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 \ V1Methods
__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: |
getLogSource
The source of log.
| Returns | |
|---|---|
| Type | Description |
int | |
setLogSource
The source of log.
| Parameter | |
|---|---|
| Name | Description |
var |
int
|
| Returns | |
|---|---|
| Type | Description |
$this | |
getLogType
The type of log.
| Returns | |
|---|---|
| Type | Description |
int | |
setLogType
The type of log.
| Parameter | |
|---|---|
| Name | Description |
var |
int
|
| 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
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)>
| Parameter | |
|---|---|
| Name | Description |
var |
string
|
| Returns | |
|---|---|
| Type | Description |
$this | |