nessai.utils.distributions
Utilities for getting distributions for use in FlowProposal
Module Contents
Functions
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Return a torch distribution that is uniform in the number of dims |
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Return a Pytorch distribution that is normally distributed in n dims |
- nessai.utils.distributions.get_uniform_distribution(dims, r, device='cpu')
Return a torch distribution that is uniform in the number of dims specified.
- Parameters
- dimsint
Number of dimensions.
- rfloat
Radius to use for lower and upper bounds.
- devicestr, optional
Device on which the distribution is placed.
- Returns
nflows.distributions.uniform.BoxUniformInstance of BoxUniform which the lower and upper bounds set by the radius
- nessai.utils.distributions.get_multivariate_normal(dims, var=1, device='cpu')
Return a Pytorch distribution that is normally distributed in n dims with a given variance.
- Parameters
- dimsint
Number of dimensions.
- varfloat, optional
Variance.
- devicestr, optional
Device on which the distribution is placed.
- Returns
nessai.flows.distributions.MultivariateNormalInstance of MultivariateNormal with correct variance and dims.