Reference documentation and code samples for the Cloud AutoML V1 Client class PredictRequest.
Request message for PredictionService.Predict .
Generated from protobuf message google.cloud.automl.v1.PredictRequest
Namespace
Google \ Cloud \ AutoMl \ V1Methods
__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\V1\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. AutoML Vision 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. AutoML Vision 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) The maximum number of bounding boxes returned. The default is 100. The number of returned bounding boxes might be limited by the server. AutoML Tables feature_importance
: (boolean) Whether feature_importance
is populated in the returned list of TablesAnnotation
objects. 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.
AutoML Vision 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.
AutoML Vision 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) The maximum number of bounding
boxes returned. The default is 100. The
number of returned bounding boxes might be limited by the server.
AutoML Tables feature_importance
: (boolean) Whether feature_importance
is populated in the returned list of TablesAnnotation
objects. The default is false.
setParams
Additional domain-specific parameters, any string must be up to 25000 characters long.
AutoML Vision 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.
AutoML Vision 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) The maximum number of bounding
boxes returned. The default is 100. The
number of returned bounding boxes might be limited by the server.
AutoML Tables feature_importance
: (boolean) Whether feature_importance
is populated in the returned list of TablesAnnotation
objects. The default is false.
$this
static::build
name
string
Required. Name of the model requested to serve the prediction. Please see Google\Cloud\AutoMl\V1\PredictionServiceClient::modelName() for help formatting this field.
payload
Google\Cloud\AutoMl\V1\ExamplePayload
Required. Payload to perform a prediction on. The payload must match the problem type that the model was trained to solve.
params
array
Additional domain-specific parameters, any string must be up to 25000 characters long.
AutoML Vision 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.
AutoML Vision 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) The maximum number of bounding
boxes returned. The default is 100. The
number of returned bounding boxes might be limited by the server.
AutoML Tables
feature_importance
: (boolean) Whether feature_importance
is populated in the returned list of TablesAnnotation
objects. The default is false.
