Class ExplanationMetadata.Types.InputMetadata.Types.Visualization (1.3.0)

public sealed class Visualization : IMessage<ExplanationMetadata.Types.InputMetadata.Types.Visualization>, IEquatable<ExplanationMetadata.Types.InputMetadata.Types.Visualization>, IDeepCloneable<ExplanationMetadata.Types.InputMetadata.Types.Visualization>, IBufferMessage, IMessage

Visualization configurations for image explanation.

Inheritance

Object > ExplanationMetadata.Types.InputMetadata.Types.Visualization

Implements

IMessage<ExplanationMetadata.Types.InputMetadata.Types.Visualization>, IEquatable<ExplanationMetadata.Types.InputMetadata.Types.Visualization>, IDeepCloneable<ExplanationMetadata.Types.InputMetadata.Types.Visualization>, IBufferMessage, IMessage

Inherited Members

Object.GetHashCode()

Object.GetType()

Object.MemberwiseClone()

Object.ToString()

Namespace

Google.Cloud.AIPlatform.V1

Assembly

Google.Cloud.AIPlatform.V1.dll

Constructors

Visualization()

public Visualization()

Visualization(ExplanationMetadata.Types.InputMetadata.Types.Visualization)

public Visualization(ExplanationMetadata.Types.InputMetadata.Types.Visualization other)

Parameter
Name	Description
`other`	`ExplanationMetadata.Types.InputMetadata.Types.Visualization`

Properties

ClipPercentLowerbound

public float ClipPercentLowerbound { get; set; }

Excludes attributions below the specified percentile, from the highlighted areas. Defaults to 62.

Property Value
Type	Description
`Single`

ClipPercentUpperbound

public float ClipPercentUpperbound { get; set; }

Excludes attributions above the specified percentile from the highlighted areas. Using the clip_percent_upperbound and clip_percent_lowerbound together can be useful for filtering out noise and making it easier to see areas of strong attribution. Defaults to 99.9.

Property Value
Type	Description
`Single`

ColorMap

public ExplanationMetadata.Types.InputMetadata.Types.Visualization.Types.ColorMap ColorMap { get; set; }

The color scheme used for the highlighted areas.

Defaults to PINK_GREEN for [Integrated Gradients attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution], which shows positive attributions in green and negative in pink.

Defaults to VIRIDIS for [XRAI attribution][google.cloud.aiplatform.v1.ExplanationParameters.xrai_attribution], which highlights the most influential regions in yellow and the least influential in blue.

Property Value
Type	Description
`ExplanationMetadata.Types.InputMetadata.Types.Visualization.Types.ColorMap`

OverlayType

public ExplanationMetadata.Types.InputMetadata.Types.Visualization.Types.OverlayType OverlayType { get; set; }

How the original image is displayed in the visualization. Adjusting the overlay can help increase visual clarity if the original image makes it difficult to view the visualization. Defaults to NONE.

Property Value
Type	Description
`ExplanationMetadata.Types.InputMetadata.Types.Visualization.Types.OverlayType`

Polarity

public ExplanationMetadata.Types.InputMetadata.Types.Visualization.Types.Polarity Polarity { get; set; }

Whether to only highlight pixels with positive contributions, negative or both. Defaults to POSITIVE.

Property Value
Type	Description
`ExplanationMetadata.Types.InputMetadata.Types.Visualization.Types.Polarity`

Type

public ExplanationMetadata.Types.InputMetadata.Types.Visualization.Types.Type Type { get; set; }

Type of the image visualization. Only applicable to [Integrated Gradients attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution]. OUTLINES shows regions of attribution, while PIXELS shows per-pixel attribution. Defaults to OUTLINES.

Property Value
Type	Description
`ExplanationMetadata.Types.InputMetadata.Types.Visualization.Types.Type`