Troubleshooting When Using Machine Learning

Sometimes when using Machine Learning, you may get an error. If this happens, Simul8 will return a 5-digit error code to help diagnose its cause. For help rectifying the error, look up the code in the table below.

Please also ensure that you are using the 32-bit version of R and Python.
Code Error Solution
10001 or 10002 Could not read in Command line arguments Save your work and restart Simul8.
10003 Failed to import algorithm file Make sure the file you are trying to use exists and try again.
20000 - 29999 Failed to access Simulation parameters Save your work and restart Simul8.
30000 - 39999 Failed to read in Simulation parameters Save your work and restart Simul8.
40000 Failed to return a value Check that all the relevant R/Python packages are installed and that there are no errors in your R/Python script.
50000 - 59999 Failed to return value from algorithm file Make sure the function you are trying to use returns a whole number (for routing) or a real number i.e. not an imaginary number (for distributions).

If any problems persist, please contact Minitab Technical Support confirming the error code you have been given.