LeastSquares#

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

Solver based on Scipy’s least_squares method [Virtanen et al., 2020].

Notes

This class is the default solve method called by the pastas Model solve method. All kwargs provided to the Model.solve() method are forwarded to the solver. From there, they are forwarded to Scipy least_squares solver.

Examples

>>> ml.solve(solver=ps.LeastSquares())

References

https://docs.scipy.org/doc/scipy/reference/generated/scipy.optimize.least_squares.html

Parameters

pcov (pandas.core.frame.DataFrame | None) –
nfev (int | None) –

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_covariances`	Method to get the covariance matrix from the jacobian.
`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`