[[["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 within the `Google.Cloud.AIPlatform.V1` library."],["The latest version of the library documented on this page is 3.22.0, but also covers versions dating back to 1.0.0."],["The `SuccessfulStopReason` enum defines the reasons why an AutoML image segmentation model might stop training, which include reaching the budget or the model converging."],["The documentation provides links to each available version, allowing users to access the specific documentation needed based on the version of the `Google.Cloud.AIPlatform.V1` library that they are using."],["Within this specific `SuccessfulStopReason` enum there are three available fields: `BudgetReached`, `ModelConverged`, and `Unspecified`."]]],[]]
