Google Cloud Ai Platform V1 Client - Class ModelDeploymentMonitoringBigQueryTable (1.39.0)

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

ModelDeploymentMonitoringBigQueryTable specifies the BigQuery table name as well as some information of the logs stored in this table.

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

Namespace

Google \ Cloud \ AIPlatform \ V1

Methods

__construct

Constructor.

Parameters
Name	Description
`data`	`array` Optional. Data for populating the Message object.
`↳ log_source`	`int` The source of log.
`↳ log_type`	`int` The type of log.
`↳ bigquery_table_path`	`string` The created BigQuery table to store logs. Customer could do their own query & analysis. Format: `bq://<project_id>.model_deployment_monitoring_<endpoint_id>.<tolower(log_source)>_<tolower(log_type)>`
`↳ request_response_logging_schema_version`	`string` Output only. The schema version of the request/response logging BigQuery table. Default to v1 if unset.

getLogSource

The source of log.

Returns
Type	Description
`int`	Enum of type LogSource.

setLogSource

The source of log.

Parameter
Name	Description
`var`	`int` Enum of type LogSource.

Returns
Type	Description
`$this`

getLogType

The type of log.

Returns
Type	Description
`int`	Enum of type LogType.

setLogType

The type of log.

Parameter
Name	Description
`var`	`int` Enum of type LogType.

Returns
Type	Description
`$this`

getBigqueryTablePath

The created BigQuery table to store logs. Customer could do their own query & analysis. Format: bq://<project_id>.model_deployment_monitoring_<endpoint_id>.<tolower(log_source)>_<tolower(log_type)>

Returns
Type	Description
`string`

setBigqueryTablePath