scoringrules.logs_laplace

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scoringrules.logs_laplace#

scoringrules.logs_laplace(obs: ArrayLike, location: ArrayLike = 0.0, scale: ArrayLike = 1.0, *, backend: Backend = None) → ArrayLike#

Compute the logarithmic score (LS) for the Laplace distribution.

This score is equivalent to the negative log likelihood of the Laplace distribution

Parameters:
obsarray_like

Observed values.

locationarray_like

Location parameter of the forecast laplace distribution.

scalearray_like

Scale parameter of the forecast laplace distribution. The LS between obs and Laplace(location, scale).

Returns:
scorearray_like

The LS between obs and Laplace(location, scale).

Examples

>>> import scoringrules as sr
>>> sr.logs_laplace(0.3, 0.1, 0.2)
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