Contact Center AI Insights V1 API - Class Google::Cloud::ContactCenterInsights::V1::TuneQaScorecardRevisionRequest (v1.6.0)

Reference documentation and code samples for the Contact Center AI Insights V1 API class Google::Cloud::ContactCenterInsights::V1::TuneQaScorecardRevisionRequest.

Request for TuneQaScorecardRevision endpoint.

Inherits

  • Object

Extended By

  • Google::Protobuf::MessageExts::ClassMethods

Includes

  • Google::Protobuf::MessageExts

Methods

#filter

def filter() -> ::String
Returns
  • (::String) — Required. Filter for selecting the feedback labels that needs to be used for training. This filter can be used to limit the feedback labels used for tuning to a feedback labels created or updated for a specific time-window etc.

#filter=

def filter=(value) -> ::String
Parameter
  • value (::String) — Required. Filter for selecting the feedback labels that needs to be used for training. This filter can be used to limit the feedback labels used for tuning to a feedback labels created or updated for a specific time-window etc.
Returns
  • (::String) — Required. Filter for selecting the feedback labels that needs to be used for training. This filter can be used to limit the feedback labels used for tuning to a feedback labels created or updated for a specific time-window etc.

#parent

def parent() -> ::String
Returns
  • (::String) — Required. The parent resource for new fine tuning job instance.

#parent=

def parent=(value) -> ::String
Parameter
  • value (::String) — Required. The parent resource for new fine tuning job instance.
Returns
  • (::String) — Required. The parent resource for new fine tuning job instance.

#validate_only

def validate_only() -> ::Boolean
Returns
  • (::Boolean) — Optional. Run in validate only mode, no fine tuning will actually run. Data quality validations like training data distributions will run. Even when set to false, the data quality validations will still run but once the validations complete we will proceed with the fine tune, if applicable.

#validate_only=

def validate_only=(value) -> ::Boolean
Parameter
  • value (::Boolean) — Optional. Run in validate only mode, no fine tuning will actually run. Data quality validations like training data distributions will run. Even when set to false, the data quality validations will still run but once the validations complete we will proceed with the fine tune, if applicable.
Returns
  • (::Boolean) — Optional. Run in validate only mode, no fine tuning will actually run. Data quality validations like training data distributions will run. Even when set to false, the data quality validations will still run but once the validations complete we will proceed with the fine tune, if applicable.