beanmachine.ppl.distributions.flat module
- class beanmachine.ppl.distributions.flat.Flat(shape=(1,))
Bases:
torch.distributions.distribution.DistributionFlat distribution used as an improper prior. Samples 0 with shape sample shape
- Args
shape: pass a tuple, and give a shape of Flat prior.
- arg_constraints = {}
- has_enumerate_support = False
- has_rsample = True
- log_prob(value)
Returns the log of the probability density/mass function evaluated at value.
- Parameters
value (Tensor) –
- rsample(sample_shape)
Generates a sample_shape shaped reparameterized sample or sample_shape shaped batch of reparameterized samples if the distribution parameters are batched.
- sample()
Generates a sample_shape shaped sample or sample_shape shaped batch of samples if the distribution parameters are batched.
- support = Real()