Divisi2 is a library for reasoning by analogy and association over semantic networks, including common sense knowledge. Divisi uses a sparse higher-order SVD and can help find related concepts, features, and relation types in any knowledge base that can be represented as a semantic network. By including common sense knowledge from ConceptNet, the results can include relationships not expressed in the original data but related by common sense. See http://divisi.media.mit.edu/ for more info
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2.2 KiB
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57 lines
2.2 KiB
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@comment $NetBSD: PLIST,v 1.1.1.1 2010/05/03 14:57:53 jihbed Exp $
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${PYSITELIB}/${EGG_NAME}-nspkg.pth
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${PYSITELIB}/${EGG_INFODIR}/PKG-INFO
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${PYSITELIB}/${EGG_INFODIR}/SOURCES.txt
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${PYSITELIB}/${EGG_INFODIR}/dependency_links.txt
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${PYSITELIB}/${EGG_INFODIR}/namespace_packages.txt
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${PYSITELIB}/${EGG_INFODIR}/requires.txt
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${PYSITELIB}/${EGG_INFODIR}/top_level.txt
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${PYSITELIB}/csc/divisi2/__init__.py
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${PYSITELIB}/csc/divisi2/__init__.pyc
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${PYSITELIB}/csc/divisi2/__init__.pyo
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${PYSITELIB}/csc/divisi2/_svdlib.so
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${PYSITELIB}/csc/divisi2/blend.py
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${PYSITELIB}/csc/divisi2/blend.pyc
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${PYSITELIB}/csc/divisi2/blend.pyo
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${PYSITELIB}/csc/divisi2/data/eval/usertest_data.pickle
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${PYSITELIB}/csc/divisi2/data/graphs/conceptnet_en.graph
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${PYSITELIB}/csc/divisi2/data/graphs/conceptnet_ja.graph
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${PYSITELIB}/csc/divisi2/dense.py
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${PYSITELIB}/csc/divisi2/dense.pyc
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${PYSITELIB}/csc/divisi2/dense.pyo
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${PYSITELIB}/csc/divisi2/exceptions.py
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${PYSITELIB}/csc/divisi2/exceptions.pyc
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${PYSITELIB}/csc/divisi2/exceptions.pyo
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${PYSITELIB}/csc/divisi2/export_svdview.py
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${PYSITELIB}/csc/divisi2/export_svdview.pyc
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${PYSITELIB}/csc/divisi2/export_svdview.pyo
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${PYSITELIB}/csc/divisi2/fileIO.py
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${PYSITELIB}/csc/divisi2/fileIO.pyc
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${PYSITELIB}/csc/divisi2/fileIO.pyo
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${PYSITELIB}/csc/divisi2/labels.py
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${PYSITELIB}/csc/divisi2/labels.pyc
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${PYSITELIB}/csc/divisi2/labels.pyo
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${PYSITELIB}/csc/divisi2/mds.py
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${PYSITELIB}/csc/divisi2/mds.pyc
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${PYSITELIB}/csc/divisi2/mds.pyo
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${PYSITELIB}/csc/divisi2/network.py
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${PYSITELIB}/csc/divisi2/network.pyc
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${PYSITELIB}/csc/divisi2/network.pyo
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${PYSITELIB}/csc/divisi2/operators.py
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${PYSITELIB}/csc/divisi2/operators.pyc
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${PYSITELIB}/csc/divisi2/operators.pyo
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${PYSITELIB}/csc/divisi2/ordered_set.py
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${PYSITELIB}/csc/divisi2/ordered_set.pyc
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${PYSITELIB}/csc/divisi2/ordered_set.pyo
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${PYSITELIB}/csc/divisi2/priodict.py
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${PYSITELIB}/csc/divisi2/priodict.pyc
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${PYSITELIB}/csc/divisi2/reconstructed.py
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${PYSITELIB}/csc/divisi2/reconstructed.pyc
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${PYSITELIB}/csc/divisi2/reconstructed.pyo
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${PYSITELIB}/csc/divisi2/recycling_set.py
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${PYSITELIB}/csc/divisi2/recycling_set.pyo
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${PYSITELIB}/csc/divisi2/sparse.py
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${PYSITELIB}/csc/divisi2/sparse.pyc
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${PYSITELIB}/csc/divisi2/sparse.pyo
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