Known Issues - rubbs14/CSP-Analyzer GitHub Wiki

Memory Exceptions

For this and future releases, we are using a Miniconda environment built with the specifics required by the python ML classifier. We decided to use this approach for the ease of deployability. On the other hand, this approach requires more resources (especially RAM). It may happen that the memory available is too low, and the ML backend may generate some exceptions. In this case, just free some memory and restart the application.

No XML found

Please load the dataset files as described in the wiki section and try again.

No Python.exe found

Check that the Miniconda environment files are in the same folder from where the application was launched. In case the Miniconda files were missing, just manually copy the Miniconda3 folder to the application start path. Check that also the pickle_jar folder is there (this folder contains the ML training repo).

Unable to show Analysis results

This can be due to several causes. Usually, this comes after the Python backend runs out of memory. In this case, just free some memory and restart the application. If the Backend run successfully but still you get an error, then it may be that the software doesn't have the rights and permissions to access the user's Temp folder for writing. In this case, just rerun the application with Administrator rights.

No Actives found

This may be caused by incorrect or noisy peak picking. Please refer to the Tips-&-tricks section of this wiki to troubleshoot this issue.

Other errors

Please report us any other errors and we'll try to figure out what's going on. To help us with bug reporting you may also add the JSON files generated during the analysis using the respective button.