Package com.google.cloud.aiplatform.v1

Interface ActiveLearningConfigOrBuilder

All Superinterfaces:
com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder
All Known Implementing Classes:
ActiveLearningConfig, ActiveLearningConfig.Builder
@Generated public interface ActiveLearningConfigOrBuilder extends com.google.protobuf.MessageOrBuilder

  • Method Details

    • 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()