ContinuousDistribution

class ContinuousDistribution

Bases: Distribution

Base class for representing continuous probability distributions.

abstract classmethod cdf(*args, **kwargs) → Tensor

Computes the cumulative distribution function.

Returns:

resulting cumulative probabilities.

Return type:

torch.Tensor

Raises:

NotImplementedError – must be implemented by the subclass.

abstract classmethod logcdf(*args, **kwargs) → Tensor

Computes the natural logarithm of the cumulative distribution function.

Returns:

log of the resulting cumulative probabilities.

Return type:

torch.Tensor

Raises:

NotImplementedError – must be implemented by the subclass.

abstract classmethod logpdf(*args, **kwargs) → Tensor

Computes the natural logarithm of the probability density function.

Returns:

log of the resulting relative likelihoods.

Return type:

torch.Tensor

Raises:

NotImplementedError – must be implemented by the subclass.

abstract classmethod pdf(*args, **kwargs) → Tensor

Computes the probability density function.

Returns:

resulting relative likelihoods.

Return type:

torch.Tensor

Raises:

NotImplementedError – must be implemented by the subclass.