public sealed class TextExtractionEvaluationMetrics : IMessage<TextExtractionEvaluationMetrics>, IEquatable<TextExtractionEvaluationMetrics>, IDeepCloneable<TextExtractionEvaluationMetrics>, IBufferMessage, IMessage
Reference documentation and code samples for the Google AutoML v1 API class TextExtractionEvaluationMetrics.
Model evaluation metrics for text extraction problems.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-08-07 UTC."],[[["\u003cp\u003eThis document provides reference documentation for the \u003ccode\u003eTextExtractionEvaluationMetrics\u003c/code\u003e class within the Google AutoML v1 API for .NET, specifically version 3.3.0.\u003c/p\u003e\n"],["\u003cp\u003eThe \u003ccode\u003eTextExtractionEvaluationMetrics\u003c/code\u003e class is used for model evaluation metrics in text extraction problems, implementing several interfaces like \u003ccode\u003eIMessage\u003c/code\u003e, \u003ccode\u003eIEquatable\u003c/code\u003e, and \u003ccode\u003eIDeepCloneable\u003c/code\u003e.\u003c/p\u003e\n"],["\u003cp\u003eKey properties of this class include \u003ccode\u003eAuPrc\u003c/code\u003e, representing the Area under the precision recall curve, and \u003ccode\u003eConfidenceMetricsEntries\u003c/code\u003e, which contains metrics with confidence thresholds for deriving the precision-recall curve.\u003c/p\u003e\n"],["\u003cp\u003eThe document provides various versions of the API, with version 3.4.0 being the latest, and it details the class's constructors and inherited members from the \u003ccode\u003eobject\u003c/code\u003e class.\u003c/p\u003e\n"]]],[],null,[]]
