Class GoogleCloudAiplatformV1beta1ExplanationMetadataInputMetadata

Metadata of the input of a feature. Fields other than InputMetadata.input_baselines are applicable only for Models that are using Vertex AI-provided images for Tensorflow.

Inheritance
object
GoogleCloudAiplatformV1beta1ExplanationMetadataInputMetadata
Implements
Inherited Members
Namespace: Google.Apis.Aiplatform.v1beta1.Data
Assembly: Google.Apis.Aiplatform.v1beta1.dll
Syntax
public class GoogleCloudAiplatformV1beta1ExplanationMetadataInputMetadata : IDirectResponseSchema

Properties

DenseShapeTensorName

Specifies the shape of the values of the input if the input is a sparse representation. Refer to Tensorflow documentation for more details: https://www.tensorflow.org/api_docs/python/tf/sparse/SparseTensor.

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

ETag

The ETag of the item.

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

EncodedBaselines

A list of baselines for the encoded tensor. The shape of each baseline should match the shape of the encoded tensor. If a scalar is provided, Vertex AI broadcasts to the same shape as the encoded tensor.

Declaration
[JsonProperty("encodedBaselines")]
public virtual IList<object> EncodedBaselines { get; set; }
Property Value
Type Description
IList<object>

EncodedTensorName

Encoded tensor is a transformation of the input tensor. Must be provided if choosing Integrated Gradients attribution or XRAI attribution and the input tensor is not differentiable. An encoded tensor is generated if the input tensor is encoded by a lookup table.

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

Encoding

Defines how the feature is encoded into the input tensor. Defaults to IDENTITY.

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

FeatureValueDomain

The domain details of the input feature value. Like min/max, original mean or standard deviation if normalized.

Declaration
[JsonProperty("featureValueDomain")]
public virtual GoogleCloudAiplatformV1beta1ExplanationMetadataInputMetadataFeatureValueDomain FeatureValueDomain { get; set; }
Property Value
Type Description
GoogleCloudAiplatformV1beta1ExplanationMetadataInputMetadataFeatureValueDomain

GroupName

Name of the group that the input belongs to. Features with the same group name will be treated as one feature when computing attributions. Features grouped together can have different shapes in value. If provided, there will be one single attribution generated in Attribution.feature_attributions, keyed by the group name.

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

IndexFeatureMapping

A list of feature names for each index in the input tensor. Required when the input InputMetadata.encoding is BAG_OF_FEATURES, BAG_OF_FEATURES_SPARSE, INDICATOR.

Declaration
[JsonProperty("indexFeatureMapping")]
public virtual IList<string> IndexFeatureMapping { get; set; }
Property Value
Type Description
IList<string>

IndicesTensorName

Specifies the index of the values of the input tensor. Required when the input tensor is a sparse representation. Refer to Tensorflow documentation for more details: https://www.tensorflow.org/api_docs/python/tf/sparse/SparseTensor.

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

InputBaselines

Baseline inputs for this feature. If no baseline is specified, Vertex AI chooses the baseline for this feature. If multiple baselines are specified, Vertex AI returns the average attributions across them in Attribution.feature_attributions. For Vertex AI-provided Tensorflow images (both 1.x and 2.x), the shape of each baseline must match the shape of the input tensor. If a scalar is provided, we broadcast to the same shape as the input tensor. For custom images, the element of the baselines must be in the same format as the feature's input in the instance[]. The schema of any single instance may be specified via Endpoint's DeployedModels' Model's PredictSchemata's instance_schema_uri.

Declaration
[JsonProperty("inputBaselines")]
public virtual IList<object> InputBaselines { get; set; }
Property Value
Type Description
IList<object>

InputTensorName

Name of the input tensor for this feature. Required and is only applicable to Vertex AI-provided images for Tensorflow.

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

Modality

Modality of the feature. Valid values are: numeric, image. Defaults to numeric.

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

Visualization

Visualization configurations for image explanation.

Declaration
[JsonProperty("visualization")]
public virtual GoogleCloudAiplatformV1beta1ExplanationMetadataInputMetadataVisualization Visualization { get; set; }
Property Value
Type Description
GoogleCloudAiplatformV1beta1ExplanationMetadataInputMetadataVisualization

Implements