normal_distribution

Defines the Normal Distribution.

class NormalDistribution(mu: Union[float, int], sigma: Union[float, int])

Bases: object

An object which samples values from a normal distributions.

mu

Mean (“centre”) of the distributions.

sigma

Standard deviation (spread or “width”) of the distributions.

Must be non-negative.

Raises:

• ValueError – If sigma < 0.

• TypeError – If mu is not float or int.

• TypeError – If sigma is not float or int.

Inits NormalDistribution with the provided arguments.

Parameters:

• mu – Mean (“centre”) of the distributions.

• sigma – Standard deviation (spread or “width”) of the distributions. Must be non-negative.

get_random_values(n: int) → list[float]

Samples an array with the given distribution.

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 distribution, sampled from a hypercube.