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
Methods
__construct
Constructor.
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: 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 Tables: feature_imp ortan
ce - (boolean) Whether feature importance should be populated in the returned TablesAnnotation. The default is false.
getName
Required. Name of the model requested to serve the prediction.
string
setName
Required. Name of the model requested to serve the prediction.
var
string
$this
getPayload
Required. Payload to perform a prediction on. The payload must match the problem type that the model was trained to solve.
hasPayload
clearPayload
setPayload
Required. Payload to perform a prediction on. The payload must match the problem type that the model was trained to solve.
$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_imp ortan ce - (boolean) Whether feature importance should be populated in the returned TablesAnnotation. The default is false.
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_imp ortan ce - (boolean) Whether feature importance should be populated in the returned TablesAnnotation. The default is false.
$this
