Package com.google.cloud.aiplatform.v1

Class ActiveLearningConfig.Builder

java.lang.Object
com.google.protobuf.AbstractMessageLite.Builder
com.google.protobuf.AbstractMessage.Builder<BuilderT>
com.google.protobuf.GeneratedMessage.Builder<ActiveLearningConfig.Builder>
com.google.cloud.aiplatform.v1.ActiveLearningConfig.Builder
All Implemented Interfaces:
ActiveLearningConfigOrBuilder, com.google.protobuf.Message.Builder, com.google.protobuf.MessageLite.Builder, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, Cloneable
Enclosing class:
ActiveLearningConfig
public static final class ActiveLearningConfig.Builder extends com.google.protobuf.GeneratedMessage.Builder<ActiveLearningConfig.Builder> implements ActiveLearningConfigOrBuilder
 Parameters that configure the active learning pipeline. Active learning will
 label the data incrementally by several iterations. For every iteration, it
 will select a batch of data based on the sampling strategy.
Protobuf type google.cloud.aiplatform.v1.ActiveLearningConfig

  • Method Details

    • getDescriptor

      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor()

    • internalGetFieldAccessorTable

      protected com.google.protobuf.GeneratedMessage.FieldAccessorTable internalGetFieldAccessorTable()
      Specified by:
      internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessage.Builder<ActiveLearningConfig.Builder>

    • clear

      public ActiveLearningConfig.Builder clear()
      Specified by:
      clear in interface com.google.protobuf.Message.Builder
      Specified by:
      clear in interface com.google.protobuf.MessageLite.Builder
      Overrides:
      clear in class com.google.protobuf.GeneratedMessage.Builder<ActiveLearningConfig.Builder>

    • getDescriptorForType

      public com.google.protobuf.Descriptors.Descriptor getDescriptorForType()
      Specified by:
      getDescriptorForType in interface com.google.protobuf.Message.Builder
      Specified by:
      getDescriptorForType in interface com.google.protobuf.MessageOrBuilder
      Overrides:
      getDescriptorForType in class com.google.protobuf.GeneratedMessage.Builder<ActiveLearningConfig.Builder>

    • getDefaultInstanceForType

      public ActiveLearningConfig getDefaultInstanceForType()
      Specified by:
      getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuilder
      Specified by:
      getDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilder

    • build

      public ActiveLearningConfig build()
      Specified by:
      build in interface com.google.protobuf.Message.Builder
      Specified by:
      build in interface com.google.protobuf.MessageLite.Builder

    • buildPartial

      public ActiveLearningConfig buildPartial()
      Specified by:
      buildPartial in interface com.google.protobuf.Message.Builder
      Specified by:
      buildPartial in interface com.google.protobuf.MessageLite.Builder

    • mergeFrom

      public ActiveLearningConfig.Builder mergeFrom(com.google.protobuf.Message other)
      Specified by:
      mergeFrom in interface com.google.protobuf.Message.Builder
      Overrides:
      mergeFrom in class com.google.protobuf.AbstractMessage.Builder<ActiveLearningConfig.Builder>

    • mergeFrom

      public ActiveLearningConfig.Builder mergeFrom(ActiveLearningConfig other)

    • isInitialized

      public final boolean isInitialized()
      Specified by:
      isInitialized in interface com.google.protobuf.MessageLiteOrBuilder
      Overrides:
      isInitialized in class com.google.protobuf.GeneratedMessage.Builder<ActiveLearningConfig.Builder>

    • mergeFrom

      public ActiveLearningConfig.Builder mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
      Specified by:
      mergeFrom in interface com.google.protobuf.Message.Builder
      Specified by:
      mergeFrom in interface com.google.protobuf.MessageLite.Builder
      Overrides:
      mergeFrom in class com.google.protobuf.AbstractMessage.Builder<ActiveLearningConfig.Builder>
      Throws:
      IOException

    • getHumanLabelingBudgetCase

      public ActiveLearningConfig.HumanLabelingBudgetCase getHumanLabelingBudgetCase()
      Specified by:
      getHumanLabelingBudgetCase in interface ActiveLearningConfigOrBuilder

    • clearHumanLabelingBudget

      public ActiveLearningConfig.Builder clearHumanLabelingBudget()

    • hasMaxDataItemCount

      public boolean hasMaxDataItemCount()
       Max number of human labeled DataItems.
      int64 max_data_item_count = 1;
      Specified by:
      hasMaxDataItemCount in interface ActiveLearningConfigOrBuilder
      Returns:
      Whether the maxDataItemCount field is set.

