GoogleCloudMlV1RequestLoggingConfig class

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](/bigquery/quotas). 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](/ml-engine/docs/continuous-evaluation/), you do not need to specify this configuration manually. Setting up continuous evaluation automatically enables logging of request-response pairs.

Constructors

GoogleCloudMlV1RequestLoggingConfig({String? bigqueryTableName, double? samplingPercentage})

GoogleCloudMlV1RequestLoggingConfig.fromJson(Map json_)

Properties

bigqueryTableName ↔ String?

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.

getter/setter pair

hashCode → int

The hash code for this object.

no setter, inherited

runtimeType → Type

A representation of the runtime type of the object.

no setter, inherited

samplingPercentage ↔ double?

Percentage of requests to be logged, expressed as a fraction from 0 to 1.

getter/setter pair

Methods

noSuchMethod(Invocation invocation) → dynamic

Invoked when a nonexistent method or property is accessed.

inherited

toJson() → Map<String, dynamic>

toString() → String

A string representation of this object.

inherited

Operators

operator ==(Object other) → bool

The equality operator.

inherited