vector_distribution

Defines Vector Distribution.

class VectorDistribution(values: list[Union[float, int]])

Bases: object

An object which samples values from a list of numbers.

values

A list containing values.

Raises:

• IndexError – If values is empty.

• TypeError – If values contains a value which is not a float or int.

Inits VectorDistribution with the provided arguments.

Parameters:

values – A list containing all the valid values.

get_random_values(n: int) → list[float]

Samples an array of values from the list of values with the given shape.

Parameters:

n – The number of values.

Returns:

np.ndarray[float]

get_samples_from_hypercube(n: int) → list[float]

Samples n values from a hypercube.

Parameters:

n – the number of samples.

Returns:

Samples of the distributions, sampled from a hypercube.