Struct GoogleCloudAiplatformV1IndexDatapointSparseEmbedding 

pub struct GoogleCloudAiplatformV1IndexDatapointSparseEmbedding {
    pub values: Option<Vec<f32>>,
    pub dimensions: Option<Vec<i64>>,
}

Feature embedding vector for sparse index. An array of numbers whose values are located in the specified dimensions.

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

Fields

values: Option<Vec<f32>>

Required. The list of embedding values of the sparse vector.

dimensions: Option<Vec<i64>>

Required. The list of indexes for the embedding values of the sparse vector.

Trait Implementations

impl Clone for GoogleCloudAiplatformV1IndexDatapointSparseEmbedding

fn clone(&self) -> GoogleCloudAiplatformV1IndexDatapointSparseEmbedding

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for GoogleCloudAiplatformV1IndexDatapointSparseEmbedding

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

Formats the value using the given formatter.

impl Default for GoogleCloudAiplatformV1IndexDatapointSparseEmbedding

fn default() -> GoogleCloudAiplatformV1IndexDatapointSparseEmbedding

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for GoogleCloudAiplatformV1IndexDatapointSparseEmbedding

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for GoogleCloudAiplatformV1IndexDatapointSparseEmbedding

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 GoogleCloudAiplatformV1IndexDatapointSparseEmbedding