Class GoogleCloudMlV1RequestLoggingConfig
Configuration for logging request-response pairs to a BigQuery table. Online prediction requests to a model version and the responses to these requests are converted to raw strings and saved to the specified BigQuery table. Logging is constrained by BigQuery quotas and limits. If your project exceeds BigQuery quotas or limits, AI Platform Prediction does not log request-response pairs, but it continues to serve predictions. If you are using continuous evaluation, you do not need to specify this configuration manually. Setting up continuous evaluation automatically enables logging of request-response pairs.
Implements
Inherited Members
Namespace: Google.Apis.CloudMachineLearningEngine.v1.Data
Assembly: Google.Apis.CloudMachineLearningEngine.v1.dll
Syntax
public class GoogleCloudMlV1RequestLoggingConfig : IDirectResponseSchema
Properties
BigqueryTableName
Required. Fully qualified BigQuery table name in the following format: " project_id.dataset_name.table_name" The specified table must already exist, and the "Cloud ML Service Agent" for your project must have permission to write to it. The table must have the following schema: Field nameType Mode model STRING REQUIRED model_version STRING REQUIRED time TIMESTAMP REQUIRED raw_data STRING REQUIRED raw_prediction STRING NULLABLE groundtruth STRING NULLABLE
Declaration
[JsonProperty("bigqueryTableName")]
public virtual string BigqueryTableName { get; set; }
Property Value
Type | Description |
---|---|
string |
ETag
The ETag of the item.
Declaration
public virtual string ETag { get; set; }
Property Value
Type | Description |
---|---|
string |
SamplingPercentage
Percentage of requests to be logged, expressed as a fraction from 0 to 1. For example, if you want to log
10% of requests, enter 0.1
. The sampling window is the lifetime of the model version. Defaults to 0.
Declaration
[JsonProperty("samplingPercentage")]
public virtual double? SamplingPercentage { get; set; }
Property Value
Type | Description |
---|---|
double? |