Interface SupervisedTuningDataStatsOrBuilder (3.55.0)

Version 3.55.0

• 3.56.0 (latest)
• 3.55.0
• 3.54.0
• 3.53.0
• 3.52.0
• 3.50.0
• 3.49.0
• 3.48.0
• 3.47.0
• 3.46.0
• 3.45.0
• 3.44.0
• 3.43.0
• 3.42.0
• 3.41.0
• 3.40.0
• 3.38.0
• 3.37.0
• 3.36.0
• 3.35.0
• 3.34.0
• 3.33.0
• 3.32.0
• 3.31.0
• 3.30.0
• 3.29.0
• 3.28.0
• 3.25.0
• 3.24.0
• 3.23.0
• 3.22.0
• 3.21.0
• 3.20.0
• 3.19.0
• 3.18.0
• 3.17.0
• 3.16.0
• 3.15.0
• 3.14.0
• 3.13.0
• 3.12.0
• 3.11.0
• 3.10.0
• 3.9.0
• 3.8.0
• 3.7.0
• 3.6.0
• 3.5.0
• 3.4.2
• 3.3.0
• 3.2.0
• 3.0.0
• 2.9.8
• 2.8.9
• 2.7.4
• 2.5.3
• 2.4.0

public interface SupervisedTuningDataStatsOrBuilder extends MessageOrBuilder

Implements

MessageOrBuilder

Methods

getTotalBillableCharacterCount() (deprecated)

public abstract long getTotalBillableCharacterCount()

Deprecated. google.cloud.aiplatform.v1.SupervisedTuningDataStats.total_billable_character_count is deprecated. See google/cloud/aiplatform/v1/tuning_job.proto;l=221

Output only. Number of billable characters in the tuning dataset.

int64 total_billable_character_count = 3 [deprecated = true, (.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
long	The totalBillableCharacterCount.

getTotalBillableTokenCount()

public abstract long getTotalBillableTokenCount()

Output only. Number of billable tokens in the tuning dataset.

int64 total_billable_token_count = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
long	The totalBillableTokenCount.

getTotalTruncatedExampleCount()

public abstract long getTotalTruncatedExampleCount()

The number of examples in the dataset that have been truncated by any amount.

int64 total_truncated_example_count = 10;

Returns
Type	Description
long	The totalTruncatedExampleCount.

getTotalTuningCharacterCount()

public abstract 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
Type	Description
long	The totalTuningCharacterCount.

getTruncatedExampleIndices(int index)

public abstract long getTruncatedExampleIndices(int index)

A partial sample of the indices (starting from 1) of the truncated examples.

repeated int64 truncated_example_indices = 11;

Parameter
Name	Description
index	int The index of the element to return.

Returns
Type	Description
long	The truncatedExampleIndices at the given index.

getTruncatedExampleIndicesCount()

public abstract int getTruncatedExampleIndicesCount()

A partial sample of the indices (starting from 1) of the truncated examples.

repeated int64 truncated_example_indices = 11;

Returns
Type	Description
int	The count of truncatedExampleIndices.

getTruncatedExampleIndicesList()

public abstract List<Long> getTruncatedExampleIndicesList()

A partial sample of the indices (starting from 1) of the truncated examples.

repeated int64 truncated_example_indices = 11;

Returns
Type	Description
List<Long>	A list containing the truncatedExampleIndices.

getTuningDatasetExampleCount()

public abstract long getTuningDatasetExampleCount()

Output only. Number of examples in the tuning dataset.

int64 tuning_dataset_example_count = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
long	The tuningDatasetExampleCount.

getTuningStepCount()

public abstract long getTuningStepCount()

Output only. Number of tuning steps for this Tuning Job.

int64 tuning_step_count = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
long	The tuningStepCount.

getUserDatasetExamples(int index)

public abstract 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];

Parameter
Name	Description
index	int

Returns
Type	Description
Content

getUserDatasetExamplesCount()

public abstract 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];

Returns
Type	Description
int

getUserDatasetExamplesList()

public abstract 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];

Returns
Type	Description
List<Content>

getUserDatasetExamplesOrBuilder(int index)

public abstract 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];

Parameter
Name	Description
index	int

Returns
Type	Description
ContentOrBuilder

getUserDatasetExamplesOrBuilderList()

public abstract 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];

Returns
Type	Description
List<? extends com.google.cloud.aiplatform.v1.ContentOrBuilder>

getUserInputTokenDistribution()

public abstract 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];

Returns
Type	Description
SupervisedTuningDatasetDistribution	The userInputTokenDistribution.

getUserInputTokenDistributionOrBuilder()

public abstract 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];

Returns
Type	Description
SupervisedTuningDatasetDistributionOrBuilder

getUserMessagePerExampleDistribution()

public abstract 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];

Returns
Type	Description
SupervisedTuningDatasetDistribution	The userMessagePerExampleDistribution.

getUserMessagePerExampleDistributionOrBuilder()

public abstract 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];

Returns
Type	Description
SupervisedTuningDatasetDistributionOrBuilder

getUserOutputTokenDistribution()

public abstract 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];

Returns
Type	Description
SupervisedTuningDatasetDistribution	The userOutputTokenDistribution.

getUserOutputTokenDistributionOrBuilder()

public abstract 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];

Returns
Type	Description
SupervisedTuningDatasetDistributionOrBuilder

hasUserInputTokenDistribution()

public abstract 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];

Returns
Type	Description
boolean	Whether the userInputTokenDistribution field is set.

hasUserMessagePerExampleDistribution()

public abstract 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];

Returns
Type	Description
boolean	Whether the userMessagePerExampleDistribution field is set.

hasUserOutputTokenDistribution()

public abstract 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];

Returns
Type	Description
boolean	Whether the userOutputTokenDistribution field is set.