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Randomzied searches using roc_auc sometimes fail since there is no positive class label specified. I'm uncertain how to roll this down through the randomized search call...
One potential idea that I don't like is to guess the label, display it to the user and change that column to 1/0 according to that guess. Then the need to pass this down through the call stack to the roc_auc() function isn't required, though it could potentially obfuscate the data.
The text was updated successfully, but these errors were encountered:
Using the
model_eval.gues_binary_positive_label()
method.Randomzied searches using
roc_auc
sometimes fail since there is no positive class label specified. I'm uncertain how to roll this down through the randomized search call...One potential idea that I don't like is to guess the label, display it to the user and change that column to 1/0 according to that guess. Then the need to pass this down through the call stack to the roc_auc() function isn't required, though it could potentially obfuscate the data.
The text was updated successfully, but these errors were encountered: