Class QualityMetrics (0.51.0)

public final class QualityMetrics extends GeneratedMessageV3 implements QualityMetricsOrBuilder

Describes the metrics produced by the evaluation.

Protobuf type google.cloud.discoveryengine.v1alpha.QualityMetrics

Static Fields

DOC_NDCG_FIELD_NUMBER

public static final int DOC_NDCG_FIELD_NUMBER
Field Value
Type Description
int

DOC_PRECISION_FIELD_NUMBER

public static final int DOC_PRECISION_FIELD_NUMBER
Field Value
Type Description
int

DOC_RECALL_FIELD_NUMBER

public static final int DOC_RECALL_FIELD_NUMBER
Field Value
Type Description
int

PAGE_NDCG_FIELD_NUMBER

public static final int PAGE_NDCG_FIELD_NUMBER
Field Value
Type Description
int

PAGE_RECALL_FIELD_NUMBER

public static final int PAGE_RECALL_FIELD_NUMBER
Field Value
Type Description
int

Static Methods

getDefaultInstance()

public static QualityMetrics getDefaultInstance()
Returns
Type Description
QualityMetrics

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()
Returns
Type Description
Descriptor

newBuilder()

public static QualityMetrics.Builder newBuilder()
Returns
Type Description
QualityMetrics.Builder

newBuilder(QualityMetrics prototype)

public static QualityMetrics.Builder newBuilder(QualityMetrics prototype)
Parameter
Name Description
prototype QualityMetrics
Returns
Type Description
QualityMetrics.Builder

parseDelimitedFrom(InputStream input)

public static QualityMetrics parseDelimitedFrom(InputStream input)
Parameter
Name Description
input InputStream
Returns
Type Description
QualityMetrics
Exceptions
Type Description
IOException

parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static QualityMetrics parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input InputStream
extensionRegistry ExtensionRegistryLite
Returns
Type Description
QualityMetrics
Exceptions
Type Description
IOException

parseFrom(byte[] data)

public static QualityMetrics parseFrom(byte[] data)
Parameter
Name Description
data byte[]
Returns
Type Description
QualityMetrics
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)

public static QualityMetrics parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
data byte[]
extensionRegistry ExtensionRegistryLite
Returns
Type Description
QualityMetrics
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(ByteString data)

public static QualityMetrics parseFrom(ByteString data)
Parameter
Name Description
data ByteString
Returns
Type Description
QualityMetrics
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)

public static QualityMetrics parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
data ByteString
extensionRegistry ExtensionRegistryLite
Returns
Type Description
QualityMetrics
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(CodedInputStream input)

public static QualityMetrics parseFrom(CodedInputStream input)
Parameter
Name Description
input CodedInputStream
Returns
Type Description
QualityMetrics
Exceptions
Type Description
IOException

parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public static QualityMetrics parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input CodedInputStream
extensionRegistry ExtensionRegistryLite
Returns
Type Description
QualityMetrics
Exceptions
Type Description
IOException

parseFrom(InputStream input)

public static QualityMetrics parseFrom(InputStream input)
Parameter
Name Description
input InputStream
Returns
Type Description
QualityMetrics
Exceptions
Type Description
IOException

parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static QualityMetrics parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input InputStream
extensionRegistry ExtensionRegistryLite
Returns
Type Description
QualityMetrics
Exceptions
Type Description
IOException

parseFrom(ByteBuffer data)

public static QualityMetrics parseFrom(ByteBuffer data)
Parameter
Name Description
data ByteBuffer
Returns
Type Description
QualityMetrics
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)

public static QualityMetrics parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
data ByteBuffer
extensionRegistry ExtensionRegistryLite
Returns
Type Description
QualityMetrics
Exceptions
Type Description
InvalidProtocolBufferException

parser()

public static Parser<QualityMetrics> parser()
Returns
Type Description
Parser<QualityMetrics>

Methods

equals(Object obj)

public boolean equals(Object obj)
Parameter
Name Description
obj Object
Returns
Type Description
boolean
Overrides

getDefaultInstanceForType()

public QualityMetrics getDefaultInstanceForType()
Returns
Type Description
QualityMetrics

getDocNdcg()

public QualityMetrics.TopkMetrics getDocNdcg()

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 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:

  • 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

.google.cloud.discoveryengine.v1alpha.QualityMetrics.TopkMetrics doc_ndcg = 3;

Returns
Type Description
QualityMetrics.TopkMetrics

The docNdcg.

getDocNdcgOrBuilder()

public QualityMetrics.TopkMetricsOrBuilder getDocNdcgOrBuilder()

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 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:

  • 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

.google.cloud.discoveryengine.v1alpha.QualityMetrics.TopkMetrics doc_ndcg = 3;

Returns
Type Description
QualityMetrics.TopkMetricsOrBuilder

getDocPrecision()

public QualityMetrics.TopkMetrics getDocPrecision()

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, If 4 out of 5 retrieved documents in the top-5 are relevant, precision@5 = 4/5 = 0.8

.google.cloud.discoveryengine.v1alpha.QualityMetrics.TopkMetrics doc_precision = 2;

Returns
Type Description
QualityMetrics.TopkMetrics

The docPrecision.

getDocPrecisionOrBuilder()

public QualityMetrics.TopkMetricsOrBuilder getDocPrecisionOrBuilder()

