Anomaly Detection

Cristinel

In the Visual ML, a new type of problem could be added - Anomaly Detection. It could include algorithms like Isolation Forest, Robust Covariance, Local Outlier Factor, One Class SVM, Gaussian Mixture, Kernel Density, DBSCAN, OPTICS, Elliptice Envelope. etc.

I would like to find anomalies in data using multiple algorithms at once.

Stef

https://community.dataiku.com/discussion/45422/anomaly-detection

Hi @Cristinel, thanks for your feedback. This request is now in our backlog.

For information, the clustering task already includes two of the anomaly detection algorithms you mentioned: Isolation Forest and DBSCAN. You can find more details about how these two algorithms in the documentation here: https://doc.dataiku.com/dss/latest/machine-learning/algorithms/in-memory-python.html#clustering-algorithms