Anomaly DetectionAnomaly Detection

The Anomaly Detection Extension comprises the most well know unsupervised anomaly detection algorithms, assigning individual anomaly scores to data rows of example sets

The Anomaly Detection Extension comprises the most well know unsupervised anomaly detection algorithms, assigning individual anomaly scores to data rows of example sets

 

=== Version 3.0.1 ===

  • Added new operator Detect Outliers (Clustering) which wraps the three outlier detection algorithms
  • Detect Outliers (Clustering) provides a model to be applied on new data.
  • Added a new operator Detect Outliers (rPCA), which also provides a model.
  • Switched to an up-to date LibSVM version. Robust one-class is thus not available anymore. Results may differ slightly.
  • Switched the lib for RNN operator, results may differ.

=== Version 3.0.2 ===

  • Fixed minor bugs

Product Details

Version 3.0.2
File size 2.9 MB
Downloads 120673 (38 Today)120673 downloads
Vendor Markus Goldstein
Category Machine Learning
Released 7/27/21
Last Update 7/27/21 12:59 PM
(Changes)
License AGPL
Product web site https://github.com/Markus-Go/rapidminer-anomalydetection
Rating 0.0 stars(0)