[[["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 2025-03-10 UTC."],[[["This webpage provides documentation for the `SampleConfig` class within the `Google.Cloud.AIPlatform.V1` namespace, detailing various versions of the API, ranging from version 1.0.0 to 3.22.0, with 3.22.0 being the latest."],["`SampleConfig` is a class used for configuring active learning data sampling in Google Cloud AI Platform, specifically the selection process of data for human labeling iterations, and it implements interfaces such as `IMessage`, `IEquatable`, `IDeepCloneable`, and `IBufferMessage`."],["The `SampleConfig` class includes properties like `FollowingBatchSamplePercentage` and `InitialBatchSamplePercentage`, which dictate the percentage of data to be labeled in subsequent and initial batches, respectively."],["The webpage also details the `SampleStrategy`, where users can determine how the data is selected for labeling, along with other parameters such as `FollowingBatchSampleSizeCase` and `InitialBatchSampleSizeCase` to further define the sampling process."],["Users can access the detailed documentation for the `SampleConfig` class, including its constructors, properties, and inherited members, by selecting from the provided version-specific links."]]],[]]
