Anomaly Detection
DBSCAN
DBSCAN is located under Machine Learning ( ) in Anomaly Detection, in the left task pane. Use the drag-and-drop method to use the algorithm on the canvas. Click the algorithm to view and select different properties for analysis. Refer to Properties ...
Isolation Forest
Isolation Forest is located under Machine Learning () in Anomaly Detection, in the left task pane. Use the drag-and-drop method (or double-click on the node) to use the algorithm in the canvas. Click the algorithm to view and select different ...
Local Outlier Factor
Local Outlier Factor is located under Machine Learning ( ) in Anomaly Detection, in the task pane on the left. Use the drag-and-drop method (or double-click on the node) to use the algorithm in the canvas. Click the algorithm to view and select ...
One Class SVM
One Class SVM is located under Machine Learning ( ) in Anomaly Detection, in the left task pane. Use the drag-and-drop method to use the algorithm in the canvas. Click the algorithm to view and select different properties for analysis. Refer to ...
Model Compare
Working with Model Compare To start working with Model Compare, follow the steps given below. Go to the Home page and create a new workbook or open an existing workbook. Drag and drop the required dataset on the workbook canvas. In the Properties ...
AutoML
AutoML is located under Machine Learning > AutoML in the task pane. Use the drag-and-drop method (or double-click on the node) to use the algorithm in the canvas. Click the algorithm to view and select different properties for analysis. Example of ...