ModelDeploymentMonitoringBigQueryTable(
mapping=None, *, ignore_unknown_fields=False, **kwargs
)ModelDeploymentMonitoringBigQueryTable specifies the BigQuery table name as well as some information of the logs stored in this table.
Attributes |
|
|---|---|
| Name | Description |
log_source |
google.cloud.aiplatform_v1.types.ModelDeploymentMonitoringBigQueryTable.LogSource
The source of log. |
log_type |
google.cloud.aiplatform_v1.types.ModelDeploymentMonitoringBigQueryTable.LogType
The type of log. |
bigquery_table_path |
str
The created BigQuery table to store logs. Customer could do their own query & analysis. Format: bq://
|
request_response_logging_schema_version |
str
Output only. The schema version of the request/response logging BigQuery table. Default to v1 if unset. |
Classes
LogSource
LogSource(value)Indicates where does the log come from.
LogType
LogType(value)Indicates what type of traffic does the log belong to.
Methods
ModelDeploymentMonitoringBigQueryTable
ModelDeploymentMonitoringBigQueryTable(
mapping=None, *, ignore_unknown_fields=False, **kwargs
)ModelDeploymentMonitoringBigQueryTable specifies the BigQuery table name as well as some information of the logs stored in this table.