Gaussian

Normal distribution with parameters mu and sigma.

Parameters

• seed – defaults to None

  Random number generator seed for reproducibility.

Attributes

• mode

  The most likely value in the distribution.

• mu

• n_samples

  The number of observed samples.

• sigma

Examples

>>> from river import proba

>>> p = proba.Gaussian().update(6).update(7)

>>> p
𝒩(μ=6.500, σ=0.707)

>>> p(6.5)
0.564189

>>> p.revert(7)
𝒩(μ=6.000, σ=0.000)

Methods

call

Probability mass/density function.

Parameters

• x (Any)

cdf

Cumulative density function, i.e. P(X <= x).

Parameters

• x (float)

revert

Reverts the parameters of the distribution for a given observation.

Parameters

• x (float)
• w – defaults to 1.0

sample

Sample a random value from the distribution.

update

Updates the parameters of the distribution given a new observation.

Parameters

• x (float)
• w – defaults to 1.0