Machine learning

Isolation forest

The APPLY_IFOREST function now supports a contamination parameter that specifies the approximate ratio of data points in the training data that are labeled as outliers. The function uses this contamination value to calculate an anomaly score threshold, a minimum limit that determines whether an input data point is marked as an outlier. You can set contamination instead of setting a threshold explicitly with the threshold parameter.