public sealed class TrainingConfig : IMessage<TrainingConfig>, IEquatable<TrainingConfig>, IDeepCloneable<TrainingConfig>, IBufferMessage, IMessage
Reference documentation and code samples for the Cloud AI Platform 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."],[[["The `TrainingConfig` class is part of the Google Cloud AI Platform v1beta1 API, specifically within the `Google.Cloud.AIPlatform.V1Beta1` namespace, and is used for configuring training settings for machine learning models."],["This class, `TrainingConfig`, is a sealed class that implements interfaces like `IMessage`, `IEquatable`, `IDeepCloneable`, and `IBufferMessage`, and inherits from the base `object` class."],["The `TrainingConfig` class is designed to be used with CMLE training, where a machine learning model is trained in each active learning iteration, which is then used by a data sampling algorithm."],["The class offers two constructors: a default constructor and one that takes another `TrainingConfig` instance as an argument, and has a single property, `TimeoutTrainingMilliHours`, used to define the timeout duration for the training in milli-hours."],["The latest version of this API is `1.0.0-beta21`, which contains the `TrainingConfig` class as defined in this documentation, and version `1.0.0-beta20` is available as well."]]],[]]
