Struct google_api_proto::google::cloud::discoveryengine::v1beta::QualityMetrics

pub struct QualityMetrics {
    pub doc_recall: Option<TopkMetrics>,
    pub doc_precision: Option<TopkMetrics>,
    pub doc_ndcg: Option<TopkMetrics>,
    pub page_recall: Option<TopkMetrics>,
    pub page_ndcg: Option<TopkMetrics>,
}

Describes the metrics produced by the evaluation.

Fields

doc_recall: Option<TopkMetrics>

Recall per document, at various top-k cutoff levels.

Recall is the fraction of relevant documents retrieved out of all relevant documents.

Example (top-5):

• For a single [SampleQuery][google.cloud.discoveryengine.v1beta.SampleQuery], If 3 out of 5 relevant documents are retrieved in the top-5, recall@5 = 3/5 = 0.6

doc_precision: Option<TopkMetrics>

Precision per document, at various top-k cutoff levels.

Precision is the fraction of retrieved documents that are relevant.

Example (top-5):

• For a single [SampleQuery][google.cloud.discoveryengine.v1beta.SampleQuery], If 4 out of 5 retrieved documents in the top-5 are relevant, precision@5 = 4/5 = 0.8

doc_ndcg: Option<TopkMetrics>

Normalized discounted cumulative gain (NDCG) per document, at various top-k cutoff levels.

NDCG measures the ranking quality, giving higher relevance to top results.

Example (top-3): Suppose [SampleQuery][google.cloud.discoveryengine.v1beta.SampleQuery] with three retrieved documents (D1, D2, D3) and binary relevance judgements (1 for relevant, 0 for not relevant):

Retrieved: [D3 (0), D1 (1), D2 (1)] Ideal: [D1 (1), D2 (1), D3 (0)]

Calculate NDCG@3 for each [SampleQuery][google.cloud.discoveryengine.v1beta.SampleQuery]: * DCG@3: 0/log2(1+1) + 1/log2(2+1) + 1/log2(3+1) = 1.13 * Ideal DCG@3: 1/log2(1+1) + 1/log2(2+1) + 0/log2(3+1) = 1.63 * NDCG@3: 1.13/1.63 = 0.693

page_recall: Option<TopkMetrics>

Recall per page, at various top-k cutoff levels.

Recall is the fraction of relevant pages retrieved out of all relevant pages.

Example (top-5):

• For a single [SampleQuery][google.cloud.discoveryengine.v1beta.SampleQuery], if 3 out of 5 relevant pages are retrieved in the top-5, recall@5 = 3/5 = 0.6

page_ndcg: Option<TopkMetrics>

Normalized discounted cumulative gain (NDCG) per page, at various top-k cutoff levels.

NDCG measures the ranking quality, giving higher relevance to top results.

Example (top-3): Suppose [SampleQuery][google.cloud.discoveryengine.v1beta.SampleQuery] with three retrieved pages (P1, P2, P3) and binary relevance judgements (1 for relevant, 0 for not relevant):

Retrieved: [P3 (0), P1 (1), P2 (1)] Ideal: [P1 (1), P2 (1), P3 (0)]

Calculate NDCG@3 for [SampleQuery][google.cloud.discoveryengine.v1beta.SampleQuery]: * DCG@3: 0/log2(1+1) + 1/log2(2+1) + 1/log2(3+1) = 1.13 * Ideal DCG@3: 1/log2(1+1) + 1/log2(2+1) + 0/log2(3+1) = 1.63 * NDCG@3: 1.13/1.63 = 0.693

Trait Implementations

impl Clone for QualityMetrics

fn clone(&self) -> QualityMetrics

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for QualityMetrics

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

Formats the value using the given formatter.

impl Default for QualityMetrics

fn default() -> Self

Returns the “default value” for a type.

impl Message for QualityMetrics

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 QualityMetrics

fn eq(&self, other: &QualityMetrics) -> 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 Copy for QualityMetrics

impl StructuralPartialEq for QualityMetrics