isolation
fun isolationForest(x: Array<DoubleArray>, trees: Int = 100, maxDepth: Int = 0, subsample: Double = 0.7, extensionLevel: Int = 0): IsolationForest(source)
Fits an Isolation Forest model for anomaly detection.
Return
the fitted model.
Parameters
x
training samples.
trees
the number of trees.
max
the maximum depth of an isolation tree (0 for log2(subsample)).
subsample
the sampling rate for each tree.
extension
extension level for hyperplanes (0 for standard axis-aligned).