Class: Google::Apis::MlV1::GoogleCloudMlV1RequestLoggingConfig

Inherits:

Object

• Object
• Google::Apis::MlV1::GoogleCloudMlV1RequestLoggingConfig

Includes:

Core::Hashable, Core::JsonObjectSupport

Defined in:

generated/google/apis/ml_v1/classes.rb,
generated/google/apis/ml_v1/representations.rb,
generated/google/apis/ml_v1/representations.rb

Overview

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.

Instance Attribute Summary

• #bigquery_table_name ⇒ String

  Required.

• #sampling_percentage ⇒ Float

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

Instance Method Summary

• #initialize(**args) ⇒ GoogleCloudMlV1RequestLoggingConfig constructor

  A new instance of GoogleCloudMlV1RequestLoggingConfig.

• #update!(**args) ⇒ Object

  Update properties of this object.

Methods included from Core::JsonObjectSupport

#to_json

Methods included from Core::Hashable

process_value, #to_h

Constructor Details

#initialize(**args) ⇒ GoogleCloudMlV1RequestLoggingConfig

Returns a new instance of GoogleCloudMlV1RequestLoggingConfig.

# File 'generated/google/apis/ml_v1/classes.rb', line 2012

def initialize(**args)
   update!(**args)
end

Instance Attribute Details

#bigquery_table_name ⇒ String

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 name	Type	Mode
model	STRING	REQUIRED
model_version	STRING	REQUIRED
time	TIMESTAMP	REQUIRED
raw_data	STRING	REQUIRED
raw_prediction	STRING	NULLABLE
groundtruth	STRING	NULLABLE

Corresponds to the JSON property bigqueryTableName

Returns:

• (String)

# File 'generated/google/apis/ml_v1/classes.rb', line 2003

def bigquery_table_name
  @bigquery_table_name
end

#sampling_percentage ⇒ Float

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. Corresponds to the JSON property samplingPercentage

Returns:

• (Float)

# File 'generated/google/apis/ml_v1/classes.rb', line 2010

def sampling_percentage
  @sampling_percentage
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object

# File 'generated/google/apis/ml_v1/classes.rb', line 2017

def update!(**args)
  @bigquery_table_name = args[:bigquery_table_name] if args.key?(:bigquery_table_name)
  @sampling_percentage = args[:sampling_percentage] if args.key?(:sampling_percentage)
end