Reference documentation and code samples for the Cloud AutoML V1beta1 Client class PredictRequest.
Request message for PredictionService.Predict.
Generated from protobuf message google.cloud.automl.v1beta1.PredictRequest
Namespace
Google \ Cloud \ AutoMl \ V1beta1Methods
__construct
Constructor.
| Parameters | |
|---|---|
| Name | Description |
data |
array
Optional. Data for populating the Message object. |
↳ name |
string
Required. Name of the model requested to serve the prediction. |
↳ payload |
Google\Cloud\AutoMl\V1beta1\ExamplePayload
Required. Payload to perform a prediction on. The payload must match the problem type that the model was trained to solve. |
↳ params |
array|Google\Protobuf\Internal\MapField
Additional domain-specific parameters, any string must be up to 25000 characters long. * For Image Classification: |
getName
Required. Name of the model requested to serve the prediction.
| Returns | |
|---|---|
| Type | Description |
string |
|
setName
Required. Name of the model requested to serve the prediction.
| Parameter | |
|---|---|
| Name | Description |
var |
string
|
| Returns | |
|---|---|
| Type | Description |
$this |
|
getPayload
Required. Payload to perform a prediction on. The payload must match the problem type that the model was trained to solve.
| Returns | |
|---|---|
| Type | Description |
Google\Cloud\AutoMl\V1beta1\ExamplePayload|null |
|
hasPayload
clearPayload
setPayload
Required. Payload to perform a prediction on. The payload must match the problem type that the model was trained to solve.
| Parameter | |
|---|---|
| Name | Description |
var |
Google\Cloud\AutoMl\V1beta1\ExamplePayload
|
| Returns | |
|---|---|
| Type | Description |
$this |
|
getParams
Additional domain-specific parameters, any string must be up to 25000 characters long.
- For Image Classification:
score_threshold- (float) A value from 0.0 to 1.0. When the model makes predictions for an image, it will only produce results that have at least this confidence score. The default is 0.5.- For Image Object Detection:
score_threshold- (float) When Model detects objects on the image, it will only produce bounding boxes which have at least this confidence score. Value in 0 to 1 range, default is 0.5.max_bounding_box_count- (int64) No more than this number of bounding boxes will be returned in the response. Default is 100, the requested value may be limited by server.
- For Image Object Detection:
- For Tables: feature_importance - (boolean) Whether feature importance should be populated in the returned TablesAnnotation. The default is false.
| Returns | |
|---|---|
| Type | Description |
Google\Protobuf\Internal\MapField |
|
setParams
Additional domain-specific parameters, any string must be up to 25000 characters long.
- For Image Classification:
score_threshold- (float) A value from 0.0 to 1.0. When the model makes predictions for an image, it will only produce results that have at least this confidence score. The default is 0.5.- For Image Object Detection:
score_threshold- (float) When Model detects objects on the image, it will only produce bounding boxes which have at least this confidence score. Value in 0 to 1 range, default is 0.5.max_bounding_box_count- (int64) No more than this number of bounding boxes will be returned in the response. Default is 100, the requested value may be limited by server.
- For Image Object Detection:
- For Tables: feature_importance - (boolean) Whether feature importance should be populated in the returned TablesAnnotation. The default is false.
| Parameter | |
|---|---|
| Name | Description |
var |
array|Google\Protobuf\Internal\MapField
|
| Returns | |
|---|---|
| Type | Description |
$this |
|