Class GoogleCloudAiplatformV1ActiveLearningConfig
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.
Implements
Inherited Members
Namespace: Google.Apis.Aiplatform.v1.Data
Assembly: Google.Apis.Aiplatform.v1.dll
Syntax
public class GoogleCloudAiplatformV1ActiveLearningConfig : IDirectResponseSchema
Properties
ETag
The ETag of the item.
Declaration
public virtual string ETag { get; set; }
Property Value
Type | Description |
---|---|
string |
MaxDataItemCount
Max number of human labeled DataItems.
Declaration
[JsonProperty("maxDataItemCount")]
public virtual long? MaxDataItemCount { get; set; }
Property Value
Type | Description |
---|---|
long? |
MaxDataItemPercentage
Max percent of total DataItems for human labeling.
Declaration
[JsonProperty("maxDataItemPercentage")]
public virtual int? MaxDataItemPercentage { get; set; }
Property Value
Type | Description |
---|---|
int? |
SampleConfig
Active learning data sampling config. For every active learning labeling iteration, it will select a batch of data based on the sampling strategy.
Declaration
[JsonProperty("sampleConfig")]
public virtual GoogleCloudAiplatformV1SampleConfig SampleConfig { get; set; }
Property Value
Type | Description |
---|---|
GoogleCloudAiplatformV1SampleConfig |
TrainingConfig
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.
Declaration
[JsonProperty("trainingConfig")]
public virtual GoogleCloudAiplatformV1TrainingConfig TrainingConfig { get; set; }
Property Value
Type | Description |
---|---|
GoogleCloudAiplatformV1TrainingConfig |