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Bug #4517
openClassifier Training Fails with “Training Dataset is Empty” After Feature Extraction Merge
Start date:
01/06/2026
Due date:
01/16/2026 (about 7 months late)
% Done:
100%
Estimated time:
Planned Due Date:
01/09/2026
Description
During pipeline execution, feature extraction for all test case files completes successfully and the extracted features are merged. However, when the classifier training stage is initiated, the application throws a Tkinter callback exception with a ValueError stating “Training dataset is empty.” This indicates that the merged feature set is not being correctly passed or populated before initiating the training process. As a result, classifier training fails despite successful feature extraction.
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