Interface ActiveLearningConfigOrBuilder (3.21.0)

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public interface ActiveLearningConfigOrBuilder extends MessageOrBuilder
MessageOrBuilder
public abstract ActiveLearningConfig.HumanLabelingBudgetCase getHumanLabelingBudgetCase()

getMaxDataItemCount()

public abstract long getMaxDataItemCount()

Max number of human labeled DataItems.

int64 max_data_item_count = 1;

Returns
TypeDescription
long

The maxDataItemCount.

getMaxDataItemPercentage()

public abstract int getMaxDataItemPercentage()

Max percent of total DataItems for human labeling.

int32 max_data_item_percentage = 2;

Returns
TypeDescription
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
TypeDescription
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
TypeDescription
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
TypeDescription
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
TypeDescription
TrainingConfigOrBuilder

hasMaxDataItemCount()

public abstract boolean hasMaxDataItemCount()

Max number of human labeled DataItems.

int64 max_data_item_count = 1;

Returns
TypeDescription
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
TypeDescription
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
TypeDescription
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
TypeDescription
boolean

Whether the trainingConfig field is set.