I want to create a predictive model with an ordinal goal variable based on a time series dataset of around one million entries. Unfortunatly the creation always failed with the error you can find in the attachment. Does anybody know how I can fix this problem?
Here are some more information:
- ThingWOrx Version: ThingWorx 9.0.2
- Used learners in the model: Neural_Net, Decision_Tree and Gradient_Boost
- Used Ensambler: Average
- LookbackSize: 4
- No use of goal history
Thank you already in adcance.
From the screenshot you posted, the issue is due to an OutOfMemory error. This happens when working on large dataset.
Try the steps from https://www.ptc.com/en/support/article/CS294545 to increase the memory allocated to the workers
unfortunately I still get the same error after following the steps from the link you posted. Do you have any other idea how I can solve my issue?
Thank you for your support.