Interface ActiveLearningConfigOrBuilder (3.4.2)

Version 3.4.2

• 3.54.0 (latest)
• 3.53.0
• 3.52.0
• 3.50.0
• 3.49.0
• 3.48.0
• 3.47.0
• 3.46.0
• 3.45.0
• 3.44.0
• 3.43.0
• 3.42.0
• 3.41.0
• 3.40.0
• 3.38.0
• 3.37.0
• 3.36.0
• 3.35.0
• 3.34.0
• 3.33.0
• 3.32.0
• 3.31.0
• 3.30.0
• 3.29.0
• 3.28.0
• 3.25.0
• 3.24.0
• 3.23.0
• 3.22.0
• 3.21.0
• 3.20.0
• 3.19.0
• 3.18.0
• 3.17.0
• 3.16.0
• 3.15.0
• 3.14.0
• 3.13.0
• 3.12.0
• 3.11.0
• 3.10.0
• 3.9.0
• 3.8.0
• 3.7.0
• 3.6.0
• 3.5.0
• 3.4.2
• 3.3.0
• 3.2.0
• 3.0.0
• 2.9.8
• 2.8.9
• 2.7.4
• 2.5.3
• 2.4.0

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.