pint.fitter.ModelState

class pint.fitter.ModelState(fitter: Fitter, model: TimingModel)[source]

Bases: object

Record a model state and cache calculations

This class keeps track of a particular model state and all the associated matrices - design matrices, singular value decompositions, what have you - that are needed to compute a step and evaluate the quality of the fit.

These objects should be regarded as immutable but lazily evaluated.

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_)[source]: Predict the chi2 after taking a step based on the linear approximation

take_step_model(step, lambda_=1)[source]: Make a new model reflecting the new parameters.

take_step(step, lambda_) → ModelState[source]: Return a new state moved by lambda_*step.