Class PredictRequest (3.0.0)

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public sealed class PredictRequest : IMessage<PredictRequest>, IEquatable<PredictRequest>, IDeepCloneable<PredictRequest>, IBufferMessage, IMessage

Request message for [PredictionService.Predict][google.cloud.automl.v1.PredictionService.Predict].

Inheritance

Object > PredictRequest

Namespace

Google.Cloud.AutoML.V1

Assembly

Google.Cloud.AutoML.V1.dll

Constructors

PredictRequest()

public PredictRequest()

PredictRequest(PredictRequest)

public PredictRequest(PredictRequest other)
Parameter
NameDescription
otherPredictRequest

Properties

ModelName

public ModelName ModelName { get; set; }

ModelName-typed view over the Name resource name property.

Property Value
TypeDescription
ModelName

Name

public string Name { get; set; }

Required. Name of the model requested to serve the prediction.

Property Value
TypeDescription
String

Params

public MapField<string, string> Params { get; }

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][google.cloud.automl.v1.TablesModelColumnInfo.feature_importance] is populated in the returned list of [TablesAnnotation][google.cloud.automl.v1.TablesAnnotation] objects. The default is false.

Property Value
TypeDescription
MapField<String, String>

Payload

public ExamplePayload Payload { get; set; }

Required. Payload to perform a prediction on. The payload must match the problem type that the model was trained to solve.

Property Value
TypeDescription
ExamplePayload