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science/py-pyaixi: Implementation of the MC-AIXI-CTW AI algorithm
pyaixi is a pure Python implementation of the Monte Carlo-AIXI-Context Tree Weighting (MC-AIXI-CTW) artificial intelligence algorithm. This is an approximation of the AIXI universal artificial intelligence algorithm, which describes a model-based, reinforcement-learning agent capable of general learning. WWW: https://github.com/gkassel/pyaixi PR: ports/184572 Submitted by: Johannes Jost Meixner <xmj chaot.net>
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svn2git
2021-03-31 03:12:20 +00:00
svn path=/head/; revision=335895
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SUBDIR += py-obspy
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SUBDIR += py-paida
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SUBDIR += py-pupynere
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SUBDIR += py-pyaixi
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SUBDIR += py-pydap
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SUBDIR += py-pydicom
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SUBDIR += py-scikit-learn
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science/py-pyaixi/Makefile
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science/py-pyaixi/Makefile
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# Created by: Johannes Meixner <xmj@chaot.net>
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# $FreeBSD$
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PORTNAME= pyaixi
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PORTVERSION= 1.0.3
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CATEGORIES= science python
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MASTER_SITES= CHEESESHOP
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PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX}
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MAINTAINER= xmj@chaot.net
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COMMENT= Implementation of the MC-AIXI-CTW AI algorithm
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LICENSE= CCbySA
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LICENSE_NAME= Creative Commons Attribution-ShareAlike 3.0 \
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Unported License
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LICENSE_FILE= ${WRKSRC}/LICENSE.txt
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LICENSE_PERMS= auto-accept dist-mirror pkg-mirror pkg-sell dist-sell
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USES= dos2unix
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USE_PYTHON= 2.7
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USE_PYDISTUTILS= yes
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PYDISTUTILS_AUTOPLIST= yes
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PORTDOCS= changelog.txt \
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todo.txt
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PORTEXAMPLES= *
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OPTIONS_DEFINE= DOCS EXAMPLES
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EXAMPLESDIR= ${PREFIX}/share/examples/py-${PORTNAME}
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DOCSDIR= ${PREFIX}/share/doc/py-${PORTNAME}
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post-install:
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${MKDIR} ${STAGEDIR}${DOCSDIR}
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${INSTALL_DATA} ${PORTDOCS:S|^|${WRKSRC}/doc/|} \
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${STAGEDIR}${DOCSDIR}
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${MKDIR} ${STAGEDIR}${EXAMPLESDIR}
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${INSTALL_DATA} ${PORTEXAMPLES:S|^|${WRKSRC}/conf/|} \
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${STAGEDIR}${EXAMPLESDIR}
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.include <bsd.port.mk>
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science/py-pyaixi/distinfo
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science/py-pyaixi/distinfo
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SHA256 (pyaixi-1.0.3.tar.gz) = 5d58cd3162740dbf082c16c4a8f377169e6dc4643a1848a4f3a793310ad261db
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SIZE (pyaixi-1.0.3.tar.gz) = 48553
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science/py-pyaixi/pkg-descr
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science/py-pyaixi/pkg-descr
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pyaixi is a pure Python implementation of the Monte Carlo-AIXI-Context Tree Weighting
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(MC-AIXI-CTW) artificial intelligence algorithm.
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This is an approximation of the AIXI universal artificial intelligence
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algorithm, which describes a model-based, reinforcement-learning agent capable
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of general learning.
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WWW: https://github.com/gkassel/pyaixi
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