Bernoulli#
- class gpjax.likelihoods.Bernoulli(num_datapoints: 'int', integrator: 'AbstractIntegrator' = <gpjax.integrators.GHQuadratureIntegrator object at 0x7f301e86b890>)[source]#
Bases:
AbstractLikelihood- Parameters:
num_datapoints (int)
integrator (AbstractIntegrator)
- link_function(f)[source]#
The probit link function of the Bernoulli likelihood.
- Parameters:
f (Float[Array, "..."]) – Function values.
- Returns:
The likelihood function.
- Return type:
npd.Bernoulli
- predict(dist)[source]#
Evaluate the pointwise predictive distribution.
Evaluate the pointwise predictive distribution, given a Gaussian process posterior and likelihood parameters.
- Parameters:
dist ([npd.MultivariateNormal, GaussianDistribution].) – The Gaussian process posterior, evaluated at a finite set of test points.
- Returns:
The pointwise predictive distribution.
- Return type:
npd.Bernoulli