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 \ IndexDatapointMethods
__construct
Constructor.
| Parameters | |
|---|---|
| Name | Description |
data |
array
Optional. Data for populating the Message object. |
↳ values |
float[]
Required. The list of embedding values of the sparse vector. |
↳ dimensions |
int[]|string[]
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\RepeatedField<float> |
|
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\RepeatedField<int>|Google\Protobuf\RepeatedField<string> |
|
setDimensions
Required. The list of indexes for the embedding values of the sparse vector.
| Parameter | |
|---|---|
| Name | Description |
var |
int[]|string[]
|
| Returns | |
|---|---|
| Type | Description |
$this |
|