Class Explanation (2.0.0)

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

Explanation of a prediction (provided in [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions]) produced by the Model on a given [instance][google.cloud.aiplatform.v1.ExplainRequest.instances].

Inheritance

Object > Explanation

Implements

IMessage<Explanation>, IEquatable<Explanation>, IDeepCloneable<Explanation>, IBufferMessage, IMessage

Inherited Members

Object.GetHashCode()

Object.GetType()

Object.MemberwiseClone()

Object.ToString()

Namespace

Google.Cloud.AIPlatform.V1

Assembly

Google.Cloud.AIPlatform.V1.dll

Constructors

Explanation()

public Explanation()

Explanation(Explanation)

public Explanation(Explanation other)

Parameter
Name	Description
`other`	`Explanation`

Properties

Attributions

public RepeatedField<Attribution> Attributions { get; }

Output only. Feature attributions grouped by predicted outputs.

For Models that predict only one output, such as regression Models that predict only one score, there is only one attibution that explains the predicted output. For Models that predict multiple outputs, such as multiclass Models that predict multiple classes, each element explains one specific item. [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] can be used to identify which output this attribution is explaining.

If users set [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k], the attributions are sorted by [instance_output_value][Attributions.instance_output_value] in descending order. If [ExplanationParameters.output_indices][google.cloud.aiplatform.v1.ExplanationParameters.output_indices] is specified, the attributions are stored by [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] in the same order as they appear in the output_indices.

Property Value
Type	Description
`RepeatedField<Attribution>`