With the train pipeline the status is succesfull, however when using the same approach to create the dataset for my testdata and running a test pipeline the status is failed. Also with the full pipeline the status is failed, both with the following error: ERROR: Failed to trigger full training and publish data, error: ‘BOWModel’ object has no attribute ‘dataset’. I also attached the full logs to this question.
b52ed002-0e4e-4b64-b039-4b2bba0436a4.txt (12.1 KB)
To create the train and test datasets I used the following approach: [Document Understanding: Machine Learning Document Classification Community Release - Help / Document Understanding - UiPath Community Forum](https://forum.uipath.com/t/document-understanding-machine-learning-document-classification-community-release/271983
Can someone please explain how I can solve this error?
Thanks in advance,
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Hi @pronk.nina, this is a bug and we are fixing it now. For now, you can just do the “train” pipeline. The “full pipeline run” and “evaluation run” ones have this bug and will be fixed soon.
Thank you for bringing this to our attention!
Any upcoming fix for this? is there any other way to bulk evaluate?
Besides that there is still no support for ML Classifier Trainer in a hybrid setting (over endpoint, not skill)?