[][src]Struct gcp_client::google::cloud::automl::v1::BoundingBoxMetricsEntry

pub struct BoundingBoxMetricsEntry {
    pub iou_threshold: f32,
    pub mean_average_precision: f32,
    pub confidence_metrics_entries: Vec<ConfidenceMetricsEntry>,
}

Bounding box matching model metrics for a single intersection-over-union threshold and multiple label match confidence thresholds.

Fields

iou_threshold: f32

Output only. The intersection-over-union threshold value used to compute this metrics entry.

mean_average_precision: f32

Output only. The mean average precision, most often close to au_prc.

confidence_metrics_entries: Vec<ConfidenceMetricsEntry>

Output only. Metrics for each label-match confidence_threshold from 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is derived from them.

Trait Implementations

impl Clone for BoundingBoxMetricsEntry[src]

impl Debug for BoundingBoxMetricsEntry[src]

impl Default for BoundingBoxMetricsEntry[src]

impl Message for BoundingBoxMetricsEntry[src]

impl PartialEq<BoundingBoxMetricsEntry> for BoundingBoxMetricsEntry[src]

impl StructuralPartialEq for BoundingBoxMetricsEntry[src]

Auto Trait Implementations

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impl<T> From<T> for T[src]

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    T: Clone
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type Owned = T

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impl<T, U> TryFrom<U> for T where
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type Error = Infallible

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type Error = <U as TryFrom<T>>::Error

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