Class ThresholdConfig (1.5.0)

Version 1.5.0

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ThresholdConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The config for feature monitoring threshold. Next ID: 3

Attribute

Name

Description

value

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.

Inheritance

builtins.object > proto.message.Message > ThresholdConfig