Class Evaluation.MultiConfidenceMetrics (2.85.0)
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public static final class Evaluation . MultiConfidenceMetrics extends GeneratedMessageV3 implements Evaluation . MultiConfidenceMetricsOrBuilder
Metrics across multiple confidence levels.
Protobuf type google.cloud.documentai.v1.Evaluation.MultiConfidenceMetrics
Inherited Members
com.google.protobuf.GeneratedMessageV3.<ListT>makeMutableCopy(ListT)
com.google.protobuf.GeneratedMessageV3.<ListT>makeMutableCopy(ListT,int)
com.google.protobuf.GeneratedMessageV3.<T>emptyList(java.lang.Class<T>)
com.google.protobuf.GeneratedMessageV3.internalGetMapFieldReflection(int)
Static Fields
AUPRC_EXACT_FIELD_NUMBER
public static final int AUPRC_EXACT_FIELD_NUMBER
Field Value
Type Description
int
AUPRC_FIELD_NUMBER
public static final int AUPRC_FIELD_NUMBER
Field Value
Type Description
int
CONFIDENCE_LEVEL_METRICS_EXACT_FIELD_NUMBER
public static final int CONFIDENCE_LEVEL_METRICS_EXACT_FIELD_NUMBER
Field Value
Type Description
int
CONFIDENCE_LEVEL_METRICS_FIELD_NUMBER
public static final int CONFIDENCE_LEVEL_METRICS_FIELD_NUMBER
Field Value
Type Description
int
ESTIMATED_CALIBRATION_ERROR_EXACT_FIELD_NUMBER
public static final int ESTIMATED_CALIBRATION_ERROR_EXACT_FIELD_NUMBER
Field Value
Type Description
int
ESTIMATED_CALIBRATION_ERROR_FIELD_NUMBER
public static final int ESTIMATED_CALIBRATION_ERROR_FIELD_NUMBER
Field Value
Type Description
int
METRICS_TYPE_FIELD_NUMBER
public static final int METRICS_TYPE_FIELD_NUMBER
Field Value
Type Description
int
Static Methods
getDefaultInstance()
public static Evaluation . MultiConfidenceMetrics getDefaultInstance ()
getDescriptor()
public static final Descriptors . Descriptor getDescriptor ()
newBuilder()
public static Evaluation . MultiConfidenceMetrics . Builder newBuilder ()
newBuilder(Evaluation.MultiConfidenceMetrics prototype)
public static Evaluation . MultiConfidenceMetrics . Builder newBuilder ( Evaluation . MultiConfidenceMetrics prototype )
public static Evaluation . MultiConfidenceMetrics parseDelimitedFrom ( InputStream input )
public static Evaluation . MultiConfidenceMetrics parseDelimitedFrom ( InputStream input , ExtensionRegistryLite extensionRegistry )
parseFrom(byte[] data)
public static Evaluation . MultiConfidenceMetrics parseFrom ( byte [] data )
Parameter
Name Description
databyte []
parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
public static Evaluation . MultiConfidenceMetrics parseFrom ( byte [] data , ExtensionRegistryLite extensionRegistry )
parseFrom(ByteString data)
public static Evaluation . MultiConfidenceMetrics parseFrom ( ByteString data )
parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
public static Evaluation . MultiConfidenceMetrics parseFrom ( ByteString data , ExtensionRegistryLite extensionRegistry )
public static Evaluation . MultiConfidenceMetrics parseFrom ( CodedInputStream input )
public static Evaluation . MultiConfidenceMetrics parseFrom ( CodedInputStream input , ExtensionRegistryLite extensionRegistry )
public static Evaluation . MultiConfidenceMetrics parseFrom ( InputStream input )
public static Evaluation . MultiConfidenceMetrics parseFrom ( InputStream input , ExtensionRegistryLite extensionRegistry )
parseFrom(ByteBuffer data)
public static Evaluation . MultiConfidenceMetrics parseFrom ( ByteBuffer data )
parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
public static Evaluation . MultiConfidenceMetrics parseFrom ( ByteBuffer data , ExtensionRegistryLite extensionRegistry )
parser()
public static Parser<Evaluation . MultiConfidenceMetrics > parser ()
Methods
equals(Object obj)
public boolean equals ( Object obj )
Parameter
Name Description
objObject
Overrides
getAuprc()
The calculated area under the precision recall curve (AUPRC), computed by
integrating over all confidence thresholds.
float auprc = 2;
Returns
Type Description
float The auprc.
getAuprcExact()
public float getAuprcExact ()
The AUPRC for metrics with fuzzy matching disabled, i.e., exact matching
only.
float auprc_exact = 5;
Returns
Type Description
float The auprcExact.
getConfidenceLevelMetrics(int index)
public Evaluation . ConfidenceLevelMetrics getConfidenceLevelMetrics ( int index )
Metrics across confidence levels with fuzzy matching enabled.
repeated .google.cloud.documentai.v1.Evaluation.ConfidenceLevelMetrics confidence_level_metrics = 1;
Parameter
Name Description
indexint
getConfidenceLevelMetricsCount()
public int getConfidenceLevelMetricsCount ()
Metrics across confidence levels with fuzzy matching enabled.
repeated .google.cloud.documentai.v1.Evaluation.ConfidenceLevelMetrics confidence_level_metrics = 1;
Returns
Type Description
int
getConfidenceLevelMetricsExact(int index)
public Evaluation . ConfidenceLevelMetrics getConfidenceLevelMetricsExact ( int index )
Metrics across confidence levels with only exact matching.
