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Fix missing columns error message #10159
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if self.dataset.predictions_name: | ||
output_columns.append(self.dataset.predictions_name) | ||
else: | ||
output_columns.append("predictions") |
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Is there a reason we are hardcoding this to predictions and not self.predictions
which is the actual column_name passed to predictions?
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I guess I was basing this off of the logic in _get_args_for_metrics()
- it checks for column == "predictions" (hardcoded) or columns == self.dataset.predictions_name. Not sure what I'm missing here? I was under the impression self.dataset.predictions_name is the column_name passed to predictions
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I was under the impression self.dataset.predictions_name is the column_name passed to predictions
Thats only the case when the predictions column is passed via the dataset. If we use model.predict then that is not the case. Check this PR for the bug fix I did: #10160
Signed-off-by: Ann Zhang <[email protected]>
Signed-off-by: Ann Zhang <[email protected]>
Signed-off-by: Ann Zhang <[email protected]>
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Signed-off-by: Ann Zhang <[email protected]> Signed-off-by: swathi <[email protected]>
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