BaseSolver

class BaseSolver(pcov=None, nfev=None, obj_func=None, **kwargs)

All solver instances inherit from the BaseSolver class.

Parameters

• pcov (Optional[DataFrame]) –

• nfev (Optional[int]) –

• obj_func (Optional[Callable[[...], Any]]) –

pcov

Pandas DataFrame with the correlation between the optimized parameters.

Type

pandas.DataFrame

pcor

Based on pcov, cannot be parsed. Pandas DataFrame with the correlation between the optimized parameters.

Type

pandas.DataFrame

nfev

Number of times the model is called during optimization.

Type

int

result

The object returned by the minimization method that is used. It depends on the solver what is actually returned.

Type

object

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.
prediction_interval	Method to calculate the prediction interval for the simulation.
set_model	Method to set the Pastas Model instance.
to_dict