repeated .google.cloud.documentai.v1.Evaluation.ConfidenceLevelMetrics confidence_level_metrics_exact = 4;
Parameter
Name Description
indexint
getConfidenceLevelMetricsExactCount()
public int getConfidenceLevelMetricsExactCount ()
Metrics across confidence levels with only exact matching.
repeated .google.cloud.documentai.v1.Evaluation.ConfidenceLevelMetrics confidence_level_metrics_exact = 4;
Returns
Type Description
int
getConfidenceLevelMetricsExactList()
public List<Evaluation . ConfidenceLevelMetrics > getConfidenceLevelMetricsExactList ()
Metrics across confidence levels with only exact matching.
repeated .google.cloud.documentai.v1.Evaluation.ConfidenceLevelMetrics confidence_level_metrics_exact = 4;
getConfidenceLevelMetricsExactOrBuilder(int index)
public Evaluation . ConfidenceLevelMetricsOrBuilder getConfidenceLevelMetricsExactOrBuilder ( int index )
Metrics across confidence levels with only exact matching.
repeated .google.cloud.documentai.v1.Evaluation.ConfidenceLevelMetrics confidence_level_metrics_exact = 4;
Parameter
Name Description
indexint
getConfidenceLevelMetricsExactOrBuilderList()
public List <? extends Evaluation . ConfidenceLevelMetricsOrBuilder > getConfidenceLevelMetricsExactOrBuilderList ()
Metrics across confidence levels with only exact matching.
repeated .google.cloud.documentai.v1.Evaluation.ConfidenceLevelMetrics confidence_level_metrics_exact = 4;
Returns
Type Description
List <? extends com.google.cloud.documentai.v1.Evaluation.ConfidenceLevelMetricsOrBuilder >
getConfidenceLevelMetricsList()
public List<Evaluation . ConfidenceLevelMetrics > getConfidenceLevelMetricsList ()
Metrics across confidence levels with fuzzy matching enabled.
repeated .google.cloud.documentai.v1.Evaluation.ConfidenceLevelMetrics confidence_level_metrics = 1;
getConfidenceLevelMetricsOrBuilder(int index)
public Evaluation . ConfidenceLevelMetricsOrBuilder getConfidenceLevelMetricsOrBuilder ( int index )
Metrics across confidence levels with fuzzy matching enabled.
repeated .google.cloud.documentai.v1.Evaluation.ConfidenceLevelMetrics confidence_level_metrics = 1;
Parameter
Name Description
indexint
getConfidenceLevelMetricsOrBuilderList()
public List <? extends Evaluation . ConfidenceLevelMetricsOrBuilder > getConfidenceLevelMetricsOrBuilderList ()
Metrics across confidence levels with fuzzy matching enabled.
repeated .google.cloud.documentai.v1.Evaluation.ConfidenceLevelMetrics confidence_level_metrics = 1;
Returns
Type Description
List <? extends com.google.cloud.documentai.v1.Evaluation.ConfidenceLevelMetricsOrBuilder >
getDefaultInstanceForType()
public Evaluation . MultiConfidenceMetrics getDefaultInstanceForType ()
getEstimatedCalibrationError()
public float getEstimatedCalibrationError ()
The Estimated Calibration Error (ECE) of the confidence of the predicted
entities.
float estimated_calibration_error = 3;
Returns
Type Description
float The estimatedCalibrationError.
getEstimatedCalibrationErrorExact()
public float getEstimatedCalibrationErrorExact ()
The ECE for the predicted entities with fuzzy matching disabled, i.e.,
exact matching only.
float estimated_calibration_error_exact = 6;
Returns
Type Description
float The estimatedCalibrationErrorExact.
getMetricsType()
public Evaluation . MultiConfidenceMetrics . MetricsType getMetricsType ()
The metrics type for the label.
.google.cloud.documentai.v1.Evaluation.MultiConfidenceMetrics.MetricsType metrics_type = 7;
getMetricsTypeValue()
public int getMetricsTypeValue ()
The metrics type for the label.
.google.cloud.documentai.v1.Evaluation.MultiConfidenceMetrics.MetricsType metrics_type = 7;
Returns
Type Description
int The enum numeric value on the wire for metricsType.
getParserForType()
public Parser<Evaluation . MultiConfidenceMetrics > getParserForType ()
Overrides
getSerializedSize()
public int getSerializedSize ()
Returns
Type Description
int
Overrides
hashCode()
Returns
Type Description
int
Overrides
internalGetFieldAccessorTable()
protected GeneratedMessageV3 . FieldAccessorTable internalGetFieldAccessorTable ()
Overrides
isInitialized()
public final boolean isInitialized ()
Overrides
newBuilderForType()
public Evaluation . MultiConfidenceMetrics . Builder newBuilderForType ()
newBuilderForType(GeneratedMessageV3.BuilderParent parent)
protected Evaluation . MultiConfidenceMetrics . Builder newBuilderForType ( GeneratedMessageV3 . BuilderParent parent )
Overrides
newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
protected Object newInstance ( GeneratedMessageV3 . UnusedPrivateParameter unused )
Returns
Type Description
Object
Overrides
toBuilder()
public Evaluation . MultiConfidenceMetrics . Builder toBuilder ()
writeTo(CodedOutputStream output)
public void writeTo ( CodedOutputStream output )
Overrides
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License , and code samples are licensed under the Apache 2.0 License . For details, see the Google Developers Site Policies . Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2026-03-14 UTC.
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