Struct GoogleCloudAiplatformV1beta1ExplanationMetadataInputMetadataVisualization 

pub struct GoogleCloudAiplatformV1beta1ExplanationMetadataInputMetadataVisualization {
    pub polarity: Option<String>,
    pub color_map: Option<String>,
    pub clip_percent_lowerbound: Option<f32>,
    pub type_: Option<String>,
    pub overlay_type: Option<String>,
    pub clip_percent_upperbound: Option<f32>,
}

Visualization configurations for image explanation.

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

Fields

polarity: Option<String>

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

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_lowerbound: Option<f32>

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

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_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.

Trait Implementations

impl Clone for GoogleCloudAiplatformV1beta1ExplanationMetadataInputMetadataVisualization

fn clone( &self, ) -> GoogleCloudAiplatformV1beta1ExplanationMetadataInputMetadataVisualization

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for GoogleCloudAiplatformV1beta1ExplanationMetadataInputMetadataVisualization

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

Formats the value using the given formatter.

impl Default for GoogleCloudAiplatformV1beta1ExplanationMetadataInputMetadataVisualization

fn default() -> GoogleCloudAiplatformV1beta1ExplanationMetadataInputMetadataVisualization

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for GoogleCloudAiplatformV1beta1ExplanationMetadataInputMetadataVisualization

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for GoogleCloudAiplatformV1beta1ExplanationMetadataInputMetadataVisualization

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 GoogleCloudAiplatformV1beta1ExplanationMetadataInputMetadataVisualization