refit()#

ParametricContinuousModel.refit()#

Solve the Operator Inference regression using the data from the last fit() call, then extract the inferred operators.

This method is useful for calibrating the model operators with different solver hyperparameters without reprocessing any training data. For example, if solver is an opinf.lstsq.L2Solver, changing its regularizer attribute and calling this method solves the regression with the new regression value without re-factorizing the data matrix.