public sealed class SmartReplyMetrics.Types.TopNMetrics : IMessage<SmartReplyMetrics.Types.TopNMetrics>, IEquatable<SmartReplyMetrics.Types.TopNMetrics>, IDeepCloneable<SmartReplyMetrics.Types.TopNMetrics>, IBufferMessage, IMessage
Reference documentation and code samples for the Google Cloud Dialogflow v2 API class SmartReplyMetrics.Types.TopNMetrics.
Evaluation metrics when retrieving n smart replies with the model.
Number of retrieved smart replies. For example, when n is 3, this
evaluation contains metrics for when Dialogflow retrieves 3 smart replies
with the model.
Defined as number of queries whose top n smart replies have at least one
similar (token match similarity above the defined threshold) reply as the
real reply divided by number of queries with at least one smart reply.
Value ranges from 0.0 to 1.0 inclusive.
[[["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 documentation for the `SmartReplyMetrics.Types.TopNMetrics` class within the Google Cloud Dialogflow v2 API for .NET."],["The `TopNMetrics` class is used for evaluating metrics when retrieving 'n' smart replies from a Dialogflow model."],["The documentation covers various versions of the API, ranging from version 3.2.0 up to the latest version 4.26.0, including access to the documentation for each."],["The class implements several interfaces including `IMessage`, `IEquatable`, `IDeepCloneable`, and `IBufferMessage`, allowing for operations such as message handling, equality checking, deep cloning, and buffer manipulation."],["The documentation outlines the properties of the class, which include the `N` property representing the number of smart replies retrieved, and the `Recall` property, a float value between 0.0 and 1.0 that shows the effectiveness of the model's replies."]]],[]]
