Package PyDSTool :: Package Toolbox :: Module ParamEst :: Class BoundMin

Class BoundMin

    object --+        
             |        
common.Utility --+    
                 |    
          ParamEst --+
                     |
                    BoundMin

Bounded minimization parameter and initial condition optimizer for one-dimensional DS trajectories. Fits 1 parameter only.

Uses SciPy.optimize fminbound algorithm.

Instance Methods

[hide private]

__init__(self, **kw)
x.__init__(...) initializes x; see x.__class__.__doc__ for signature

source code

run(self, parConstraints, xtol=5e-05, maxiter=500, extra_args=(), verbose=False)
Run parameter estimation. source code

Inherited from ParamEst: evaluate, find_logs, iterate, key_logged_residual, par_sensitivity, pars_array_to_dict, pars_dict_to_array, pars_to_ixs, resetParArgs, reset_log, setAlgParams, setFn, show_log_record, weighted_par_sensitivity

Inherited from object: __delattr__, __getattribute__, __hash__, __new__, __reduce__, __reduce_ex__, __repr__, __setattr__, __str__

Properties

[hide private]

Inherited from object: __class__

Method Details

[hide private]

init(self, **kw)
(Constructor)

source code

x.__init__(...) initializes x; see x.__class__.__doc__ for signature

Overrides: object.__init__: (inherited documentation)

run(self, parConstraints, xtol=5e-05, maxiter=500, extra_args=`()`, verbose=False)

source code

Run parameter estimation. Returns a dictionary:

'success' -> boolean 'pars_sol' -> fitted values of pars 'pars_orig' -> original values of optimized pars 'sys_sol' -> trajectory of best fit Model trajectory 'alg_results' -> all other algorithm information (list)

Overrides: ParamEst.run: (inherited documentation)

Class BoundMin

__init__(self, **kw) (Constructor)

run(self, parConstraints, xtol=5e-05, maxiter=500, extra_args=(), verbose=False)

init(self, **kw)
(Constructor)

run(self, parConstraints, xtol=5e-05, maxiter=500, extra_args=`()`, verbose=False)