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Hi everyone:
In 'outlier-detection-101'(https://pyod.readthedocs.io/en/latest/relevant_knowledge.html#outlier-detection-101), it said this package support 'Unsupervised Outlier Detection' and 'Semi-supervised Novelty Detection'.
I need 'Semi-supervised Novelty Detection', whose training data consists only of observations describing normal behavior, but l don't know which algorithm to choose.
I tried to find the answer from the examples, but the training data in the examples consists of both normal data and abnormal data.
The text was updated successfully, but these errors were encountered:
Hi everyone:
In 'outlier-detection-101'(https://pyod.readthedocs.io/en/latest/relevant_knowledge.html#outlier-detection-101), it said this package support 'Unsupervised Outlier Detection' and 'Semi-supervised Novelty Detection'.
I need 'Semi-supervised Novelty Detection', whose training data consists only of observations describing normal behavior, but l don't know which algorithm to choose.
I tried to find the answer from the examples, but the training data in the examples consists of both normal data and abnormal data.
The text was updated successfully, but these errors were encountered: