distributions.FixedDistribution

Fixed distribution implementation.

Usage

Source

distributions.FixedDistribution()

A degenerate distribution that always returns the same fixed value. Useful for constants or deterministic parameters in models.

This class conforms to the Distribution protocol and provides methods to sample a constant value regardless of the number of samples requested.

Methods

Name	Description
__init__()	Initialize a fixed distribution.
sample()	Generate “samples” from the fixed distribution (always the same value).

---

__init__()

Initialize a fixed distribution.

Usage

Source

__init__(value)

Parameters

value: float

The constant value that will be returned by sampling.

---

sample()

Generate “samples” from the fixed distribution (always the same value).

Usage

Source

sample(size=None)

Parameters

size: Optional[Union[int, Tuple[int, …]]] = None

The number/shape of samples to generate:

• If None: returns the fixed value as a float
• If int: returns a 1-D array filled with the fixed value
• If tuple of ints: returns an array with that shape filled with the fixed value

Returns

Union[float, NDArray[np.float64]]

The fixed value:

• A single float when size is None
• A numpy array filled with the fixed value with shape determined by size parameter