object

ewma_anomaly_detector

EWMA (Exponentially Weighted Moving Average) anomaly detector for continuous sequence-like datasets. Learns per-step population mean and standard deviation from baseline training examples selected from a dataset object implementing the anomaly_dataset_protocol protocol and returns a detector term that can be used for scoring, prediction, and export.

Availability:

logtalk_load(ewma_anomaly_detector(loader))

Author: Paulo Moura

Version: 1:0:0

Date: 2026-05-06

Compilation flags:

static, context_switching_calls

Imports:

public anomaly_detector_common

Uses:

format

list

pairs

population

type

Remarks:

(none)

Inherited public predicates:

 anomaly_detector_options/2  check_anomaly_detector/1  check_option/1  check_options/1  default_option/1  default_options/1  diagnostic/2  diagnostics/2  export_to_clauses/4  export_to_file/4  learn/2  learn/3  option/2  option/3  predict/3  predict/4  print_anomaly_detector/1  score/3  score_all/3  valid_anomaly_detector/1  valid_option/1  valid_options/1

Public predicates

(no local declarations; see entity ancestors if any)

Protected predicates

(no local declarations; see entity ancestors if any)

Private predicates

(no local declarations; see entity ancestors if any)

Operators

(none)

See also

anomaly_dataset_protocol, anomaly_detector_protocol, cusum_anomaly_detector, isolation_forest_anomaly_detector, knn_distance_anomaly_detector, lof_anomaly_detector, modified_z_score_anomaly_detector, z_score_anomaly_detector