public float ClassificationThreshold { get; set; }
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.
[[["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 2025-03-21 UTC."],[[["This webpage provides reference documentation for the `NluSettings` class within the Google.Cloud.Dialogflow.Cx.V3 namespace, covering versions from 1.0.0 up to the latest 2.23.0."],["The `NluSettings` class, which is part of the Dialogflow v3 API, manages settings related to Natural Language Understanding (NLU)."],["The `NluSettings` class allows for customization of NLU behavior through properties like `ClassificationThreshold`, `ModelTrainingMode`, and `ModelType`, which control aspects such as result filtering and model training."],["This class implements various interfaces, including `IMessage`, `IEquatable`, `IDeepCloneable`, and `IBufferMessage`, allowing it to be deeply cloned and buffer messages, as well as for equality comparisons."],["The most recent version of this documentation is 2.23.0, the earliest version provided is 1.0.0 and the current documentation being viewed is for version 2.13.0."]]],[]]
