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Unsupervised methods usually consider 0 to be the normal label and 1 to be anomalous. However, some instances consider 1 to be normal and -1 to be anomalous.
Current solution is to autodetect this preference (both for training and prediction). Make it also user definable. See #17
The text was updated successfully, but these errors were encountered:
Unsupervised methods usually consider 0 to be the normal label and 1 to be anomalous. However, some instances consider 1 to be normal and -1 to be anomalous.
Current solution is to autodetect this preference (both for training and prediction). Make it also user definable. See #17
The text was updated successfully, but these errors were encountered: