Struct GoogleCloudAiplatformV1SupervisedTuningDataStats 

pub struct GoogleCloudAiplatformV1SupervisedTuningDataStats {
    pub user_input_token_distribution: Option<GoogleCloudAiplatformV1SupervisedTuningDatasetDistribution>,
    pub user_message_per_example_distribution: Option<GoogleCloudAiplatformV1SupervisedTuningDatasetDistribution>,
    pub user_output_token_distribution: Option<GoogleCloudAiplatformV1SupervisedTuningDatasetDistribution>,
    pub total_billable_token_count: Option<i64>,
    pub total_billable_character_count: Option<i64>,
    pub tuning_dataset_example_count: Option<i64>,
    pub total_tuning_character_count: Option<i64>,
    pub tuning_step_count: Option<i64>,
    pub user_dataset_examples: Option<Vec<GoogleCloudAiplatformV1Content>>,
}

Tuning data statistics for Supervised Tuning.

This type is not used in any activity, and only used as part of another schema.

Fields

user_input_token_distribution: Option<GoogleCloudAiplatformV1SupervisedTuningDatasetDistribution>

Output only. Dataset distributions for the user input tokens.

user_message_per_example_distribution: Option<GoogleCloudAiplatformV1SupervisedTuningDatasetDistribution>

Output only. Dataset distributions for the messages per example.

user_output_token_distribution: Option<GoogleCloudAiplatformV1SupervisedTuningDatasetDistribution>

Output only. Dataset distributions for the user output tokens.

total_billable_token_count: Option<i64>

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

total_billable_character_count: Option<i64>

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

tuning_dataset_example_count: Option<i64>

Output only. Number of examples in the tuning dataset.

total_tuning_character_count: Option<i64>

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

tuning_step_count: Option<i64>

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

user_dataset_examples: Option<Vec<GoogleCloudAiplatformV1Content>>

Output only. Sample user messages in the training dataset uri.

Trait Implementations

impl Clone for GoogleCloudAiplatformV1SupervisedTuningDataStats

fn clone(&self) -> GoogleCloudAiplatformV1SupervisedTuningDataStats

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for GoogleCloudAiplatformV1SupervisedTuningDataStats

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for GoogleCloudAiplatformV1SupervisedTuningDataStats

fn default() -> GoogleCloudAiplatformV1SupervisedTuningDataStats

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for GoogleCloudAiplatformV1SupervisedTuningDataStats

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for GoogleCloudAiplatformV1SupervisedTuningDataStats

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl Part for GoogleCloudAiplatformV1SupervisedTuningDataStats