Class: Google::Apis::DialogflowV3::GoogleCloudDialogflowCxV3NluSettings

Inherits:
Object
  • Object
show all
Includes:
Core::Hashable, Core::JsonObjectSupport
Defined in:
lib/google/apis/dialogflow_v3/classes.rb,
lib/google/apis/dialogflow_v3/representations.rb,
lib/google/apis/dialogflow_v3/representations.rb

Overview

Settings related to NLU.

Instance Attribute Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(**args) ⇒ GoogleCloudDialogflowCxV3NluSettings

Returns a new instance of GoogleCloudDialogflowCxV3NluSettings.



2984
2985
2986
 
# File 'lib/google/apis/dialogflow_v3/classes.rb', line 2984

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

Instance Attribute Details

#classification_threshold ⇒ 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. Corresponds to the JSON property classificationThreshold

Returns:

  • (Float) 


2972
2973
2974
 
# File 'lib/google/apis/dialogflow_v3/classes.rb', line 2972

def classification_threshold
  @classification_threshold
end

#model_training_mode ⇒ String

Indicates NLU model training mode. Corresponds to the JSON property modelTrainingMode

Returns:

  • (String) 


2977
2978
2979
 
# File 'lib/google/apis/dialogflow_v3/classes.rb', line 2977

def model_training_mode
  @model_training_mode
end

#model_type ⇒ String

Indicates the type of NLU model. Corresponds to the JSON property modelType

Returns:

  • (String) 


2982
2983
2984
 
# File 'lib/google/apis/dialogflow_v3/classes.rb', line 2982

def model_type
  @model_type
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



2989
2990
2991
2992
2993
 
# File 'lib/google/apis/dialogflow_v3/classes.rb', line 2989

def update!(**args)
  @classification_threshold = args[:classification_threshold] if args.key?(:classification_threshold)
  @model_training_mode = args[:model_training_mode] if args.key?(:model_training_mode)
  @model_type = args[:model_type] if args.key?(:model_type)
end