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, If 4 out of 5 retrieved documents in the top-5 are relevant, precision@5 = 4/5 = 0.8

.google.cloud.discoveryengine.v1alpha.QualityMetrics.TopkMetrics doc_precision = 2;

Returns
Type Description
QualityMetrics.TopkMetricsOrBuilder

getDocRecall()

public QualityMetrics.TopkMetrics getDocRecall()

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, If 3 out of 5 relevant documents are retrieved in the top-5, recall@5 = 3/5 = 0.6

.google.cloud.discoveryengine.v1alpha.QualityMetrics.TopkMetrics doc_recall = 1;

Returns
Type Description
QualityMetrics.TopkMetrics

The docRecall.

getDocRecallOrBuilder()

public QualityMetrics.TopkMetricsOrBuilder getDocRecallOrBuilder()

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, If 3 out of 5 relevant documents are retrieved in the top-5, recall@5 = 3/5 = 0.6

.google.cloud.discoveryengine.v1alpha.QualityMetrics.TopkMetrics doc_recall = 1;

Returns
Type Description
QualityMetrics.TopkMetricsOrBuilder

getPageNdcg()

public QualityMetrics.TopkMetrics getPageNdcg()

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 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:

  • 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

.google.cloud.discoveryengine.v1alpha.QualityMetrics.TopkMetrics page_ndcg = 5;

Returns
Type Description
QualityMetrics.TopkMetrics

The pageNdcg.

getPageNdcgOrBuilder()

public QualityMetrics.TopkMetricsOrBuilder getPageNdcgOrBuilder()

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 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:

  • 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

.google.cloud.discoveryengine.v1alpha.QualityMetrics.TopkMetrics page_ndcg = 5;

Returns
Type Description
QualityMetrics.TopkMetricsOrBuilder

getPageRecall()

public QualityMetrics.TopkMetrics getPageRecall()

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, if 3 out of 5 relevant pages are retrieved in the top-5, recall@5 = 3/5 = 0.6

.google.cloud.discoveryengine.v1alpha.QualityMetrics.TopkMetrics page_recall = 4;

Returns
Type Description
QualityMetrics.TopkMetrics

The pageRecall.

getPageRecallOrBuilder()

public QualityMetrics.TopkMetricsOrBuilder getPageRecallOrBuilder()

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, if 3 out of 5 relevant pages are retrieved in the top-5, recall@5 = 3/5 = 0.6

.google.cloud.discoveryengine.v1alpha.QualityMetrics.TopkMetrics page_recall = 4;

Returns
Type Description
QualityMetrics.TopkMetricsOrBuilder

getParserForType()

public Parser<QualityMetrics> getParserForType()
Returns
Type Description
Parser<QualityMetrics>
Overrides

getSerializedSize()

public int getSerializedSize()
Returns
Type Description
int
Overrides

hasDocNdcg()

public boolean hasDocNdcg()

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 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:

  • 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

.google.cloud.discoveryengine.v1alpha.QualityMetrics.TopkMetrics doc_ndcg = 3;

Returns
Type Description
boolean

Whether the docNdcg field is set.

hasDocPrecision()

public boolean hasDocPrecision()

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, If 4 out of 5 retrieved documents in the top-5 are relevant, precision@5 = 4/5 = 0.8

.google.cloud.discoveryengine.v1alpha.QualityMetrics.TopkMetrics doc_precision = 2;

Returns
Type Description
boolean

Whether the docPrecision field is set.

hasDocRecall()

public boolean hasDocRecall()

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, If 3 out of 5 relevant documents are retrieved in the top-5, recall@5 = 3/5 = 0.6

.google.cloud.discoveryengine.v1alpha.QualityMetrics.TopkMetrics doc_recall = 1;

Returns
Type Description
boolean

Whether the docRecall field is set.

hasPageNdcg()

public boolean hasPageNdcg()

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 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:

  • 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

.google.cloud.discoveryengine.v1alpha.QualityMetrics.TopkMetrics page_ndcg = 5;

Returns
Type Description
boolean

Whether the pageNdcg field is set.

hasPageRecall()

public boolean hasPageRecall()

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, if 3 out of 5 relevant pages are retrieved in the top-5, recall@5 = 3/5 = 0.6

.google.cloud.discoveryengine.v1alpha.QualityMetrics.TopkMetrics page_recall = 4;

Returns
Type Description
boolean

Whether the pageRecall field is set.

hashCode()

public int hashCode()
Returns
Type Description
int
Overrides

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
Type Description
FieldAccessorTable
Overrides

isInitialized()

public final boolean isInitialized()
Returns
Type Description
boolean
Overrides

newBuilderForType()

public QualityMetrics.Builder newBuilderForType()
Returns
Type Description
QualityMetrics.Builder

newBuilderForType(GeneratedMessageV3.BuilderParent parent)

protected QualityMetrics.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
Parameter
Name Description
parent BuilderParent
Returns
Type Description
QualityMetrics.Builder
Overrides

newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)

protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
Parameter
Name Description
unused UnusedPrivateParameter
Returns
Type Description
Object
Overrides

toBuilder()

public QualityMetrics.Builder toBuilder()
Returns
Type Description
QualityMetrics.Builder

writeTo(CodedOutputStream output)

public void writeTo(CodedOutputStream output)
Parameter
Name Description
output CodedOutputStream
Overrides
Exceptions
Type Description
IOException