Class TextExtractionEvaluationMetrics.Builder (2.30.0)

Version 2.30.0

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public static final class TextExtractionEvaluationMetrics.Builder extends GeneratedMessageV3.Builder<TextExtractionEvaluationMetrics.Builder> implements TextExtractionEvaluationMetricsOrBuilder

Model evaluation metrics for text extraction problems.

Protobuf type google.cloud.automl.v1.TextExtractionEvaluationMetrics

Inheritance

Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > TextExtractionEvaluationMetrics.Builder

Implements

TextExtractionEvaluationMetricsOrBuilder

Inherited Members

AbstractMessage.Builder.findInitializationErrors()

AbstractMessage.Builder.getInitializationErrorString()

AbstractMessage.Builder.internalMergeFrom(AbstractMessageLite)

AbstractMessage.Builder.mergeFrom(byte[])

AbstractMessage.Builder.mergeFrom(byte[],ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(byte[],int,int)

AbstractMessage.Builder.mergeFrom(byte[],int,int,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(ByteString)

AbstractMessage.Builder.mergeFrom(ByteString,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(CodedInputStream)

AbstractMessage.Builder.mergeFrom(CodedInputStream,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(Message)

AbstractMessage.Builder.mergeFrom(InputStream)

AbstractMessage.Builder.mergeFrom(InputStream,ExtensionRegistryLite)

AbstractMessage.Builder.newUninitializedMessageException(Message)

AbstractMessage.Builder.toString()

AbstractMessageLite.Builder.<T>addAll(Iterable<T>,Collection<? super T>)

AbstractMessageLite.Builder.<T>addAll(Iterable<T>,List<? super T>)

AbstractMessageLite.Builder.internalMergeFrom(MessageType)

AbstractMessageLite.Builder.mergeDelimitedFrom(InputStream)

AbstractMessageLite.Builder.mergeDelimitedFrom(InputStream,ExtensionRegistryLite)

AbstractMessageLite.Builder.mergeFrom(MessageLite)

AbstractMessageLite.Builder.newUninitializedMessageException(MessageLite)

GeneratedMessageV3.Builder.addRepeatedField(Descriptors.FieldDescriptor,Object)

GeneratedMessageV3.Builder.clear()

GeneratedMessageV3.Builder.clearField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.clearOneof(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.clone()

GeneratedMessageV3.Builder.getAllFields()

GeneratedMessageV3.Builder.getDescriptorForType()

GeneratedMessageV3.Builder.getField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.getFieldBuilder(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.getOneofFieldDescriptor(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.getParentForChildren()

GeneratedMessageV3.Builder.getRepeatedField(Descriptors.FieldDescriptor,int)

GeneratedMessageV3.Builder.getRepeatedFieldBuilder(Descriptors.FieldDescriptor,int)

GeneratedMessageV3.Builder.getRepeatedFieldCount(Descriptors.FieldDescriptor)

com.google.protobuf.GeneratedMessageV3.Builder.getUnknownFieldSetBuilder()

GeneratedMessageV3.Builder.getUnknownFields()

GeneratedMessageV3.Builder.hasField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.hasOneof(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.internalGetFieldAccessorTable()

GeneratedMessageV3.Builder.internalGetMapField(int)

GeneratedMessageV3.Builder.internalGetMutableMapField(int)

GeneratedMessageV3.Builder.isClean()

GeneratedMessageV3.Builder.isInitialized()

GeneratedMessageV3.Builder.markClean()

GeneratedMessageV3.Builder.mergeUnknownFields(UnknownFieldSet)

com.google.protobuf.GeneratedMessageV3.Builder.mergeUnknownLengthDelimitedField(int,com.google.protobuf.ByteString)

com.google.protobuf.GeneratedMessageV3.Builder.mergeUnknownVarintField(int,int)

GeneratedMessageV3.Builder.newBuilderForField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.onBuilt()

GeneratedMessageV3.Builder.onChanged()

com.google.protobuf.GeneratedMessageV3.Builder.parseUnknownField(com.google.protobuf.CodedInputStream,com.google.protobuf.ExtensionRegistryLite,int)

GeneratedMessageV3.Builder.setField(Descriptors.FieldDescriptor,Object)

GeneratedMessageV3.Builder.setRepeatedField(Descriptors.FieldDescriptor,int,Object)

com.google.protobuf.GeneratedMessageV3.Builder.setUnknownFieldSetBuilder(com.google.protobuf.UnknownFieldSet.Builder)

GeneratedMessageV3.Builder.setUnknownFields(UnknownFieldSet)

GeneratedMessageV3.Builder.setUnknownFieldsProto3(UnknownFieldSet)

Object.equals(Object)

Object.finalize()

Object.getClass()

Object.hashCode()

Object.notify()

Object.notifyAll()

Object.wait()

Object.wait(long)

Object.wait(long,int)

Static Methods

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()

Returns
Type	Description
Descriptor

Methods

addAllConfidenceMetricsEntries(Iterable<? extends TextExtractionEvaluationMetrics.ConfidenceMetricsEntry> values)

public TextExtractionEvaluationMetrics.Builder addAllConfidenceMetricsEntries(Iterable<? extends TextExtractionEvaluationMetrics.ConfidenceMetricsEntry> values)

