ConstantPrior

class uvex_transients.models.core.priors.ConstantPrior(value: float)

Prior which always returns a single constant value.

value

Constant value to return.

Type:

float

Notes

A point mass has no probability density, so pdf(), cdf(), and logpdf() all raise NotImplementedError for this class. Sampling does not go through _logpdf() at all.

Methods

cdf(x)	Evaluate the cumulative distribution function.
logcdf(x)	Evaluate the log cumulative distribution function.
logpdf(x)	Evaluate the log probability density function.
logpmf(x)	Evaluate the log probability mass function.
pdf(x)	Evaluate the probability density function.
pmf(x)	Evaluate the probability mass function.
registry()	dict[str, type[Prior]]: A copy of every concrete Prior subclass, keyed by DISTRIBUTION_NAME.
sample([size, rng])	Draw random samples from the prior.

Attributes

DISTRIBUTION_NAME	The public-facing name of this distribution prior class.
name	Human-readable name of the distribution.
support	(value, value) -- a degenerate point mass has no width.
value