Google AutoML v1 API - Class BatchPredictRequest (3.4.0) 

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

Reference documentation and code samples for the Google AutoML v1 API class BatchPredictRequest.

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

Inheritance

object > BatchPredictRequest

Namespace

Google.Cloud.AutoML.V1

Assembly

Google.Cloud.AutoML.V1.dll

Constructors

BatchPredictRequest()

public BatchPredictRequest()

BatchPredictRequest(BatchPredictRequest)

public BatchPredictRequest(BatchPredictRequest other)
Parameter
Name Description
other BatchPredictRequest

Properties

InputConfig

public BatchPredictInputConfig InputConfig { get; set; }

Required. The input configuration for batch prediction.

Property Value
Type Description
BatchPredictInputConfig

ModelName

public ModelName ModelName { get; set; }

ModelName-typed view over the Name resource name property.

Property Value
Type Description
ModelName

Name

public string Name { get; set; }

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

Property Value
Type Description
string

OutputConfig

public BatchPredictOutputConfig OutputConfig { get; set; }

Required. The Configuration specifying where output predictions should be written.

Property Value
Type Description
BatchPredictOutputConfig

Params

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

Additional domain-specific parameters for the predictions, any string must be up to 25000 characters long.

AutoML Natural Language Classification

score_threshold : (float) A value from 0.0 to 1.0. When the model makes predictions for a text snippet, it will only produce results that have at least this confidence score. The default is 0.5.

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 per image. The default is 100, the number of bounding boxes returned might be limited by the server. AutoML Video Intelligence Classification

score_threshold : (float) A value from 0.0 to 1.0. When the model makes predictions for a video, it will only produce results that have at least this confidence score. The default is 0.5.

segment_classification : (boolean) Set to true to request segment-level classification. AutoML Video Intelligence returns labels and their confidence scores for the entire segment of the video that user specified in the request configuration. The default is true.

shot_classification : (boolean) Set to true to request shot-level classification. AutoML Video Intelligence determines the boundaries for each camera shot in the entire segment of the video that user specified in the request configuration. AutoML Video Intelligence then returns labels and their confidence scores for each detected shot, along with the start and end time of the shot. The default is false.

WARNING: Model evaluation is not done for this classification type, the quality of it depends on training data, but there are no metrics provided to describe that quality.

1s_interval_classification : (boolean) Set to true to request classification for a video at one-second intervals. AutoML Video Intelligence returns labels and their confidence scores for each second of the entire segment of the video that user specified in the request configuration. The default is false.

WARNING: Model evaluation is not done for this classification type, the quality of it depends on training data, but there are no metrics provided to describe that quality.

AutoML Video Intelligence Object Tracking

score_threshold : (float) When Model detects objects on video frames, 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 per image. The default is 100, the number of bounding boxes returned might be limited by the server.

min_bounding_box_size : (float) Only bounding boxes with shortest edge at least that long as a relative value of video frame size are returned. Value in 0 to 1 range. Default is 0.

Property Value
Type Description
MapFieldstringstring