Settings related to NLU.
Attributes:
model_type (google.cloud.dialogflowcx_v3beta1.types.NluSettings.ModelType):
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 (google.cloud.dialogflowcx_v3beta1.types.NluSettings.ModelTrainingMode):
Indicates NLU model training mode.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-10-15 UTC."],[],[]]