pint.fitter.WLSState
- class pint.fitter.WLSState(fitter, model, threshold=None)[source]
Bases:
ModelState
Methods
predicted_chi2
(step, lambda_)Predict the chi2 after taking a step based on the linear approximation
take_step
(step[, lambda_])Return a new state moved by lambda_*step.
take_step_model
(step[, lambda_])Make a new model reflecting the new parameters.
Attributes
chi2
covariance_matrix
parameter_covariance_matrix
resids
step
- predicted_chi2(step, lambda_)
Predict the chi2 after taking a step based on the linear approximation
- take_step_model(step, lambda_=1)
Make a new model reflecting the new parameters.