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@@ -4,7 +4,7 @@ PyNomaly is a Python 3 implementation of LoOP (Local Outlier Probabilities).
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LoOP is a local density based outlier detection method by Kriegel, Kröger, Schubert, and Zimek which provides outlier
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scores in the range of [0,1] that are directly interpretable as the probability of a sample being an outlier.
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PyNomaly is a core library of [deepchecks](https://github.com/deepchecks/deepchecks) and [pysad](https://github.com/selimfirat/pysad).
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PyNomaly is a core library of [deepchecks](https://github.com/deepchecks/deepchecks), [OmniDocBench](https://github.com/opendatalab/OmniDocBench) and [pysad](https://github.com/selimfirat/pysad).
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