mirror of https://git.freebsd.org/ports.git
textproc/py-sense2vec: Add py-sense2vec 2.0.2
sense2vec (Trask et. al, 2015) is a nice twist on word2vec that lets you learn more interesting and detailed word vectors. This library is a simple Python implementation for loading, querying and training sense2vec models.2024Q2
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SUBDIR += py-rst2ansi
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SUBDIR += py-rst2html5
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SUBDIR += py-scour
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SUBDIR += py-sense2vec
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SUBDIR += py-sentencepiece
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SUBDIR += py-simplebayes
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SUBDIR += py-smartypants
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@ -0,0 +1,27 @@
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PORTNAME= sense2vec
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PORTVERSION= 2.0.2
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CATEGORIES= textproc python
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MASTER_SITES= PYPI
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PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX}
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MAINTAINER= sunpoet@FreeBSD.org
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COMMENT= Contextually-keyed word vectors
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WWW= https://github.com/explosion/sense2vec
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LICENSE= MIT
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LICENSE_FILE= ${WRKSRC}/LICENSE
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BUILD_DEPENDS= ${PYTHON_PKGNAMEPREFIX}setuptools>=0:devel/py-setuptools@${PY_FLAVOR} \
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${PYTHON_PKGNAMEPREFIX}wheel>=0:devel/py-wheel@${PY_FLAVOR}
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RUN_DEPENDS= ${PYTHON_PKGNAMEPREFIX}catalogue>=2.0.1<2.1.0:devel/py-catalogue@${PY_FLAVOR} \
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${PYTHON_PKGNAMEPREFIX}numpy>=1.15.0,1:math/py-numpy@${PY_FLAVOR} \
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${PYTHON_PKGNAMEPREFIX}spacy>=3.0.0<4.0.0:textproc/py-spacy@${PY_FLAVOR} \
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${PYTHON_PKGNAMEPREFIX}srsly>=2.4.0<3.0.0:devel/py-srsly@${PY_FLAVOR} \
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${PYTHON_PKGNAMEPREFIX}wasabi>=0.8.1<1.2.0:textproc/py-wasabi@${PY_FLAVOR}
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USES= python
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USE_PYTHON= autoplist concurrent pep517
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NO_ARCH= yes
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.include <bsd.port.mk>
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@ -0,0 +1,3 @@
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TIMESTAMP = 1708448850
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SHA256 (sense2vec-2.0.2.tar.gz) = c7df6f89f74d83ed13c85998fe5792e836f7971e099af955211a6adefabaa768
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SIZE (sense2vec-2.0.2.tar.gz) = 61403
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@ -0,0 +1,3 @@
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sense2vec (Trask et. al, 2015) is a nice twist on word2vec that lets you learn
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more interesting and detailed word vectors. This library is a simple Python
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implementation for loading, querying and training sense2vec models.
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