Cloud AutoML V1 Client - Class PredictRequest (2.0.5)

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 \ V1

Methods

__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 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.

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
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 ExamplePayload
Returns
Type Description
$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.

Returns
Type Description
Google\Protobuf\Internal\MapField

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.

Parameter
Name Description
var array|Google\Protobuf\Internal\MapField
Returns
Type Description
$this

static::build

Parameters
Name Description
name string

Required. Name of the model requested to serve the prediction. Please see PredictionServiceClient::modelName() for help formatting this field.
payload 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.
Returns
Type Description
PredictRequest