Reference documentation and code samples for the Google Cloud Dialogflow Cx V3 Client class NluSettings.
Settings related to NLU.
Generated from protobuf message google.cloud.dialogflow.cx.v3.NluSettings
Namespace
Google \ Cloud \ Dialogflow \ Cx \ V3Methods
__construct
Constructor.
data
array
Optional. Data for populating the Message object.
↳ model_type
int
Indicates the type of NLU model.
↳ 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. You can set a separate classification threshold for the flow in each language enabled for the agent.
↳ model_training_mode
int
Indicates NLU model training mode.
getModelType
Indicates the type of NLU model.
int
setModelType
Indicates the type of NLU model.
var
int
$this
getClassificationThreshold
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.
float
setClassificationThreshold
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.
var
float
$this
getModelTrainingMode
Indicates NLU model training mode.
int
setModelTrainingMode
Indicates NLU model training mode.
var
int
$this
