+
+LICENSE= LGPL21
+LICENSE_FILE= ${WRKSRC}/COPYING
+
+BUILD_DEPENDS= ${PYNUMPY}
+RUN_DEPENDS= ${PYNUMPY} \
+ ${PYTHON_PKGNAMEPREFIX}scipy>=0.18.1:science/py-scipy@${FLAVOR} \
+ ${PYTHON_PKGNAMEPREFIX}six>=1.5.0:devel/py-six@${FLAVOR} \
+ ${PYTHON_PKGNAMEPREFIX}smart_open>=1.2.1:net/py-smart_open@${FLAVOR}
+
+USES= python
+USE_PYTHON= distutils autoplist
+
+.include <bsd.port.mk>
Added: head/textproc/py-gensim/distinfo
==============================================================================
--- /dev/null 00:00:00 1970 (empty, because file is newly added)
+++ head/textproc/py-gensim/distinfo Fri Jun 15 04:11:27 2018 (r472423)
@@ -0,0 +1,3 @@
+TIMESTAMP = 1529032423
+SHA256 (gensim-3.4.0.tar.gz) = 05844c82c7c176449218fd3fc31e55e5d8b3fae460f261b11231f4c8ef2ed5e0
+SIZE (gensim-3.4.0.tar.gz) = 22175027
Added: head/textproc/py-gensim/pkg-descr
==============================================================================
--- /dev/null 00:00:00 1970 (empty, because file is newly added)
+++ head/textproc/py-gensim/pkg-descr Fri Jun 15 04:11:27 2018 (r472423)
@@ -0,0 +1,21 @@
+Gensim is a Python library for topic modelling, document indexing and similarity
+retrieval with large corpora. Target audience is the natural language processing
+(NLP) and information retrieval (IR) community.
+
+Features:
+* All algorithms are memory-independent w.r.t. the corpus size (can process
+ input larger than RAM, streamed, out-of-core),
+* Intuitive interfaces
+ * easy to plug in your own input corpus/datastream (trivial streaming API)
+ * easy to extend with other Vector Space algorithms (trivial transformation
+ API)
+* Efficient multicore implementations of popular algorithms, such as online
+ Latent Semantic Analysis (LSA/LSI/SVD), Latent Dirichlet Allocation (LDA),
+ Random Projections (RP), Hierarchical Dirichlet Process (HDP) or word2vec deep
+ learning.
+* Distributed computing: can run Latent Semantic Analysis and Latent Dirichlet
+ Allocation on a cluster of computers.
+* Extensive documentation and Jupyter Notebook tutorials.
+
+
+WWW: https://radimrehurek.com/gensim/
Added: head/textproc/py-gensim/pkg-message
==============================================================================
--- /dev/null 00:00:00 1970 (empty, because file is newly added)
+++ head/textproc/py-gensim/pkg-message Fri Jun 15 04:11:27 2018 (r472423)
@@ -0,0 +1,3 @@
+If you are using the Python v3.x version and a non-Unicode locale you'll get a runtime error when mkdocs is executed..
+
+In that case please set the locale to a Unicode locale first, e.g. en_US.UTF-8 or similar, before starting mkdocs.
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