Cloud AI Platform v1beta1 API - Class ActiveLearningConfig (1.0.0-beta10)

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

Reference documentation and code samples for the Cloud AI Platform v1beta1 API class ActiveLearningConfig.

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.ToString()

Namespace

Google.Cloud.AIPlatform.V1Beta1

Assembly

Google.Cloud.AIPlatform.V1Beta1.dll

Constructors

ActiveLearningConfig()

public ActiveLearningConfig()

ActiveLearningConfig(ActiveLearningConfig)

public ActiveLearningConfig(ActiveLearningConfig other)

Parameter
Name	Description
`other`	`ActiveLearningConfig`

Properties

HasMaxDataItemCount

public bool HasMaxDataItemCount { get; }

Gets whether the "max_data_item_count" field is set

Property Value
Type	Description
`bool`

HasMaxDataItemPercentage

public bool HasMaxDataItemPercentage { get; }

Gets whether the "max_data_item_percentage" field is set

Property Value
Type	Description
`bool`

HumanLabelingBudgetCase

public ActiveLearningConfig.HumanLabelingBudgetOneofCase HumanLabelingBudgetCase { get; }

Property Value
Type	Description
`ActiveLearningConfigHumanLabelingBudgetOneofCase`

MaxDataItemCount

public long MaxDataItemCount { get; set; }

Max number of human labeled DataItems.

Property Value
Type	Description
`long`

MaxDataItemPercentage

public int MaxDataItemPercentage { get; set; }

Max percent of total DataItems for human labeling.

Property Value
Type	Description
`int`

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`