Class GoogleCloudAiplatformV1beta1ExplanationMetadata

Metadata describing the Model's input and output for explanation.

Inheritance
object
GoogleCloudAiplatformV1beta1ExplanationMetadata
Implements
Inherited Members
Namespace: Google.Apis.Aiplatform.v1beta1.Data
Assembly: Google.Apis.Aiplatform.v1beta1.dll
Syntax
public class GoogleCloudAiplatformV1beta1ExplanationMetadata : IDirectResponseSchema

Properties

ETag

The ETag of the item.

Declaration
public virtual string ETag { get; set; }
Property Value
Type Description
string

FeatureAttributionsSchemaUri

Points to a YAML file stored on Google Cloud Storage describing the format of the 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.

Declaration
[JsonProperty("featureAttributionsSchemaUri")]
public virtual string FeatureAttributionsSchemaUri { get; set; }
Property Value
Type Description
string

Inputs

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. 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 are keyed by this key (if not grouped with another feature). For custom images, the key must match with the key in instance.

Declaration
[JsonProperty("inputs")]
public virtual IDictionary<string, GoogleCloudAiplatformV1beta1ExplanationMetadataInputMetadata> Inputs { get; set; }
Property Value
Type Description
IDictionary<string, GoogleCloudAiplatformV1beta1ExplanationMetadataInputMetadata>

LatentSpaceSource

Name of the source to generate embeddings for example based explanations.

Declaration
[JsonProperty("latentSpaceSource")]
public virtual string LatentSpaceSource { get; set; }
Property Value
Type Description
string

Outputs

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.

Declaration
[JsonProperty("outputs")]
public virtual IDictionary<string, GoogleCloudAiplatformV1beta1ExplanationMetadataOutputMetadata> Outputs { get; set; }
Property Value
Type Description
IDictionary<string, GoogleCloudAiplatformV1beta1ExplanationMetadataOutputMetadata>

Implements