SloppyCell.Optimization

Module Optimization

Functions

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fmin_powell_log_params(m, params, *args, **kwargs)

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fmin_log_params(m, params, *args, **kwargs)

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fmin(m, params, *args, **kwargs)

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fmin_xform(m, params, xforms, invforms, *args, **kwargs)
Nelder-Mead the cost over an arbitrary transform on the parameters.

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fmin_lm_log_params(m, params, *args, **kwargs)
Minimize the cost of a model using Levenberg-Marquadt in terms of log parameters.

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leastsq_log_params(m, params, *args, **kwargs)

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Variables

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logger = logging.getLogger('Optimization')

Imports: copy, sys, logging, scipy, KeyedList_mod, Utility, lmopt

Function Details

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fmin_xform(m, params, xforms, invforms, *args, **kwargs)

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Nelder-Mead the cost over an arbitrary transform on the parameters.

m         Model to minimize the cost for
params    initial parameter estimate
xforms    sequence of transforms (of length, len(params)) to apply to the 
          parameters before optimizing
invforms  sequences of inverse transforms to get back to straight parameters
*args     passed on to scipy.optimize.fmin
**kwargs  passed on to scipy.optimize.fmin
          For information on these, consult help(scipy.optimize.fmin)

fmin_lm_log_params(m, params, *args, **kwargs)

source code


Minimize the cost of a model using Levenberg-Marquadt in terms of log 
parameters.

The *args and **kwargs represent additional parmeters that will be passed to
the optimization algorithm. For your convenience, the docstring of that
function is appended below: