Interface DatasetStatsOrBuilder

All Superinterfaces:
com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder
All Known Implementing Classes:
DatasetStats, DatasetStats.Builder

@Generated public interface DatasetStatsOrBuilder extends com.google.protobuf.MessageOrBuilder
  • Method Details

    • getTuningDatasetExampleCount

      long getTuningDatasetExampleCount()
       Output only. Number of examples in the tuning dataset.
       
      int64 tuning_dataset_example_count = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Returns:
      The tuningDatasetExampleCount.
    • getTotalTuningCharacterCount

      long getTotalTuningCharacterCount()
       Output only. Number of tuning characters in the tuning dataset.
       
      int64 total_tuning_character_count = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Returns:
      The totalTuningCharacterCount.
    • getTotalBillableCharacterCount

      long getTotalBillableCharacterCount()
       Output only. Number of billable characters in the tuning dataset.
       
      int64 total_billable_character_count = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Returns:
      The totalBillableCharacterCount.
    • getTuningStepCount

      long getTuningStepCount()
       Output only. Number of tuning steps for this Tuning Job.
       
      int64 tuning_step_count = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Returns:
      The tuningStepCount.
    • hasUserInputTokenDistribution

      boolean hasUserInputTokenDistribution()
       Output only. Dataset distributions for the user input tokens.
       
      .google.cloud.aiplatform.v1beta1.DatasetDistribution user_input_token_distribution = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Returns:
      Whether the userInputTokenDistribution field is set.
    • getUserInputTokenDistribution

      DatasetDistribution getUserInputTokenDistribution()
       Output only. Dataset distributions for the user input tokens.
       
      .google.cloud.aiplatform.v1beta1.DatasetDistribution user_input_token_distribution = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Returns:
      The userInputTokenDistribution.
    • getUserInputTokenDistributionOrBuilder

      DatasetDistributionOrBuilder getUserInputTokenDistributionOrBuilder()
       Output only. Dataset distributions for the user input tokens.
       
      .google.cloud.aiplatform.v1beta1.DatasetDistribution user_input_token_distribution = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
    • hasUserOutputTokenDistribution

      boolean hasUserOutputTokenDistribution()
       Output only. Dataset distributions for the user output tokens.
       
      optional .google.cloud.aiplatform.v1beta1.DatasetDistribution user_output_token_distribution = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Returns:
      Whether the userOutputTokenDistribution field is set.
    • getUserOutputTokenDistribution

      DatasetDistribution getUserOutputTokenDistribution()
       Output only. Dataset distributions for the user output tokens.
       
      optional .google.cloud.aiplatform.v1beta1.DatasetDistribution user_output_token_distribution = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Returns:
      The userOutputTokenDistribution.
    • getUserOutputTokenDistributionOrBuilder

      DatasetDistributionOrBuilder getUserOutputTokenDistributionOrBuilder()
       Output only. Dataset distributions for the user output tokens.
       
      optional .google.cloud.aiplatform.v1beta1.DatasetDistribution user_output_token_distribution = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
    • hasUserMessagePerExampleDistribution

      boolean hasUserMessagePerExampleDistribution()
       Output only. Dataset distributions for the messages per example.
       
      .google.cloud.aiplatform.v1beta1.DatasetDistribution user_message_per_example_distribution = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Returns:
      Whether the userMessagePerExampleDistribution field is set.
    • getUserMessagePerExampleDistribution

      DatasetDistribution getUserMessagePerExampleDistribution()
       Output only. Dataset distributions for the messages per example.
       
      .google.cloud.aiplatform.v1beta1.DatasetDistribution user_message_per_example_distribution = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Returns:
      The userMessagePerExampleDistribution.
    • getUserMessagePerExampleDistributionOrBuilder

      DatasetDistributionOrBuilder getUserMessagePerExampleDistributionOrBuilder()
       Output only. Dataset distributions for the messages per example.
       
      .google.cloud.aiplatform.v1beta1.DatasetDistribution user_message_per_example_distribution = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];
    • getUserDatasetExamplesList

      List<Content> getUserDatasetExamplesList()
       Output only. Sample user messages in the training dataset uri.
       
      repeated .google.cloud.aiplatform.v1beta1.Content user_dataset_examples = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
    • getUserDatasetExamples

      Content getUserDatasetExamples(int index)
       Output only. Sample user messages in the training dataset uri.
       
      repeated .google.cloud.aiplatform.v1beta1.Content user_dataset_examples = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
    • getUserDatasetExamplesCount

      int getUserDatasetExamplesCount()
       Output only. Sample user messages in the training dataset uri.
       
      repeated .google.cloud.aiplatform.v1beta1.Content user_dataset_examples = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
    • getUserDatasetExamplesOrBuilderList

      List<? extends ContentOrBuilder> getUserDatasetExamplesOrBuilderList()
       Output only. Sample user messages in the training dataset uri.
       
      repeated .google.cloud.aiplatform.v1beta1.Content user_dataset_examples = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
    • getUserDatasetExamplesOrBuilder

      ContentOrBuilder getUserDatasetExamplesOrBuilder(int index)
       Output only. Sample user messages in the training dataset uri.
       
      repeated .google.cloud.aiplatform.v1beta1.Content user_dataset_examples = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];