rap9430

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optimize_final_model does not work with a classification pipeline

I am not sure that the following is quite informative, but here is the part of the script you asked for. column_descriptions = { 'col_numeric': 'output', 'nlp_col': 'nlp' } ml_predictor...

example1.py - exception is thrown

Did you fix that? It sounds simple, but i want to be sure about the solution.

Yolo returns uniformly placed detections (bboxes) with almost equal confidence.

Yes, that didn't work for me too.

Yolo returns uniformly placed detections (bboxes) with almost equal confidence.

Hm... Did you find a solution, too? If yes, then could you please share it with us?

Yolo returns uniformly placed detections (bboxes) with almost equal confidence.

@AlexeyAB Thanks! It works like charm. :D