RandomCutForestConfiguration

Configuration for the Random Cut Forest algorithm used for anomaly detection in time-series data.

Types

Configuration for ignoring values that are near expected values from above during anomaly detection.

Configuration for ignoring values that are near expected values from below during anomaly detection.

The Prometheus query used to retrieve the time-series data for anomaly detection.

The number of data points sampled from the input stream for the Random Cut Forest algorithm. The default number is 256 consecutive data points.

The number of consecutive data points used to create a shingle for the Random Cut Forest algorithm. The default number is 8 consecutive data points.

open operator override fun equals(other: Any?): Boolean

open override fun hashCode(): Int

open override fun toString(): String