Anomaly detection using LoOP: Local Outlier Probabilities, a local density based outlier detection method providing an outlier score in the range of [0,1].
Add regression tests to establish a baseline with the current working version of PyNomaly by comparing the LoOP results of a predefined array of values to the expted results. These regression tests can be used to compare the results of future refactored versions. If we detect differences in the results, we will know that something in our refactored calculations is wrong.
Add regression tests to establish a baseline with the current working version of PyNomaly by comparing the LoOP results of a predefined array of values to the expted results. These regression tests can be used to compare the results of future refactored versions. If we detect differences in the results, we will know that something in our refactored calculations is wrong.