AnomalyDetectorFunction

AnomalyDetectorFunction[]

represents a function generated by AnomalyDetection for detecting whether data is anomalous or not.

Details and Options

Examples

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Basic Examples  (2)

Train a detector function on a numeric dataset:

Use the trained detector to find examples that are considered anomalous:

Find rarer probabilities of new examples:

Train an AnomalyDetectorFunction on a two-dimensional array of pseudorandom real numbers:

Use the trained AnomalyDetectorFunction to find anomalies in new examples with FindAnomalies:

Find anomalies and their corresponding positions:

Scope  (1)

Train an AnomalyDetectorFunction on a list of colors:

Attempt to find outliers in a list of colors using the trained anomaly detector:

Obtain information on the trained anomaly detector:

Obtain information on training time:

Find the training method:

Options  (1)

AcceptanceThreshold (1)

Create a dataset sampled from two different distributions:

Train an anomaly detector function:

Find anomalous/non-anomalous examples by specifying the AcceptanceThreshold:

Introduced in 2019
 (12.0)