Class: Aws::PrometheusService::Types::RandomCutForestConfiguration

Inherits:

Struct

• Object
• Struct
• Aws::PrometheusService::Types::RandomCutForestConfiguration

Includes:

Structure

Defined in:

lib/aws-sdk-prometheusservice/types.rb

Overview

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

See Also:

• AWS API Documentation

Constant Summary

SENSITIVE =

[]

Instance Attribute Summary

• #ignore_near_expected_from_above ⇒ Types::IgnoreNearExpected

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

• #ignore_near_expected_from_below ⇒ Types::IgnoreNearExpected

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

• #query ⇒ String

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

• #sample_size ⇒ Integer

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

• #shingle_size ⇒ Integer

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

Instance Attribute Details

#ignore_near_expected_from_above ⇒ Types::IgnoreNearExpected

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

# File 'lib/aws-sdk-prometheusservice/types.rb', line 2323

class RandomCutForestConfiguration < Struct.new(
  :query,
  :shingle_size,
  :sample_size,
  :ignore_near_expected_from_above,
  :ignore_near_expected_from_below)
  SENSITIVE = []
  include Aws::Structure
end

#ignore_near_expected_from_below ⇒ Types::IgnoreNearExpected

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

# File 'lib/aws-sdk-prometheusservice/types.rb', line 2323

class RandomCutForestConfiguration < Struct.new(
  :query,
  :shingle_size,
  :sample_size,
  :ignore_near_expected_from_above,
  :ignore_near_expected_from_below)
  SENSITIVE = []
  include Aws::Structure
end

#query ⇒ String

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

Random Cut Forest queries must be wrapped by a supported PromQL aggregation operator. For more information, see Aggregation operators on the Prometheus docs website.

Supported PromQL aggregation operators: avg, count, group, max, min, quantile, stddev, stdvar, and sum.

# File 'lib/aws-sdk-prometheusservice/types.rb', line 2323

class RandomCutForestConfiguration < Struct.new(
  :query,
  :shingle_size,
  :sample_size,
  :ignore_near_expected_from_above,
  :ignore_near_expected_from_below)
  SENSITIVE = []
  include Aws::Structure
end

#sample_size ⇒ Integer

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

# File 'lib/aws-sdk-prometheusservice/types.rb', line 2323

class RandomCutForestConfiguration < Struct.new(
  :query,
  :shingle_size,
  :sample_size,
  :ignore_near_expected_from_above,
  :ignore_near_expected_from_below)
  SENSITIVE = []
  include Aws::Structure
end

#shingle_size ⇒ Integer

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.

# File 'lib/aws-sdk-prometheusservice/types.rb', line 2323

class RandomCutForestConfiguration < Struct.new(
  :query,
  :shingle_size,
  :sample_size,
  :ignore_near_expected_from_above,
  :ignore_near_expected_from_below)
  SENSITIVE = []
  include Aws::Structure
end