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Class SampleConfig (1.6.0)

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

Google.Cloud.AIPlatform.V1.dll

public SampleConfig()

public SampleConfig(SampleConfig other)

Parameter
Name	Description
`other`	`SampleConfig`

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; }

Property Value
Type	Description
`SampleConfig.FollowingBatchSampleSizeOneofCase`

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; }

Property Value
Type	Description
`SampleConfig.InitialBatchSampleSizeOneofCase`

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.

Property Value
Type	Description
`SampleConfig.Types.SampleStrategy`