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src/n/e/NeuroTools-0.2.0/examples/sfn2008/sfn_example_parameterspace.py   NeuroTools(Download)
 
# scanning the ParameterSpace
for experiment in p.iter_inner():
    # calculation of the index in the space
    index = p.parameter_space_index(experiment)

src/n/e/NeuroTools-0.2.0/examples/retina/benchmark_linear.py   NeuroTools(Download)
    pbar=progressbar.ProgressBar(widgets=[name, " ", progressbar.Percentage(), ' ',
            progressbar.Bar(), ' ', progressbar.ETA()], maxval=N_exp)
    for i_exp,experiment in enumerate(p.iter_inner()):
        params = retina.params
        params.update(experiment) # updates what changed in the dictionary

src/n/e/NeuroTools-0.2.0/examples/retina/test_parallel.py   NeuroTools(Download)
                    'kernelseed' : ParameterRange(list([12345+ k for k in range(N_seeds)]))})
 
    dictlist = [p.as_dict() for p in params.iter_inner()]
    return dictlist
 

src/n/e/NeuroTools-0.2.0/examples/parameter_search/parameter_search_example.py   NeuroTools(Download)
    params = ParameterSpace(ParameterSet({'rate':ParameterRange(rates), 
                                          'weight': ParameterRange(weights)}))
    dictlist = [p.as_dict() for p in params.iter_inner()]
    return dictlist
 

src/p/y/PyNN-HEAD/test/unsorted/explore_space.py   PyNN(Download)
job_manager = JobManager(host_list, delay=0, quiet=False)
 
for sub_parameter_space in parameter_space.iter_inner(copy=True):
    for parameter_set in sub_parameter_space.realize_dists(n=trials, copy=True):
        ##print parameter_set.pretty()