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@ -160,6 +160,7 @@ def run_aifeynman(pathdir,filename,BF_try_time,BF_ops_file_type, polyfit_deg=4,
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if test_data.size != 0:
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np.savetxt(pathdir+filename+"_test",test_data)
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PA = ParetoSet()
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# Run the code on the train data
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PA = run_AI_all(pathdir,filename+"_train",BF_try_time,BF_ops_file_type, polyfit_deg, NN_epochs)
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PA_list = PA.get_pareto_points()
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