Discovery Engine v1beta API - Class TrainCustomModelResponse (1.0.0-beta18)

Version latest

• 1.0.0-beta18 (latest)
• 1.0.0-beta17

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

Reference documentation and code samples for the Discovery Engine v1beta API class TrainCustomModelResponse.

Response of the [TrainCustomModelRequest][google.cloud.discoveryengine.v1beta.TrainCustomModelRequest]. This message is returned by the google.longrunning.Operations.response field.

Inheritance

object > TrainCustomModelResponse

Implements

IMessageTrainCustomModelResponse, IEquatableTrainCustomModelResponse, IDeepCloneableTrainCustomModelResponse, IBufferMessage, IMessage

Inherited Members

object.GetHashCode()

object.GetType()

object.ToString()

Namespace

Google.Cloud.DiscoveryEngine.V1Beta

Assembly

Google.Cloud.DiscoveryEngine.V1Beta.dll

Constructors

TrainCustomModelResponse()

public TrainCustomModelResponse()

TrainCustomModelResponse(TrainCustomModelResponse)

public TrainCustomModelResponse(TrainCustomModelResponse other)

Parameter
Name	Description
other	TrainCustomModelResponse

Properties

ErrorConfig

public ImportErrorConfig ErrorConfig { get; set; }

Echoes the destination for the complete errors in the request if set.

Property Value
Type	Description
ImportErrorConfig

ErrorSamples

public RepeatedField<Status> ErrorSamples { get; }

A sample of errors encountered while processing the data.

Property Value
Type	Description
RepeatedFieldStatus

Metrics

public MapField<string, double> Metrics { get; }

The metrics of the trained model.

Property Value
Type	Description
MapFieldstringdouble

ModelName

public string ModelName { get; set; }

Fully qualified name of the CustomTuningModel.

Property Value
Type	Description
string

ModelStatus

public string ModelStatus { get; set; }

The trained model status. Possible values are:

• bad-data: The training data quality is bad.
• no-improvement: Tuning didn't improve performance. Won't deploy.
• in-progress: Model training job creation is in progress.
• training: Model is actively training.
• evaluating: The model is evaluating trained metrics.
• indexing: The model trained metrics are indexing.
• ready: The model is ready for serving.

Property Value
Type	Description
string