Dialogflow CX V3 API - Class Google::Cloud::Dialogflow::CX::V3::NluSettings (v1.2.0)

Reference documentation and code samples for the Dialogflow CX V3 API class Google::Cloud::Dialogflow::CX::V3::NluSettings.

Settings related to NLU.

Inherits

  • Object

Extended By

  • Google::Protobuf::MessageExts::ClassMethods

Includes

  • Google::Protobuf::MessageExts

Methods

#classification_threshold

def classification_threshold() -> ::Float
Returns
  • (::Float) — To filter out false positive results and still get variety in matched natural language inputs for your agent, you can tune the machine learning classification threshold. If the returned score value is less than the threshold value, then a no-match event will be triggered. The score values range from 0.0 (completely uncertain) to 1.0 (completely certain). If set to 0.0, the default of 0.3 is used. You can set a separate classification threshold for the flow in each language enabled for the agent.

#classification_threshold=

def classification_threshold=(value) -> ::Float
Parameter
  • value (::Float) — To filter out false positive results and still get variety in matched natural language inputs for your agent, you can tune the machine learning classification threshold. If the returned score value is less than the threshold value, then a no-match event will be triggered. The score values range from 0.0 (completely uncertain) to 1.0 (completely certain). If set to 0.0, the default of 0.3 is used. You can set a separate classification threshold for the flow in each language enabled for the agent.
Returns
  • (::Float) — To filter out false positive results and still get variety in matched natural language inputs for your agent, you can tune the machine learning classification threshold. If the returned score value is less than the threshold value, then a no-match event will be triggered. The score values range from 0.0 (completely uncertain) to 1.0 (completely certain). If set to 0.0, the default of 0.3 is used. You can set a separate classification threshold for the flow in each language enabled for the agent.

#model_training_mode

def model_training_mode() -> ::Google::Cloud::Dialogflow::CX::V3::NluSettings::ModelTrainingMode
Returns

#model_training_mode=

def model_training_mode=(value) -> ::Google::Cloud::Dialogflow::CX::V3::NluSettings::ModelTrainingMode
Parameter
Returns

#model_type

def model_type() -> ::Google::Cloud::Dialogflow::CX::V3::NluSettings::ModelType
Returns

#model_type=

def model_type=(value) -> ::Google::Cloud::Dialogflow::CX::V3::NluSettings::ModelType
Parameter
Returns