The default behavior for adding and solving with noisemodels has changed from Pastas 1.5. Find more information here

LmfitSolve#

class LmfitSolve(pcov=None, nfev=None, **kwargs)[source]#

Solving the model using the LmFit [Newville et al., 2019].

This is basically a wrapper around the scipy solvers, adding some cool functionality for boundary conditions.

Notes

lmfit/lmfit-py

Parameters

Methods#

__init__

ci_block_response

Method to calculate the confidence interval for the block response.

ci_contribution

Method to calculate the confidence interval for the contribution.

ci_simulation

Method to calculate the confidence interval for the simulation.

ci_step_response

Method to calculate the confidence interval for the step response.

get_parameter_sample

Method to obtain a parameter sets for monte carlo analyses.

misfit

This method is called by all solvers to obtain a series that are minimized in the optimization process.

objfunction

prediction_interval

Method to calculate the prediction interval for the simulation.

set_model

Method to set the Pastas Model instance.

solve

to_dict