Struct GoogleCloudAiplatformV1beta1IndexDatapointSparseEmbedding 

pub struct GoogleCloudAiplatformV1beta1IndexDatapointSparseEmbedding {
    pub dimensions: Option<Vec<i64>>,
    pub values: Option<Vec<f32>>,
}

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

dimensions: Option<Vec<i64>>

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

values: Option<Vec<f32>>

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

Trait Implementations

impl Clone for GoogleCloudAiplatformV1beta1IndexDatapointSparseEmbedding

fn clone(&self) -> GoogleCloudAiplatformV1beta1IndexDatapointSparseEmbedding

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for GoogleCloudAiplatformV1beta1IndexDatapointSparseEmbedding

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

Formats the value using the given formatter.

impl Default for GoogleCloudAiplatformV1beta1IndexDatapointSparseEmbedding

fn default() -> GoogleCloudAiplatformV1beta1IndexDatapointSparseEmbedding

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for GoogleCloudAiplatformV1beta1IndexDatapointSparseEmbedding

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for GoogleCloudAiplatformV1beta1IndexDatapointSparseEmbedding

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 GoogleCloudAiplatformV1beta1IndexDatapointSparseEmbedding