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."],[[["The page provides documentation for `NluSettings`, a class within the `Google.Cloud.Dialogflow.Cx.V3` namespace, specifically for versions ranging from 1.0.0 to the latest version 2.23.0."],["`NluSettings` is used to configure settings related to Natural Language Understanding (NLU) in Dialogflow CX."],["The `NluSettings` class implements interfaces like `IMessage`, `IEquatable`, `IDeepCloneable`, and `IBufferMessage`, and inherits from the `Object` class."],["Key properties of `NluSettings` include `ClassificationThreshold`, which allows tuning of the machine learning classification threshold, as well as `ModelTrainingMode` and `ModelType` which define the training mode and model type, respectively."],["The documentation lists two constructors for `NluSettings`: a default constructor `NluSettings()` and an overload `NluSettings(NluSettings other)` to copy existing settings."]]],[]]
