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public interface SupervisedTuningDataStatsOrBuilder extends MessageOrBuilderImplements
MessageOrBuilderMethods
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 |
intThe 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. |