Normal

Random normal initializer which simulate a normal distribution with specified parameters.

Parameters

• mu – defaults to 0.0

  The mean of the normal distribution

• sigma – defaults to 1.0

  The standard deviation of the normal distribution

• seed – defaults to None

  Random number generation seed that can be set for reproducibility.

Examples

>>> from river import optim

>>> init = optim.initializers.Normal(mu=0, sigma=1, seed=42)

>>> init(shape=1)
0.496714

>>> init(shape=2)
array([-0.1382643 ,  0.64768854])

Methods

call

Returns a fresh set of weights.

Parameters

• shape – defaults to 1