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 2025-04-09 UTC."],[[["The webpage provides documentation for `NluSettings`, a class within the `Google.Cloud.Dialogflow.Cx.V3` namespace, used for managing settings related to Natural Language Understanding (NLU) in the Dialogflow CX platform."],["The latest version of the documentation available is 2.23.0, and the page includes links to documentation for various other versions of `NluSettings`, all the way back to version 1.0.0."],["`NluSettings` allows configuration of properties like `ClassificationThreshold`, which determines the certainty level for matching natural language inputs, `ModelTrainingMode` and `ModelType`, which indicates the model training mode and the type of the model."],["The `NluSettings` class implements several interfaces, such as `IMessage`, `IEquatable`, `IDeepCloneable`, and `IBufferMessage`, and inherits members from the base `Object` class."],["The webpage provides information on the constructors available for creating `NluSettings` objects, both with and without parameters."]]],[]]
