Class ActiveLearningConfig (1.0.0)

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

Implements

IMessage<ActiveLearningConfig>, IEquatable<ActiveLearningConfig>, IDeepCloneable<ActiveLearningConfig>, IBufferMessage, IMessage

Inherited Members

Object.GetHashCode()

Object.GetType()

Object.MemberwiseClone()

Object.ToString()

Namespace

Google.Cloud.AIPlatform.V1

Assembly

Google.Cloud.AIPlatform.V1.dll

Constructors

ActiveLearningConfig()

public ActiveLearningConfig()

ActiveLearningConfig(ActiveLearningConfig)

public ActiveLearningConfig(ActiveLearningConfig other)

Parameter
Name	Description
`other`	`ActiveLearningConfig`

Properties

HumanLabelingBudgetCase

public ActiveLearningConfig.HumanLabelingBudgetOneofCase HumanLabelingBudgetCase { get; }

Property Value
Type	Description
`ActiveLearningConfig.HumanLabelingBudgetOneofCase`

MaxDataItemCount

public long MaxDataItemCount { get; set; }

Max number of human labeled DataItems.

Property Value
Type	Description
`Int64`

MaxDataItemPercentage

public int MaxDataItemPercentage { get; set; }

Max percent of total DataItems for human labeling.

Property Value
Type	Description
`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
Type	Description
`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
Type	Description
`TrainingConfig`