Interface ActiveLearningConfigOrBuilder (3.4.2)

Version 3.4.2

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public interface ActiveLearningConfigOrBuilder extends MessageOrBuilder

Implements

MessageOrBuilder

Methods

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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.TrainingConfig training_config = 4;

Returns

Type	Description
boolean	Whether the trainingConfig field is set.