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NluSettings(mapping=None, *, ignore_unknown_fields=False, **kwargs)
Settings related to NLU.
Attributes | |
---|---|
Name | Description |
model_type |
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. |
model_training_mode |
Indicates NLU model training mode. |
enable_spell_correction |
bool
Indicates if automatic spell correction is enabled in detect intent requests. |
Classes
ModelTrainingMode
ModelTrainingMode(value)
NLU model training mode.
ModelType
ModelType(value)
NLU model type.