ExplanationMetadata_InputMetadata_Encoding class final

Defines how a feature is encoded. Defaults to IDENTITY.

Inheritance
  • Object
  • ProtoEnum
  • ExplanationMetadata_InputMetadata_Encoding

Properties

hashCode → int
The hash code for this object.
no setterinherited
isNotDefault → bool
no setter
runtimeType → Type
A representation of the runtime type of the object.
no setterinherited
value → String
finalinherited

Methods

noSuchMethod(Invocation invocation) → dynamic
Invoked when a nonexistent method or property is accessed.
inherited
toJson() → String
inherited
toString() → String
A string representation of this object.
override

Operators

operator ==(Object other) → bool
The equality operator.
inherited

Constants

$default → const ExplanationMetadata_InputMetadata_Encoding
The default value for ExplanationMetadata_InputMetadata_Encoding.
bagOfFeatures → const ExplanationMetadata_InputMetadata_Encoding
The tensor represents a bag of features where each index maps to a feature. InputMetadata.index_feature_mapping must be provided for this encoding. For example:
bagOfFeaturesSparse → const ExplanationMetadata_InputMetadata_Encoding
The tensor represents a bag of features where each index maps to a feature. Zero values in the tensor indicates feature being non-existent. InputMetadata.index_feature_mapping must be provided for this encoding. For example:
combinedEmbedding → const ExplanationMetadata_InputMetadata_Encoding
The tensor is encoded into a 1-dimensional array represented by an encoded tensor. InputMetadata.encoded_tensor_name must be provided for this encoding. For example:
concatEmbedding → const ExplanationMetadata_InputMetadata_Encoding
Select this encoding when the input tensor is encoded into a 2-dimensional array represented by an encoded tensor. InputMetadata.encoded_tensor_name must be provided for this encoding. The first dimension of the encoded tensor's shape is the same as the input tensor's shape. For example:
encodingUnspecified → const ExplanationMetadata_InputMetadata_Encoding
Default value. This is the same as IDENTITY.
identity → const ExplanationMetadata_InputMetadata_Encoding
The tensor represents one feature.
indicator → const ExplanationMetadata_InputMetadata_Encoding
The tensor is a list of binaries representing whether a feature exists or not (1 indicates existence). InputMetadata.index_feature_mapping must be provided for this encoding. For example: