Struct google_api_proto::google::cloud::documentai::v1beta3::evaluation::MultiConfidenceMetrics

pub struct MultiConfidenceMetrics {
    pub confidence_level_metrics: Vec<ConfidenceLevelMetrics>,
    pub confidence_level_metrics_exact: Vec<ConfidenceLevelMetrics>,
    pub auprc: f32,
    pub estimated_calibration_error: f32,
    pub auprc_exact: f32,
    pub estimated_calibration_error_exact: f32,
    pub metrics_type: i32,
}

Metrics across multiple confidence levels.

Fields

confidence_level_metrics: Vec<ConfidenceLevelMetrics>

Metrics across confidence levels with fuzzy matching enabled.

confidence_level_metrics_exact: Vec<ConfidenceLevelMetrics>

Metrics across confidence levels with only exact matching.

auprc: f32

The calculated area under the precision recall curve (AUPRC), computed by integrating over all confidence thresholds.

estimated_calibration_error: f32

The Estimated Calibration Error (ECE) of the confidence of the predicted entities.

auprc_exact: f32

The AUPRC for metrics with fuzzy matching disabled, i.e., exact matching only.

estimated_calibration_error_exact: f32

The ECE for the predicted entities with fuzzy matching disabled, i.e., exact matching only.

metrics_type: i32

The metrics type for the label.

Implementations

impl MultiConfidenceMetrics

pub fn metrics_type(&self) -> MetricsType

Returns the enum value of metrics_type, or the default if the field is set to an invalid enum value.

pub fn set_metrics_type(&mut self, value: MetricsType)

Sets metrics_type to the provided enum value.

Trait Implementations

impl Clone for MultiConfidenceMetrics

fn clone(&self) -> MultiConfidenceMetrics

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for MultiConfidenceMetrics

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

Formats the value using the given formatter.

impl Default for MultiConfidenceMetrics

fn default() -> Self

Returns the “default value” for a type.

impl Message for MultiConfidenceMetrics

fn encoded_len(&self) -> usize

Returns the encoded length of the message without a length delimiter.

fn clear(&mut self)

Clears the message, resetting all fields to their default.

fn encode(&self, buf: &mut impl BufMut) -> Result<(), EncodeError>

where Self: Sized,

Encodes the message to a buffer.

fn encode_to_vec(&self) -> Vec<u8>

where Self: Sized,

Encodes the message to a newly allocated buffer.

fn encode_length_delimited( &self, buf: &mut impl BufMut, ) -> Result<(), EncodeError>

where Self: Sized,

Encodes the message with a length-delimiter to a buffer.

fn encode_length_delimited_to_vec(&self) -> Vec<u8>

where Self: Sized,

Encodes the message with a length-delimiter to a newly allocated buffer.

fn decode(buf: impl Buf) -> Result<Self, DecodeError>

where Self: Default,

Decodes an instance of the message from a buffer.

fn decode_length_delimited(buf: impl Buf) -> Result<Self, DecodeError>

where Self: Default,

Decodes a length-delimited instance of the message from the buffer.

fn merge(&mut self, buf: impl Buf) -> Result<(), DecodeError>

where Self: Sized,

Decodes an instance of the message from a buffer, and merges it into self.

fn merge_length_delimited(&mut self, buf: impl Buf) -> Result<(), DecodeError>

where Self: Sized,

Decodes a length-delimited instance of the message from buffer, and merges it into self.

impl PartialEq for MultiConfidenceMetrics

fn eq(&self, other: &MultiConfidenceMetrics) -> bool

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

This method tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for MultiConfidenceMetrics