public sealed class PredictRequest : IMessage<PredictRequest>, IEquatable<PredictRequest>, IDeepCloneable<PredictRequest>, IBufferMessage, IMessage
Request message for [PredictionService.Predict][google.cloud.automl.v1.PredictionService.Predict].
Implements
IMessage<PredictRequest>, IEquatable<PredictRequest>, IDeepCloneable<PredictRequest>, IBufferMessage, IMessageNamespace
Google.Cloud.AutoML.V1Assembly
Google.Cloud.AutoML.V1.dll
Constructors
PredictRequest()
public PredictRequest()
PredictRequest(PredictRequest)
public PredictRequest(PredictRequest other)
Parameter | |
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Name | Description |
other | PredictRequest |
Properties
ModelName
public ModelName ModelName { get; set; }
Property Value | |
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Type | Description |
ModelName |
Name
public string Name { get; set; }
Required. Name of the model requested to serve the prediction.
Property Value | |
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Type | Description |
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 | |
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Type | Description |
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 | |
---|---|
Type | Description |
ExamplePayload |