Success or Failure of our script written on a certain R package, depends on the starting seed values used in optimization in R. Solution is therefore, to Put the whole block of codes into a "Try and Catch Exception" clauses. Try part is to run the package based on the given starting seed values, in R. Catch exception part is when the former throws errors, then try Different Starting seed values again by randomization of it, and then run the Same R program again based on newest Starting seed value each time. So, to keep doing this Try and Catch Exception steps until you succeed in getting the results from the R package.
Another Term or Condition of our cooperation:
Milestone created has no partial release. Only full release made upon "delivery of fully working codes without errors", to our side.
I have experience working with indeterminate code which has to be wrapped in a try-catch block that attempts to correct the running environment by catching errors, running a section of code and restarting.
I will create a loop that only exits when the target value is reached or when the code runs without error and then wrap the code in a try-catch block. In the error section we will assign a different seed value and then re-start the loop.
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✅checked your project details: Try and Catch Exception in R Code
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