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Normal

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

Parameters

  • mu

    Default0.0

    The mean of the normal distribution

  • sigma

    Default1.0

    The standard deviation of the normal distribution

  • seed

    Typeint | None

    DefaultNone

    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