Class ActiveLearningConfig (1.6.0) 

public sealed class ActiveLearningConfig : IMessage<ActiveLearningConfig>, IEquatable<ActiveLearningConfig>, IDeepCloneable<ActiveLearningConfig>, IBufferMessage, IMessage

Parameters that configure the active learning pipeline. Active learning will label the data incrementally by several iterations. For every iteration, it will select a batch of data based on the sampling strategy.

Inheritance

Object > ActiveLearningConfig

Namespace

Google.Cloud.AIPlatform.V1

Assembly

Google.Cloud.AIPlatform.V1.dll

Constructors

ActiveLearningConfig()

public ActiveLearningConfig()

ActiveLearningConfig(ActiveLearningConfig)

public ActiveLearningConfig(ActiveLearningConfig other)
Parameter
NameDescription
otherActiveLearningConfig

Properties

HumanLabelingBudgetCase

public ActiveLearningConfig.HumanLabelingBudgetOneofCase HumanLabelingBudgetCase { get; }
Property Value
TypeDescription
ActiveLearningConfig.HumanLabelingBudgetOneofCase

MaxDataItemCount

public long MaxDataItemCount { get; set; }

Max number of human labeled DataItems.

Property Value
TypeDescription
Int64

MaxDataItemPercentage

public int MaxDataItemPercentage { get; set; }

Max percent of total DataItems for human labeling.

Property Value
TypeDescription
Int32

SampleConfig

public SampleConfig SampleConfig { get; set; }

Active learning data sampling config. For every active learning labeling iteration, it will select a batch of data based on the sampling strategy.

Property Value
TypeDescription
SampleConfig

TrainingConfig

public TrainingConfig TrainingConfig { get; set; }

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.

Property Value
TypeDescription
TrainingConfig