ReneEmbedding

ReneInfrastructure

GoogleApi.ContentWarehouse.V1.Model.ReneEmbedding

1
out of 10
Minimal
SEO Impact
Message to represent an embedding vector with clusters.

SEO Analysis

AI Generated

Backend infrastructure with indirect SEO impact. This model (Rene Embedding) contains 5 attributes that define its data structure. Key functionality includes: Token information of the embedding vector if available.

Actionable Insights for SEOs

  • Understanding this model helps SEOs grasp Google's internal data architecture

Attributes

5
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clusterListReneEmbeddingClusterList →
Default: nilFull type: GoogleApi.ContentWarehouse.V1.Model.ReneEmbeddingClusterList.t

Token information of the embedding vector if available.

compressedValuestring
Default: nilFull type: String.t

Compressed value of the embedding. For example, different versions of starburst signals use different compressor to generate the value.

denseFeatureFloatValueslist(number(
Default: nil

Optional feature map output from the model. Note: this is not applicable to some models.

floatValueslist(number(
Default: nil

Values of the embedding vector.

floatValuesBeforeProjectionlist(number(
Default: nil

Optional embedding vector prior to projection. Note: this is not applicable to some models.