[[["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."],[[["This webpage provides documentation for the `AutoMlImageSegmentationMetadata.Types.SuccessfulStopReason` enum, part of the Google Cloud AI Platform V1 library for .NET."],["The latest version of this enum documentation is for version 3.22.0, with previous versions from 3.21.0 all the way down to 1.0.0 being documented."],["The `SuccessfulStopReason` enum within the `Google.Cloud.AIPlatform.V1.Schema.TrainingJob.Definition` namespace details the conditions under which an AutoML image segmentation training job would be considered to have stopped successfully, such as `BudgetReached` and `ModelConverged`."],["The page lists the possible values for the `SuccessfulStopReason` enum, which includes `Unspecified`, `BudgetReached`, and `ModelConverged`, each describing a specific reason for a successful stop."]]],[]]
