Class SampleConfig (2.2.0)
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public sealed class SampleConfig : IMessage<SampleConfig>, IEquatable<SampleConfig>, IDeepCloneable<SampleConfig>, IBufferMessage, IMessage
Active learning data sampling config. For every active learning labeling
iteration, it will select a batch of data based on the sampling strategy.
Inheritance
Object >
SampleConfig
Namespace
Google.Cloud.AIPlatform.V1
Assembly
Google.Cloud.AIPlatform.V1.dll
Constructors
public SampleConfig(SampleConfig other)
Properties
public int FollowingBatchSamplePercentage { get; set; }
The percentage of data needed to be labeled in each following batch
(except the first batch).
Property Value |
---|
Type | Description |
Int32 | |
public SampleConfig.FollowingBatchSampleSizeOneofCase FollowingBatchSampleSizeCase { get; }
public int InitialBatchSamplePercentage { get; set; }
The percentage of data needed to be labeled in the first batch.
Property Value |
---|
Type | Description |
Int32 | |
public SampleConfig.InitialBatchSampleSizeOneofCase InitialBatchSampleSizeCase { get; }
public SampleConfig.Types.SampleStrategy SampleStrategy { get; set; }
Field to choose sampling strategy. Sampling strategy will decide which data
should be selected for human labeling in every batch.
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Last updated 2024-09-26 UTC.
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{"lastModified": "Last updated 2024-09-26 UTC."}
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