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public sealed class ExplanationMetadata : IMessage<ExplanationMetadata>, IEquatable<ExplanationMetadata>, IDeepCloneable<ExplanationMetadata>, IBufferMessage, IMessage
Metadata describing the Model's input and output for explanation.
Implements
IMessage<ExplanationMetadata>, IEquatable<ExplanationMetadata>, IDeepCloneable<ExplanationMetadata>, IBufferMessage, IMessageNamespace
Google.Cloud.AIPlatform.V1Assembly
Google.Cloud.AIPlatform.V1.dll
Constructors
ExplanationMetadata()
public ExplanationMetadata()
ExplanationMetadata(ExplanationMetadata)
public ExplanationMetadata(ExplanationMetadata other)
Parameter | |
---|---|
Name | Description |
other | ExplanationMetadata |
Properties
FeatureAttributionsSchemaUri
public string FeatureAttributionsSchemaUri { get; set; }
Points to a YAML file stored on Google Cloud Storage describing the format of the [feature attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions]. The schema is defined as an OpenAPI 3.0.2 Schema Object. AutoML tabular Models always have this field populated by Vertex AI. Note: The URI given on output may be different, including the URI scheme, than the one given on input. The output URI will point to a location where the user only has a read access.
Property Value | |
---|---|
Type | Description |
String |
Inputs
public MapField<string, ExplanationMetadata.Types.InputMetadata> Inputs { get; }
Required. Map from feature names to feature input metadata. Keys are the name of the features. Values are the specification of the feature.
An empty InputMetadata is valid. It describes a text feature which has the name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs]. The baseline of the empty feature is chosen by Vertex AI.
For Vertex AI-provided Tensorflow images, the key can be any friendly name of the feature. Once specified, [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions] are keyed by this key (if not grouped with another feature).
For custom images, the key must match with the key in [instance][google.cloud.aiplatform.v1.ExplainRequest.instances].
Property Value | |
---|---|
Type | Description |
MapField<String, ExplanationMetadata.Types.InputMetadata> |
Outputs
public MapField<string, ExplanationMetadata.Types.OutputMetadata> Outputs { get; }
Required. Map from output names to output metadata.
For Vertex AI-provided Tensorflow images, keys can be any user defined string that consists of any UTF-8 characters.
For custom images, keys are the name of the output field in the prediction to be explained.
Currently only one key is allowed.
Property Value | |
---|---|
Type | Description |
MapField<String, ExplanationMetadata.Types.OutputMetadata> |