NluSettings

Settings related to NLU.

JSON representation 
{
  "modelType": enum (ModelType),
  "classificationThreshold": number,
  "modelTrainingMode": enum (ModelTrainingMode)
}
Fields
modelType

enum (ModelType)

Indicates the type of NLU model.
classificationThreshold

number

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.
modelTrainingMode

enum (ModelTrainingMode)

Indicates NLU model training mode.

ModelType

NLU model type.

Enums
MODEL_TYPE_UNSPECIFIED Not specified. MODEL_TYPE_STANDARD will be used.
MODEL_TYPE_STANDARD Use standard NLU model.
MODEL_TYPE_ADVANCED Use advanced NLU model.

ModelTrainingMode

NLU model training mode.

Enums
MODEL_TRAINING_MODE_UNSPECIFIED Not specified. MODEL_TRAINING_MODE_AUTOMATIC will be used.
MODEL_TRAINING_MODE_AUTOMATIC NLU model training is automatically triggered when a flow gets modified. User can also manually trigger model training in this mode.
MODEL_TRAINING_MODE_MANUAL User needs to manually trigger NLU model training. Best for large flows whose models take long time to train.