Reference documentation and code samples for the Google Cloud Ai Platform V1 Client class OutputMetadata.
Metadata of the prediction output to be explained.
Generated from protobuf message google.cloud.aiplatform.v1.ExplanationMetadata.OutputMetadata
Methods
__construct
Constructor.
| Parameters | |
|---|---|
| Name | Description |
data |
array
Optional. Data for populating the Message object. |
↳ index_display_name_mapping |
Google\Protobuf\Value
Static mapping between the index and display name. Use this if the outputs are a deterministic n-dimensional array, e.g. a list of scores of all the classes in a pre-defined order for a multi-classification Model. It's not feasible if the outputs are non-deterministic, e.g. the Model produces top-k classes or sort the outputs by their values. The shape of the value must be an n-dimensional array of strings. The number of dimensions must match that of the outputs to be explained. The Attribution.output_display_name is populated by locating in the mapping with Attribution.output_index. |
↳ display_name_mapping_key |
string
Specify a field name in the prediction to look for the display name. Use this if the prediction contains the display names for the outputs. The display names in the prediction must have the same shape of the outputs, so that it can be located by Attribution.output_index for a specific output. |
↳ output_tensor_name |
string
Name of the output tensor. Required and is only applicable to Vertex AI provided images for Tensorflow. |
getIndexDisplayNameMapping
Static mapping between the index and display name.
Use this if the outputs are a deterministic n-dimensional array, e.g. a list of scores of all the classes in a pre-defined order for a multi-classification Model. It's not feasible if the outputs are non-deterministic, e.g. the Model produces top-k classes or sort the outputs by their values. The shape of the value must be an n-dimensional array of strings. The number of dimensions must match that of the outputs to be explained. The Attribution.output_display_name is populated by locating in the mapping with Attribution.output_index.
Generated from protobuf field .google.protobuf.Value index_display_name_mapping = 1;
| Returns | |
|---|---|
| Type | Description |
Google\Protobuf\Value|null | |
hasIndexDisplayNameMapping
setIndexDisplayNameMapping
Static mapping between the index and display name.
Use this if the outputs are a deterministic n-dimensional array, e.g. a list of scores of all the classes in a pre-defined order for a multi-classification Model. It's not feasible if the outputs are non-deterministic, e.g. the Model produces top-k classes or sort the outputs by their values. The shape of the value must be an n-dimensional array of strings. The number of dimensions must match that of the outputs to be explained. The Attribution.output_display_name is populated by locating in the mapping with Attribution.output_index.
Generated from protobuf field .google.protobuf.Value index_display_name_mapping = 1;
| Parameter | |
|---|---|
| Name | Description |
var |
Google\Protobuf\Value
|
| Returns | |
|---|---|
| Type | Description |
$this | |
getDisplayNameMappingKey
Specify a field name in the prediction to look for the display name.
Use this if the prediction contains the display names for the outputs. The display names in the prediction must have the same shape of the outputs, so that it can be located by Attribution.output_index for a specific output.
Generated from protobuf field string display_name_mapping_key = 2;
| Returns | |
|---|---|
| Type | Description |
string | |
hasDisplayNameMappingKey
setDisplayNameMappingKey
Specify a field name in the prediction to look for the display name.
Use this if the prediction contains the display names for the outputs. The display names in the prediction must have the same shape of the outputs, so that it can be located by Attribution.output_index for a specific output.
Generated from protobuf field string display_name_mapping_key = 2;
| Parameter | |
|---|---|
| Name | Description |
var |
string
|
| Returns | |
|---|---|
| Type | Description |
$this | |
getOutputTensorName
Name of the output tensor. Required and is only applicable to Vertex AI provided images for Tensorflow.
Generated from protobuf field string output_tensor_name = 3;
| Returns | |
|---|---|
| Type | Description |
string | |
setOutputTensorName
Name of the output tensor. Required and is only applicable to Vertex AI provided images for Tensorflow.
Generated from protobuf field string output_tensor_name = 3;
| Parameter | |
|---|---|
| Name | Description |
var |
string
|
| Returns | |
|---|---|
| Type | Description |
$this | |
getDisplayNameMapping
| Returns | |
|---|---|
| Type | Description |
string | |