public sealed class TrainingConfig : IMessage<TrainingConfig>, IEquatable<TrainingConfig>, IDeepCloneable<TrainingConfig>, IBufferMessage, IMessage
Reference documentation and code samples for the Vertex AI v1beta1 API class TrainingConfig.
CMLE training config. For every active learning labeling iteration, system
will train a machine learning model on CMLE. The trained model will be used
by data sampling algorithm to select DataItems.
[[["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 2025-03-25 UTC."],[[["This documentation is for the `TrainingConfig` class, part of the Vertex AI v1beta1 API within the `Google.Cloud.AIPlatform.V1Beta1` namespace and `Google.Cloud.AIPlatform.V1Beta1.dll` assembly."],["The `TrainingConfig` class is used to define CMLE training configurations, which are used for training machine learning models in active learning labeling iterations."],["This class inherits from the base object class and implements interfaces such as `IMessage`, `IEquatable`, `IDeepCloneable`, and `IBufferMessage`."],["The `TrainingConfig` class has two constructors, one default and another that takes an existing `TrainingConfig` object as a parameter, and it includes a `TimeoutTrainingMilliHours` property to specify the timeout for the CMLE training job in milli hours."]]],[]]
