Class FeaturestoreMonitoringConfig.ThresholdConfig.Builder (3.94.0)
Stay organized with collections
Save and categorize content based on your preferences.
Specify a threshold value that can trigger the alert.
For categorical feature, the distribution distance is calculated by
L-inifinity norm.
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.
Specify a threshold value that can trigger the alert.
For categorical feature, the distribution distance is calculated by
L-inifinity norm.
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.
Specify a threshold value that can trigger the alert.
For categorical feature, the distribution distance is calculated by
L-inifinity norm.
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.
Specify a threshold value that can trigger the alert.
For categorical feature, the distribution distance is calculated by
L-inifinity norm.
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.