ReneEmbedding

GoogleApi.ContentWarehouse.V1.Model.ReneEmbedding


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Description

Message to represent an embedding vector with clusters.

Attributes List

This module has the following attributes (case-insensitive ascending order):

View Attributes

Attributes

  1. clusterList (type: GoogleApi.ContentWarehouse.V1.Model.ReneEmbeddingClusterList, default: nil)
    - Token information of the embedding vector if available.
  2. compressedValue (type: String.t, default: nil)
    - Compressed value of the embedding. For example, different versions of starburst signals use different compressor to generate the value.
  3. denseFeatureFloatValues (type: list(number()), default: nil)
    - Optional feature map output from the model. Note: this is not applicable to some models.
  4. floatValues (type: list(number()), default: nil)
    - Values of the embedding vector.
  5. floatValuesBeforeProjection (type: list(number()), default: nil)
    - Optional embedding vector prior to projection. Note: this is not applicable to some models.

Type

@type t() :: %GoogleApi.ContentWarehouse.V1.Model.ReneEmbedding{
clusterList: GoogleApi.ContentWarehouse.V1.Model.ReneEmbeddingClusterList.t() | nil,
compressedValue: String.t() | nil,
denseFeatureFloatValues: [number()] | nil,
floatValues: [number()] | nil,
floatValuesBeforeProjection: [number()] | nil
}

Function

@spec decode(struct(), keyword()) :: struct()

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