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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