Google Cloud Ai Platform V1 Client - Class ThresholdConfig (0.25.0)

Version 0.25.0

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Reference documentation and code samples for the Google Cloud Ai Platform V1 Client class ThresholdConfig.

The config for feature monitoring threshold.

Generated from protobuf message google.cloud.aiplatform.v1.ThresholdConfig

Namespace

Google \ Cloud \ AIPlatform \ V1

Methods

__construct

Constructor.

Parameters
Name	Description
data	array Optional. Data for populating the Message object.
↳ 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.

getValue

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
Type	Description
float

hasValue

setValue

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.

Parameter
Name	Description
var	float

Returns
Type	Description
$this

getThreshold

Returns
Type	Description
string