Google Cloud Ai Platform V1 Client - Class SparseEmbedding (1.12.0)

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Reference documentation and code samples for the Google Cloud Ai Platform V1 Client class SparseEmbedding.

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

Generated from protobuf message google.cloud.aiplatform.v1.IndexDatapoint.SparseEmbedding

Namespace

Google \ Cloud \ AIPlatform \ V1 \ IndexDatapoint

Methods

__construct

Constructor.

Parameters
Name	Description
data	array Optional. Data for populating the Message object.
↳ values	array Required. The list of embedding values of the sparse vector.
↳ dimensions	array Required. The list of indexes for the embedding values of the sparse vector.

getValues

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

Returns
Type	Description
Google\Protobuf\Internal\RepeatedField

setValues

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

Parameter
Name	Description
var	float[]

Returns
Type	Description
$this

getDimensions

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

Returns
Type	Description
Google\Protobuf\Internal\RepeatedField

setDimensions

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

Parameter
Name	Description
var	int[]|string[]|Google\Protobuf\Internal\RepeatedField

Returns
Type	Description
$this