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public interface ActiveLearningConfigOrBuilder extends MessageOrBuilderImplements
MessageOrBuilderMethods
getHumanLabelingBudgetCase()
public abstract ActiveLearningConfig.HumanLabelingBudgetCase getHumanLabelingBudgetCase()| Type | Description |
| ActiveLearningConfig.HumanLabelingBudgetCase |
getMaxDataItemCount()
public abstract long getMaxDataItemCount()Max number of human labeled DataItems.
int64 max_data_item_count = 1;
| Type | Description |
| long | The maxDataItemCount. |
getMaxDataItemPercentage()
public abstract int getMaxDataItemPercentage()Max percent of total DataItems for human labeling.
int32 max_data_item_percentage = 2;
| 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.v1beta1.SampleConfig sample_config = 3;
| 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.v1beta1.SampleConfig sample_config = 3;
| 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.v1beta1.TrainingConfig training_config = 4;
| 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.v1beta1.TrainingConfig training_config = 4;
| Type | Description |
| TrainingConfigOrBuilder |
hasMaxDataItemCount()
public abstract boolean hasMaxDataItemCount()Max number of human labeled DataItems.
int64 max_data_item_count = 1;
| 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;
| 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.v1beta1.SampleConfig sample_config = 3;
| 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.v1beta1.TrainingConfig training_config = 4;
| Type | Description |
| boolean | Whether the trainingConfig field is set. |