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Copy file name to clipboardExpand all lines: docs/src/inverse_problems/petab_ode_param_fitting.md
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@@ -440,25 +440,25 @@ And one additional optional argument:
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Because `calibrate_model_multistart` handles initial guess sampling, unlike for `calibrate_model`, no initial guess has to be provided.
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Here, we fit parameters through 10 independent optimisation runs, using QuasiMonteCarlo's `SobolSample` method, and save the result to the OptimizationRuns folder:
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Here, we fit parameters through 10 independent optimisation runs, using QuasiMonteCarlo's `SobolSample` method, and save the result to the OptimisationRuns folder:
The best result across all runs can still be retrieved using `get_ps(res_ms, petab_problem)`, with the results of the individual runs being stored in the `res_ms.runs` field.
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To load the result in a later session, we can call:
where `"OptimizationRuns"` is the name of the save directory (specified in `calibrate_model_multistart`). If the OptimizationRuns folder contains the output from several runs, we can designate which to load using the `which_run` argument. Here we load the second run to be saved in that folder:
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where `"OptimisationRuns"` is the name of the save directory (specified in `calibrate_model_multistart`). If the OptimisationRuns folder contains the output from several runs, we can designate which to load using the `which_run` argument. Here we load the second run to be saved in that folder:
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