public interface SupervisedTuningDataStatsOrBuilder
extends com.google.protobuf.MessageOrBuilder
findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneoflong getTuningDatasetExampleCount()
Output only. Number of examples in the tuning dataset.
int64 tuning_dataset_example_count = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
long getTotalTuningCharacterCount()
Output only. Number of tuning characters in the tuning dataset.
int64 total_tuning_character_count = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
@Deprecated long getTotalBillableCharacterCount()
Output only. Number of billable characters in the tuning dataset.
int64 total_billable_character_count = 3 [deprecated = true, (.google.api.field_behavior) = OUTPUT_ONLY];
long getTotalBillableTokenCount()
Output only. Number of billable tokens in the tuning dataset.
int64 total_billable_token_count = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];long getTuningStepCount()
Output only. Number of tuning steps for this Tuning Job.
int64 tuning_step_count = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];boolean hasUserInputTokenDistribution()
Output only. Dataset distributions for the user input tokens.
.google.cloud.aiplatform.v1.SupervisedTuningDatasetDistribution user_input_token_distribution = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
SupervisedTuningDatasetDistribution getUserInputTokenDistribution()
Output only. Dataset distributions for the user input tokens.
.google.cloud.aiplatform.v1.SupervisedTuningDatasetDistribution user_input_token_distribution = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
SupervisedTuningDatasetDistributionOrBuilder getUserInputTokenDistributionOrBuilder()
Output only. Dataset distributions for the user input tokens.
.google.cloud.aiplatform.v1.SupervisedTuningDatasetDistribution user_input_token_distribution = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
boolean hasUserOutputTokenDistribution()
Output only. Dataset distributions for the user output tokens.
.google.cloud.aiplatform.v1.SupervisedTuningDatasetDistribution user_output_token_distribution = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
SupervisedTuningDatasetDistribution getUserOutputTokenDistribution()
Output only. Dataset distributions for the user output tokens.
.google.cloud.aiplatform.v1.SupervisedTuningDatasetDistribution user_output_token_distribution = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
SupervisedTuningDatasetDistributionOrBuilder getUserOutputTokenDistributionOrBuilder()
Output only. Dataset distributions for the user output tokens.
.google.cloud.aiplatform.v1.SupervisedTuningDatasetDistribution user_output_token_distribution = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
boolean hasUserMessagePerExampleDistribution()
Output only. Dataset distributions for the messages per example.
.google.cloud.aiplatform.v1.SupervisedTuningDatasetDistribution user_message_per_example_distribution = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];
SupervisedTuningDatasetDistribution getUserMessagePerExampleDistribution()
Output only. Dataset distributions for the messages per example.
.google.cloud.aiplatform.v1.SupervisedTuningDatasetDistribution user_message_per_example_distribution = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];
SupervisedTuningDatasetDistributionOrBuilder getUserMessagePerExampleDistributionOrBuilder()
Output only. Dataset distributions for the messages per example.
.google.cloud.aiplatform.v1.SupervisedTuningDatasetDistribution user_message_per_example_distribution = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];
List<Content> getUserDatasetExamplesList()
Output only. Sample user messages in the training dataset uri.
repeated .google.cloud.aiplatform.v1.Content user_dataset_examples = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
Content getUserDatasetExamples(int index)
Output only. Sample user messages in the training dataset uri.
repeated .google.cloud.aiplatform.v1.Content user_dataset_examples = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
int getUserDatasetExamplesCount()
Output only. Sample user messages in the training dataset uri.
repeated .google.cloud.aiplatform.v1.Content user_dataset_examples = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
List<? extends ContentOrBuilder> getUserDatasetExamplesOrBuilderList()
Output only. Sample user messages in the training dataset uri.
repeated .google.cloud.aiplatform.v1.Content user_dataset_examples = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
ContentOrBuilder getUserDatasetExamplesOrBuilder(int index)
Output only. Sample user messages in the training dataset uri.
repeated .google.cloud.aiplatform.v1.Content user_dataset_examples = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
long getTotalTruncatedExampleCount()
The number of examples in the dataset that have been truncated by any amount.
int64 total_truncated_example_count = 10;List<Long> getTruncatedExampleIndicesList()
A partial sample of the indices (starting from 1) of the truncated examples.
repeated int64 truncated_example_indices = 11;int getTruncatedExampleIndicesCount()
A partial sample of the indices (starting from 1) of the truncated examples.
repeated int64 truncated_example_indices = 11;long getTruncatedExampleIndices(int index)
A partial sample of the indices (starting from 1) of the truncated examples.
repeated int64 truncated_example_indices = 11;index - The index of the element to return.Copyright © 2025 Google LLC. All rights reserved.