[[["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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-08-20 UTC."],[[["\u003cp\u003eThis webpage provides documentation for the \u003ccode\u003eAutoMlImageClassificationMetadata.Types.SuccessfulStopReason\u003c/code\u003e enum, part of the Google Cloud AI Platform V1 library for .NET.\u003c/p\u003e\n"],["\u003cp\u003eThe latest version of the library covered in this documentation is 3.22.0, and documentation extends back to version 1.0.0.\u003c/p\u003e\n"],["\u003cp\u003eThe \u003ccode\u003eSuccessfulStopReason\u003c/code\u003e enum details the reasons why an AutoML image classification training job might stop successfully, which include reaching the budget (\u003ccode\u003eBudgetReached\u003c/code\u003e) or the model converging (\u003ccode\u003eModelConverged\u003c/code\u003e).\u003c/p\u003e\n"],["\u003cp\u003eThere are 3 possible fields to choose from which determine the reason for a successful job stop, those being \u003ccode\u003eBudgetReached\u003c/code\u003e, \u003ccode\u003eModelConverged\u003c/code\u003e, and \u003ccode\u003eUnspecified\u003c/code\u003e.\u003c/p\u003e\n"],["\u003cp\u003eAll these versions are a part of the \u003ccode\u003eGoogle.Cloud.AIPlatform.V1.Schema.TrainingJob.Definition\u003c/code\u003e namespace.\u003c/p\u003e\n"]]],[],null,[]]
