gnu: Add python-visdom.
* gnu/packages/machine-learning.scm (python-visdom): New variable.
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@ -3248,6 +3248,35 @@ of Hidden Markov Models.")
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algorithm for dense (LAPJV) or sparse (LAPMOD) matrices.")
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algorithm for dense (LAPJV) or sparse (LAPMOD) matrices.")
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(license license:bsd-2)))
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(license license:bsd-2)))
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(define-public python-visdom
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(package
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(name "python-visdom")
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(version "0.1.8.9")
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(source (origin
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(method url-fetch)
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(uri (pypi-uri "visdom" version))
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(sha256
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(base32
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"09kiczx2i5asqsv214fz7sx8wlyldgbqvxwrd0alhjn24cvx4fn7"))))
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(build-system python-build-system)
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(propagated-inputs
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(list python-jsonpatch
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python-numpy
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python-pillow
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python-pyzmq
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python-requests
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python-scipy
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python-six
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python-torchfile
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python-tornado
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python-websocket-client))
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(home-page "https://github.com/fossasia/visdom")
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(synopsis "Visualizations of live, rich data for Torch and Numpy")
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(description
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"This package provides a tool for visualizing live, rich data for Torch
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and Numpy.")
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(license license:asl2.0)))
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(define-public python-pyro-api
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(define-public python-pyro-api
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(package
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(package
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(name "python-pyro-api")
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(name "python-pyro-api")
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