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public interface ActiveLearningConfigOrBuilder extends MessageOrBuilderImplements
MessageOrBuilderMethods
getHumanLabelingBudgetCase()
public abstract ActiveLearningConfig.HumanLabelingBudgetCase getHumanLabelingBudgetCase()| Returns | |
|---|---|
| Type | Description | 
ActiveLearningConfig.HumanLabelingBudgetCase | 
        |
getMaxDataItemCount()
public abstract long getMaxDataItemCount()Max number of human labeled DataItems.
 int64 max_data_item_count = 1;
| Returns | |
|---|---|
| Type | Description | 
long | 
        The maxDataItemCount.  | 
      
getMaxDataItemPercentage()
public abstract int getMaxDataItemPercentage()Max percent of total DataItems for human labeling.
 int32 max_data_item_percentage = 2;
| Returns | |
|---|---|
| Type | Description | 
int | 
        The maxDataItemPercentage.  | 
      
getSampleConfig()
public abstract SampleConfig getSampleConfig()Active learning data sampling config. For every active learning labeling iteration, it will select a batch of data based on the sampling strategy.
 .google.cloud.aiplatform.v1.SampleConfig sample_config = 3;
| Returns | |
|---|---|
| Type | Description | 
SampleConfig | 
        The sampleConfig.  | 
      
getSampleConfigOrBuilder()
public abstract SampleConfigOrBuilder getSampleConfigOrBuilder()Active learning data sampling config. For every active learning labeling iteration, it will select a batch of data based on the sampling strategy.
 .google.cloud.aiplatform.v1.SampleConfig sample_config = 3;
| Returns | |
|---|---|
| Type | Description | 
SampleConfigOrBuilder | 
        |
getTrainingConfig()
public abstract TrainingConfig getTrainingConfig()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.
 .google.cloud.aiplatform.v1.TrainingConfig training_config = 4;
| Returns | |
|---|---|
| Type | Description | 
TrainingConfig | 
        The trainingConfig.  | 
      
getTrainingConfigOrBuilder()
public abstract TrainingConfigOrBuilder getTrainingConfigOrBuilder()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.
 .google.cloud.aiplatform.v1.TrainingConfig training_config = 4;
| Returns | |
|---|---|
| Type | Description | 
TrainingConfigOrBuilder | 
        |
hasMaxDataItemCount()
public abstract boolean hasMaxDataItemCount()Max number of human labeled DataItems.
 int64 max_data_item_count = 1;
| Returns | |
|---|---|
| Type | Description | 
boolean | 
        Whether the maxDataItemCount field is set.  | 
      
hasMaxDataItemPercentage()
public abstract boolean hasMaxDataItemPercentage()Max percent of total DataItems for human labeling.
 int32 max_data_item_percentage = 2;
| Returns | |
|---|---|
| Type | Description | 
boolean | 
        Whether the maxDataItemPercentage field is set.  | 
      
hasSampleConfig()
public abstract boolean hasSampleConfig()Active learning data sampling config. For every active learning labeling iteration, it will select a batch of data based on the sampling strategy.
 .google.cloud.aiplatform.v1.SampleConfig sample_config = 3;
| Returns | |
|---|---|
| Type | Description | 
boolean | 
        Whether the sampleConfig field is set.  | 
      
hasTrainingConfig()
public abstract boolean hasTrainingConfig()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.
 .google.cloud.aiplatform.v1.TrainingConfig training_config = 4;
| Returns | |
|---|---|
| Type | Description | 
boolean | 
        Whether the trainingConfig field is set.  |