    • getMaxDataItemCount

      public long getMaxDataItemCount()
       Max number of human labeled DataItems.
      int64 max_data_item_count = 1;
      Specified by:
      getMaxDataItemCount in interface ActiveLearningConfigOrBuilder
      Returns:
      The maxDataItemCount.

    • setMaxDataItemCount

      public ActiveLearningConfig.Builder setMaxDataItemCount(long value)
       Max number of human labeled DataItems.
      int64 max_data_item_count = 1;
      Parameters:
      value - The maxDataItemCount to set.
      Returns:
      This builder for chaining.

    • clearMaxDataItemCount

      public ActiveLearningConfig.Builder clearMaxDataItemCount()
       Max number of human labeled DataItems.
      int64 max_data_item_count = 1;
      Returns:
      This builder for chaining.

    • hasMaxDataItemPercentage

      public boolean hasMaxDataItemPercentage()
       Max percent of total DataItems for human labeling.
      int32 max_data_item_percentage = 2;
      Specified by:
      hasMaxDataItemPercentage in interface ActiveLearningConfigOrBuilder
      Returns:
      Whether the maxDataItemPercentage field is set.

    • getMaxDataItemPercentage

      public int getMaxDataItemPercentage()
       Max percent of total DataItems for human labeling.
      int32 max_data_item_percentage = 2;
      Specified by:
      getMaxDataItemPercentage in interface ActiveLearningConfigOrBuilder
      Returns:
      The maxDataItemPercentage.

    • setMaxDataItemPercentage

      public ActiveLearningConfig.Builder setMaxDataItemPercentage(int value)
       Max percent of total DataItems for human labeling.
      int32 max_data_item_percentage = 2;
      Parameters:
      value - The maxDataItemPercentage to set.
      Returns:
      This builder for chaining.

    • clearMaxDataItemPercentage

      public ActiveLearningConfig.Builder clearMaxDataItemPercentage()
       Max percent of total DataItems for human labeling.
      int32 max_data_item_percentage = 2;
      Returns:
      This builder for chaining.

    • hasSampleConfig

      public 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;
      Specified by:
      hasSampleConfig in interface ActiveLearningConfigOrBuilder
      Returns:
      Whether the sampleConfig field is set.

    • getSampleConfig

      public 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;
      Specified by:
      getSampleConfig in interface ActiveLearningConfigOrBuilder
      Returns:
      The sampleConfig.

    • setSampleConfig

      public ActiveLearningConfig.Builder setSampleConfig(SampleConfig value)
       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;

    • setSampleConfig

      public ActiveLearningConfig.Builder setSampleConfig(SampleConfig.Builder builderForValue)
       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;

    • mergeSampleConfig

      public ActiveLearningConfig.Builder mergeSampleConfig(SampleConfig value)
       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;

    • clearSampleConfig

      public ActiveLearningConfig.Builder clearSampleConfig()
       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;

    • getSampleConfigBuilder

      public SampleConfig.Builder getSampleConfigBuilder()
       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;

    • getSampleConfigOrBuilder

      public 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;
      Specified by:
      getSampleConfigOrBuilder in interface ActiveLearningConfigOrBuilder

    • hasTrainingConfig

      public 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;
      Specified by:
      hasTrainingConfig in interface ActiveLearningConfigOrBuilder
      Returns:
      Whether the trainingConfig field is set.

    • getTrainingConfig

      public 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;
      Specified by:
      getTrainingConfig in interface ActiveLearningConfigOrBuilder
      Returns:
      The trainingConfig.

    • setTrainingConfig

      public ActiveLearningConfig.Builder setTrainingConfig(TrainingConfig value)
       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;

    • setTrainingConfig

      public ActiveLearningConfig.Builder setTrainingConfig(TrainingConfig.Builder builderForValue)
       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;

    • mergeTrainingConfig

      public ActiveLearningConfig.Builder mergeTrainingConfig(TrainingConfig value)
       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;

    • clearTrainingConfig

      public ActiveLearningConfig.Builder clearTrainingConfig()
       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;

    • getTrainingConfigBuilder

      public TrainingConfig.Builder getTrainingConfigBuilder()
       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;

    • getTrainingConfigOrBuilder

      public 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;
      Specified by:
      getTrainingConfigOrBuilder in interface ActiveLearningConfigOrBuilder