WeightedSumFitter.score

WeightedSumFitter.score(X, y, coords=None, **kwargs)

Score the Bayesian \(R^2\) given inputs X and outputs y.

Note that the score is based on a comparison of the observed data y and the model’s expected value of the data, mu.

Caution

The Bayesian \(R^2\) is not the same as the traditional coefficient of determination, https://en.wikipedia.org/wiki/Coefficient_of_determination.

Parameters:

coords (Dict[str, Any] | None)

Return type:

Series