Class: Google::Cloud::AIPlatform::V1::ThresholdConfig

Inherits:
Object
  • Object
show all
Extended by:
Protobuf::MessageExts::ClassMethods
Includes:
Protobuf::MessageExts
Defined in:
proto_docs/google/cloud/aiplatform/v1/model_monitoring.rb

Overview

The config for feature monitoring threshold.

Instance Attribute Summary collapse

Instance Attribute Details

#value ⇒ ::Float

Returns Specify a threshold value that can trigger the alert. If this threshold config is for feature distribution distance:

  1. For categorical feature, the distribution distance is calculated by L-inifinity norm.
  2. For numerical feature, the distribution distance is calculated by Jensen–Shannon divergence. Each feature must have a non-zero threshold if they need to be monitored. Otherwise no alert will be triggered for that feature.

Returns:

  • (::Float) —

    Specify a threshold value that can trigger the alert. If this threshold config is for feature distribution distance:

    1. For categorical feature, the distribution distance is calculated by L-inifinity norm.
    2. For numerical feature, the distribution distance is calculated by Jensen–Shannon divergence. Each feature must have a non-zero threshold if they need to be monitored. Otherwise no alert will be triggered for that feature.


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# File 'proto_docs/google/cloud/aiplatform/v1/model_monitoring.rb', line 249

class ThresholdConfig
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods
end