ExplanationMetadata class final
Metadata describing the Model's input and output for explanation.
Constructors
-
ExplanationMetadata({required Map<
String, ExplanationMetadata_InputMetadata> inputs, required Map<String, ExplanationMetadata_OutputMetadata> outputs, String featureAttributionsSchemaUri = '', String latentSpaceSource = ''}) - ExplanationMetadata.fromJson(Object? j)
-
factory
Properties
- featureAttributionsSchemaUri → String
-
Points to a YAML file stored on Google Cloud Storage describing the format
of the
google.cloud.aiplatform.v1beta1.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.final - hashCode → int
-
The hash code for this object.
no setterinherited
-
inputs
→ Map<
String, ExplanationMetadata_InputMetadata> -
Required. Map from feature names to feature input metadata. Keys are the
name of the features. Values are the specification of the feature.
final
- latentSpaceSource → String
-
Name of the source to generate embeddings for example based explanations.
final
-
outputs
→ Map<
String, ExplanationMetadata_OutputMetadata> -
Required. Map from output names to output metadata.
final
- qualifiedName → String
-
The fully qualified name of this message, i.e.,
google.protobuf.Durationorgoogle.rpc.ErrorInfo.finalinherited - runtimeType → Type
-
A representation of the runtime type of the object.
no setterinherited
Methods
-
noSuchMethod(
Invocation invocation) → dynamic -
Invoked when a nonexistent method or property is accessed.
inherited
-
toJson(
) → Object -
toString(
) → String -
A string representation of this object.
override
Operators
-
operator ==(
Object other) → bool -
The equality operator.
inherited
Constants
- fullyQualifiedName → const String