[[["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 2025-04-02 UTC."],[[["The webpage provides documentation for the `AutoMlImageClassificationMetadata.Types.SuccessfulStopReason` enum within the Google Cloud AI Platform's .NET library, specifically for versions ranging from 1.0.0 to the latest 3.22.0."],["This enum outlines the reasons why an AutoML image classification training job might successfully stop, such as reaching the allocated budget or achieving model convergence."],["The documentation includes details on three specific enum fields, `BudgetReached`, `ModelConverged`, and `Unspecified`, each with a brief explanation of their meaning."],["The library is part of the `Google.Cloud.AIPlatform.V1.Schema.TrainingJob.Definition` namespace and is located in the `Google.Cloud.AIPlatform.V1.dll` assembly."]]],[]]
