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Install this package:

emerge -a sci-libs/tensorflow-probability

If the package is masked, you can unmask it using the autounmask tool or standard emerge options:

autounmask sci-libs/tensorflow-probability

Or alternatively:

emerge --autounmask-write -a sci-libs/tensorflow-probability

Package Information

Description:

TensorFlow Probability is a library for probabilistic reasoning and statistical analysis in TensorFlow. As part of the TensorFlow ecosystem, TensorFlow Probability provides integration of probabilistic methods with deep networks, gradient-based inference via automatic differentiation, and scalability to large datasets and models via hardware acceleration (e.g., GPUs) and distributed computation.

Homepage:

https://github.com/tensorflow/probability

License:

MIT

Versions

Metadata

Description

• TensorFlow Probability is a library for probabilistic reasoning and statistical analysis in TensorFlow. As part of the TensorFlow ecosystem, TensorFlow Probability provides integration of probabilistic methods with deep networks, gradient-based inference via automatic differentiation, and scalability to large datasets and models via hardware acceleration (e.g., GPUs) and distributed computation.

Maintainers

• Gentoo Science Project (sci@gentoo.org) - Type: project
• Alexander Puck Neuwirth (alexander@neuwirth-informatik.de) - Type: person

Upstream

• Remote IDs:
  • pypi: tensorflow-probability
  • github: tensorflow/probability

<pkgmetadata>
	<maintainer type="project">
		<email>sci@gentoo.org</email>
		<name>Gentoo Science Project</name>
	</maintainer>
	<maintainer type="person">
		<email>alexander@neuwirth-informatik.de</email>
		<name>Alexander Puck Neuwirth</name>
	</maintainer>
	<longdescription lang="en">
	TensorFlow Probability is a library for probabilistic reasoning and statistical analysis in TensorFlow. As part of the TensorFlow ecosystem, TensorFlow Probability provides integration of probabilistic methods with deep networks, gradient-based inference via automatic differentiation, and scalability to large datasets and models via hardware acceleration (e.g., GPUs) and distributed computation.
     </longdescription>
	<upstream>
		<remote-id type="pypi">tensorflow-probability</remote-id>
		<remote-id type="github">tensorflow/probability</remote-id>
	</upstream>
</pkgmetadata>

Lint Warnings

• [Error] Missing md5-cache for ebuild tensorflow-probability-0.19.0

Manifest