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DiffSharp.Distributions Namespace

Contains types and functionality related to probabilitity distributions.

Type	Description
Bernoulli	[copy-md.png] [copy-md-hover.png] [copy-xml.png] [copy-xml-hover.png] [github.png] [github-hover.png] Represents a Bernoulli distribution.
Categorical	[copy-md.png] [copy-md-hover.png] [copy-xml.png] [copy-xml-hover.png] [github.png] [github-hover.png] Represents a Categorial distribution.
"> Distribution	[copy-md.png] [copy-md-hover.png] [copy-xml.png] [copy-xml-hover.png] [github.png] [github-hover.png] Represents an Empirical distribution.
Normal	[copy-md.png] [copy-md-hover.png] [copy-xml.png] [copy-xml-hover.png] [github.png] [github-hover.png] Represents a normal distribution with the given mean and standard deviation with the mean and standard deviation drawn fom the given tensors.
TensorDistribution	[copy-md.png] [copy-md-hover.png] [copy-xml.png] [copy-xml-hover.png] [github.png] [github-hover.png]
Uniform	[copy-md.png] [copy-md-hover.png] [copy-xml.png] [copy-xml-hover.png] [github.png] [github-hover.png] Represents a uniform distribution with low and high values drawn from the given tensors.