com.google.cloud.aiplatform.v1

Interface ActiveLearningConfigOrBuilder

All Superinterfaces:

com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder

All Known Implementing Classes:

ActiveLearningConfig, ActiveLearningConfig.Builder

public interface ActiveLearningConfigOrBuilder
extends com.google.protobuf.MessageOrBuilder

Method Summary

Modifier and Type	Method and Description
ActiveLearningConfig.HumanLabelingBudgetCase	getHumanLabelingBudgetCase()
long	getMaxDataItemCount() Max number of human labeled DataItems.
int	getMaxDataItemPercentage() Max percent of total DataItems for human labeling.
SampleConfig	getSampleConfig() Active learning data sampling config.
SampleConfigOrBuilder	getSampleConfigOrBuilder() Active learning data sampling config.
TrainingConfig	getTrainingConfig() CMLE training config.
TrainingConfigOrBuilder	getTrainingConfigOrBuilder() CMLE training config.
boolean	hasMaxDataItemCount() Max number of human labeled DataItems.
boolean	hasMaxDataItemPercentage() Max percent of total DataItems for human labeling.
boolean	hasSampleConfig() Active learning data sampling config.
boolean	hasTrainingConfig() CMLE training config.

Methods inherited from interface com.google.protobuf.MessageOrBuilder

findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder

isInitialized

Method Detail

hasMaxDataItemCount

boolean hasMaxDataItemCount()

 Max number of human labeled DataItems.
 

int64 max_data_item_count = 1;

Returns:

Whether the maxDataItemCount field is set.

getMaxDataItemCount

long getMaxDataItemCount()

 Max number of human labeled DataItems.
 

int64 max_data_item_count = 1;

Returns:

The maxDataItemCount.

hasMaxDataItemPercentage

boolean hasMaxDataItemPercentage()

 Max percent of total DataItems for human labeling.
 

int32 max_data_item_percentage = 2;

Returns:

Whether the maxDataItemPercentage field is set.

getMaxDataItemPercentage

int getMaxDataItemPercentage()

 Max percent of total DataItems for human labeling.
 

int32 max_data_item_percentage = 2;

Returns:

The maxDataItemPercentage.

hasSampleConfig

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:

Whether the sampleConfig field is set.

getSampleConfig

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:

The sampleConfig.

getSampleConfigOrBuilder

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;

hasTrainingConfig

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:

Whether the trainingConfig field is set.

getTrainingConfig

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:

The trainingConfig.

getTrainingConfigOrBuilder

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;

getHumanLabelingBudgetCase

ActiveLearningConfig.HumanLabelingBudgetCase getHumanLabelingBudgetCase()