Class ModelMonitoringConfig (1.24.1)

Version 1.24.1

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

The model monitoring configuration used for Batch Prediction Job.

Attributes
Name	Description
objective_configs	MutableSequence[google.cloud.aiplatform_v1beta1.types.ModelMonitoringObjectiveConfig] Model monitoring objective config.
alert_config	google.cloud.aiplatform_v1beta1.types.ModelMonitoringAlertConfig Model monitoring alert config.
analysis_instance_schema_uri	str YAML schema file uri in Cloud Storage describing the format of a single instance that you want Tensorflow Data Validation (TFDV) to analyze. If there are any data type differences between predict instance and TFDV instance, this field can be used to override the schema. For models trained with Vertex AI, this field must be set as all the fields in predict instance formatted as string.
stats_anomalies_base_directory	google.cloud.aiplatform_v1beta1.types.GcsDestination A Google Cloud Storage location for batch prediction model monitoring to dump statistics and anomalies. If not provided, a folder will be created in customer project to hold statistics and anomalies.

Inheritance

builtins.object > proto.message.Message > ModelMonitoringConfig