public sealed class ExplanationMetadata.Types.InputMetadata.Types.Visualization : IMessage<ExplanationMetadata.Types.InputMetadata.Types.Visualization>, IEquatable<ExplanationMetadata.Types.InputMetadata.Types.Visualization>, IDeepCloneable<ExplanationMetadata.Types.InputMetadata.Types.Visualization>, IBufferMessage, IMessageReference documentation and code samples for the Cloud AI Platform v1beta1 API class ExplanationMetadata.Types.InputMetadata.Types.Visualization.
Visualization configurations for image explanation.
Implements
IMessageExplanationMetadataTypesInputMetadataTypesVisualization, IEquatableExplanationMetadataTypesInputMetadataTypesVisualization, IDeepCloneableExplanationMetadataTypesInputMetadataTypesVisualization, IBufferMessage, IMessageNamespace
Google.Cloud.AIPlatform.V1Beta1Assembly
Google.Cloud.AIPlatform.V1Beta1.dll
Constructors
Visualization()
public Visualization()Visualization(Visualization)
public Visualization(ExplanationMetadata.Types.InputMetadata.Types.Visualization other)| Parameter | |
|---|---|
| Name | Description |
other |
ExplanationMetadataTypesInputMetadataTypesVisualization |
Properties
ClipPercentLowerbound
public float ClipPercentLowerbound { get; set; }Excludes attributions below the specified percentile, from the highlighted areas. Defaults to 62.
| Property Value | |
|---|---|
| Type | Description |
float |
|
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 |
float |
|
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.v1beta1.ExplanationParameters.integrated_gradients_attribution], which shows positive attributions in green and negative in pink.
Defaults to VIRIDIS for [XRAI attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution], which highlights the most influential regions in yellow and the least influential in blue.
| Property Value | |
|---|---|
| Type | Description |
ExplanationMetadataTypesInputMetadataTypesVisualizationTypesColorMap |
|
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 |
ExplanationMetadataTypesInputMetadataTypesVisualizationTypesOverlayType |
|
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 |
ExplanationMetadataTypesInputMetadataTypesVisualizationTypesPolarity |
|
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.v1beta1.ExplanationParameters.integrated_gradients_attribution]. OUTLINES shows regions of attribution, while PIXELS shows per-pixel attribution. Defaults to OUTLINES.
| Property Value | |
|---|---|
| Type | Description |
ExplanationMetadataTypesInputMetadataTypesVisualizationTypesType |
|