Struct GoogleCloudAiplatformV1SampleConfig

pub struct GoogleCloudAiplatformV1SampleConfig {
    pub sample_strategy: Option<String>,
    pub following_batch_sample_percentage: Option<i32>,
    pub initial_batch_sample_percentage: Option<i32>,
}

Active learning data sampling config. For every active learning labeling iteration, it will select a batch of data based on the sampling strategy.

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

Fields

sample_strategy: Option<String>

Field to choose sampling strategy. Sampling strategy will decide which data should be selected for human labeling in every batch.

following_batch_sample_percentage: Option<i32>

The percentage of data needed to be labeled in each following batch (except the first batch).

initial_batch_sample_percentage: Option<i32>

The percentage of data needed to be labeled in the first batch.

Trait Implementations

impl Clone for GoogleCloudAiplatformV1SampleConfig

fn clone(&self) -> GoogleCloudAiplatformV1SampleConfig

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for GoogleCloudAiplatformV1SampleConfig

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

Formats the value using the given formatter.

impl Default for GoogleCloudAiplatformV1SampleConfig

fn default() -> GoogleCloudAiplatformV1SampleConfig

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for GoogleCloudAiplatformV1SampleConfig

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for GoogleCloudAiplatformV1SampleConfig

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 GoogleCloudAiplatformV1SampleConfig