Error 0063
Updated: June 14, 2017
Error 0063
This exception is raised when R script evaluation fails with an error.
This error occurs when you have provided an R script in one of the R language modules in Azure Machine Learning, and the R code contains internal syntax errors. The exception can also occur if you provide the wrong inputs to the R script.
The error can also occur if the script is too big to execute in the workspace. The maximum script size for the Execute R Script module is 1,000 lines or 32KB of work space, whichever is lesser.
- In Azure Machine Learning Studio, right-click the module that has the error, and select View Log.
- Examine the standard error log of the module, which contains the stack trace.
- Lines beginning with [ModuleOutput] indicate output from R.
- Messages from R marked as warnings typically do not cause the experiment to fail.
- Resolve script issues.
- Check for R syntax errors. Check for variables that are defined but never populated.
- Review the input data and the script to determine if either the data or variables in the script use characters not supported by Azure Machine Learning.
- Check whether all package dependencies are installed.
- Check whether your code loads required libraries that are not loaded by default.
- Check whether the required packages are the correct version.
- Make sure that any dataset that you want to output is converted to a data frame.
- Resubmit the experiment.
These topics contains examples of R code that you can use, as well as links to experiments in the Cortana Intelligence Gallery that use R script. |
| Exception Messages |
|---|
| Error during evaluation of R script. |
| The following error occurred during evaluation of R script: ---------- Start of error message from R ---------- {0} ----------- End of error message from R ----------- |
| During evaluation of R script "{1}" the following error occurred: ---------- Start of error message from R ---------- {0} ----------- End of error message from R ----------- |
Need more help or troubleshooting tips for Azure Machine Learning? Try these resources: |