# Model.getTuneResult()

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### Model.getTuneResult()

getTuneResult ( )

Use this routine to retrieve the results of a previous tune call. Calling this method with argument n causes tuned parameter set n to be copied into the model. Parameter sets are stored in order of decreasing quality, with parameter set 0 being the best. The number of available sets is stored in attribute TuneResultCount.

Once you have retrieved a tuning result, you can call optimize to use these parameter settings to optimize the model, or write to write the changed parameters to a .prm file.

Please refer to the parameter tuning section for details on the tuning tool.

Arguments:

n: The index of the tuning result to retrieve. The best result is available as index 0. The number of stored results is available in attribute TuneResultCount.

Example usage:

  model.tune()
for i in range(model.tuneResultCount):
model.getTuneResult(i)
model.write('tune'+str(i)+'.prm')