DirectPosteriorParameters

class DirectPosteriorParameters(max_sampling_batch_size=10000, enable_transform=True)

Bases: PosteriorParameters

Parameters for initializing DirectPosterior.

Fields:

max_sampling_batch_size: Batchsize of samples being drawn from

the proposal at every iteration.

enable_transform: Whether to transform parameters to unconstrained space

during MAP optimization. When False, an identity transform will be returned for theta_transform.

Parameters:

• max_sampling_batch_size (int)

• enable_transform (bool)

max_sampling_batch_size: int = 10000

enable_transform: bool = True

validate()

Validate DirectPosteriorParameters fields.

with_param(**kwargs)

Create a new instance of the class with updated field values.

Only allows updates to fields defined in the dataclass. Raises an error if any unknown or invalid field names are passed.

Parameters:

**kwargs – Field-value pairs to override in the new instance.

Returns:

A new instance of the same class with updated values.

Raises:

ValueError – If any of the provided keys are not valid dataclass fields.