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Reference documentation and code samples for the Vertex AI V1 API class Google::Cloud::AIPlatform::V1::IndexDatapoint::SparseEmbedding.
Feature embedding vector for sparse index. An array of numbers whose values are located in the specified dimensions.
Inherits
- Object
Extended By
- Google::Protobuf::MessageExts::ClassMethods
Includes
- Google::Protobuf::MessageExts
Methods
#dimensions
def dimensions() -> ::Array<::Integer>
Returns
- (::Array<::Integer>) — Required. The list of indexes for the embedding values of the sparse vector.
#dimensions=
def dimensions=(value) -> ::Array<::Integer>
Parameter
- value (::Array<::Integer>) — Required. The list of indexes for the embedding values of the sparse vector.
Returns
- (::Array<::Integer>) — Required. The list of indexes for the embedding values of the sparse vector.
#values
def values() -> ::Array<::Float>
Returns
- (::Array<::Float>) — Required. The list of embedding values of the sparse vector.
#values=
def values=(value) -> ::Array<::Float>
Parameter
- value (::Array<::Float>) — Required. The list of embedding values of the sparse vector.
Returns
- (::Array<::Float>) — Required. The list of embedding values of the sparse vector.