Struct GoogleCloudAiplatformV1ExplanationMetadataInputMetadataVisualization

pub struct GoogleCloudAiplatformV1ExplanationMetadataInputMetadataVisualization {
    pub type_: Option<String>,
    pub overlay_type: Option<String>,
    pub clip_percent_lowerbound: Option<f32>,
    pub color_map: Option<String>,
    pub clip_percent_upperbound: Option<f32>,
    pub polarity: Option<String>,
}

Visualization configurations for image explanation.

This type is not used in any activity, and only used as part of another schema.

Fields

type_: Option<String>

Type of the image visualization. Only applicable to Integrated Gradients attribution. OUTLINES shows regions of attribution, while PIXELS shows per-pixel attribution. Defaults to OUTLINES.

overlay_type: Option<String>

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.

clip_percent_lowerbound: Option<f32>

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

color_map: Option<String>

The color scheme used for the highlighted areas. Defaults to PINK_GREEN for Integrated Gradients attribution, which shows positive attributions in green and negative in pink. Defaults to VIRIDIS for XRAI attribution, which highlights the most influential regions in yellow and the least influential in blue.

clip_percent_upperbound: Option<f32>

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.

polarity: Option<String>

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

Trait Implementations

impl Clone for GoogleCloudAiplatformV1ExplanationMetadataInputMetadataVisualization

fn clone( &self, ) -> GoogleCloudAiplatformV1ExplanationMetadataInputMetadataVisualization

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for GoogleCloudAiplatformV1ExplanationMetadataInputMetadataVisualization

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for GoogleCloudAiplatformV1ExplanationMetadataInputMetadataVisualization

fn default() -> GoogleCloudAiplatformV1ExplanationMetadataInputMetadataVisualization

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for GoogleCloudAiplatformV1ExplanationMetadataInputMetadataVisualization

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for GoogleCloudAiplatformV1ExplanationMetadataInputMetadataVisualization

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl Part for GoogleCloudAiplatformV1ExplanationMetadataInputMetadataVisualization