[[["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 2025-04-01 UTC."],[[["This webpage provides documentation for the `AutoMlImageClassificationMetadata.Types.SuccessfulStopReason` enum, part of the Google Cloud AI Platform V1 library for .NET."],["The latest version of the library covered in this documentation is 3.22.0, and documentation extends back to version 1.0.0."],["The `SuccessfulStopReason` enum details the reasons why an AutoML image classification training job might stop successfully, which include reaching the budget (`BudgetReached`) or the model converging (`ModelConverged`)."],["There are 3 possible fields to choose from which determine the reason for a successful job stop, those being `BudgetReached`, `ModelConverged`, and `Unspecified`."],["All these versions are a part of the `Google.Cloud.AIPlatform.V1.Schema.TrainingJob.Definition` namespace."]]],[]]
