CorrectionFactors¶
- class mastml.error_analysis.CorrectionFactors(residuals, model_errors)[source]¶
Bases:
objectClass for performing recalibration of model errors (uncertainty quantification) based on the method from the work of Palmer et al.
- Args:
residuals: (pd.Series), series containing the true model errors (residuals)
model_errors: (pd.Series), series containing the predicted model errors
- Methods:
- nll: Method to perform optimization of normalized model error distribution using the negative log likelihood function
- Args:
None
- Returns:
a: (float), the slope of the recalibration linear fit
b: (float), the intercept of the recalibration linear fit
- _nll_opt: Method for evaluating the negative log likelihood function for set of residuals and model errors
- Args:
x: (np.array), array providing the initial guess of (a, b)
- Returns:
_ : (float), the recalibrated error value
Methods Summary
nll()Methods Documentation