Output only. Metrics that have confidence thresholds. Precision-recall curve can be derived from it.

repeated .google.cloud.automl.v1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2;

Parameter
Name	Description
values	Iterable<? extends com.google.cloud.automl.v1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry>

Returns
Type	Description
TextExtractionEvaluationMetrics.Builder

addConfidenceMetricsEntries(TextExtractionEvaluationMetrics.ConfidenceMetricsEntry value)

public TextExtractionEvaluationMetrics.Builder addConfidenceMetricsEntries(TextExtractionEvaluationMetrics.ConfidenceMetricsEntry value)

Output only. Metrics that have confidence thresholds. Precision-recall curve can be derived from it.

repeated .google.cloud.automl.v1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2;

Parameter
Name	Description
value	TextExtractionEvaluationMetrics.ConfidenceMetricsEntry

Returns
Type	Description
TextExtractionEvaluationMetrics.Builder

addConfidenceMetricsEntries(TextExtractionEvaluationMetrics.ConfidenceMetricsEntry.Builder builderForValue)

public TextExtractionEvaluationMetrics.Builder addConfidenceMetricsEntries(TextExtractionEvaluationMetrics.ConfidenceMetricsEntry.Builder builderForValue)

Output only. Metrics that have confidence thresholds. Precision-recall curve can be derived from it.

repeated .google.cloud.automl.v1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2;

Parameter
Name	Description
builderForValue	TextExtractionEvaluationMetrics.ConfidenceMetricsEntry.Builder

Returns
Type	Description
TextExtractionEvaluationMetrics.Builder

addConfidenceMetricsEntries(int index, TextExtractionEvaluationMetrics.ConfidenceMetricsEntry value)

public TextExtractionEvaluationMetrics.Builder addConfidenceMetricsEntries(int index, TextExtractionEvaluationMetrics.ConfidenceMetricsEntry value)

Output only. Metrics that have confidence thresholds. Precision-recall curve can be derived from it.

repeated .google.cloud.automl.v1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2;

Parameters
Name	Description
index	int
value	TextExtractionEvaluationMetrics.ConfidenceMetricsEntry

Returns
Type	Description
TextExtractionEvaluationMetrics.Builder

addConfidenceMetricsEntries(int index, TextExtractionEvaluationMetrics.ConfidenceMetricsEntry.Builder builderForValue)

public TextExtractionEvaluationMetrics.Builder addConfidenceMetricsEntries(int index, TextExtractionEvaluationMetrics.ConfidenceMetricsEntry.Builder builderForValue)

Output only. Metrics that have confidence thresholds. Precision-recall curve can be derived from it.

repeated .google.cloud.automl.v1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2;

Parameters
Name	Description
index	int
builderForValue	TextExtractionEvaluationMetrics.ConfidenceMetricsEntry.Builder

Returns
Type	Description
TextExtractionEvaluationMetrics.Builder

addConfidenceMetricsEntriesBuilder()

public TextExtractionEvaluationMetrics.ConfidenceMetricsEntry.Builder addConfidenceMetricsEntriesBuilder()

Output only. Metrics that have confidence thresholds. Precision-recall curve can be derived from it.

repeated .google.cloud.automl.v1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2;

Returns
Type	Description
TextExtractionEvaluationMetrics.ConfidenceMetricsEntry.Builder

addConfidenceMetricsEntriesBuilder(int index)

public TextExtractionEvaluationMetrics.ConfidenceMetricsEntry.Builder addConfidenceMetricsEntriesBuilder(int index)

Output only. Metrics that have confidence thresholds. Precision-recall curve can be derived from it.

repeated .google.cloud.automl.v1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2;

Parameter
Name	Description
index	int

Returns
Type	Description
TextExtractionEvaluationMetrics.ConfidenceMetricsEntry.Builder

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

public TextExtractionEvaluationMetrics.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)

Parameters
Name	Description
field	FieldDescriptor
value	Object

Returns
Type	Description
TextExtractionEvaluationMetrics.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.addRepeatedField(Descriptors.FieldDescriptor field, Object value)

build()

public TextExtractionEvaluationMetrics build()

Returns
Type	Description
TextExtractionEvaluationMetrics

buildPartial()

public TextExtractionEvaluationMetrics buildPartial()

Returns
Type	Description
TextExtractionEvaluationMetrics

clear()

public TextExtractionEvaluationMetrics.Builder clear()

Returns
Type	Description
TextExtractionEvaluationMetrics.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clear()

clearAuPrc()

public TextExtractionEvaluationMetrics.Builder clearAuPrc()

Output only. The Area under precision recall curve metric.

float au_prc = 1;

Returns
Type	Description
TextExtractionEvaluationMetrics.Builder	This builder for chaining.

clearConfidenceMetricsEntries()

public TextExtractionEvaluationMetrics.Builder clearConfidenceMetricsEntries()

Output only. Metrics that have confidence thresholds. Precision-recall curve can be derived from it.

repeated .google.cloud.automl.v1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2;

Returns
Type	Description
TextExtractionEvaluationMetrics.Builder

clearField(Descriptors.FieldDescriptor field)

public TextExtractionEvaluationMetrics.Builder clearField(Descriptors.FieldDescriptor field)

Parameter
Name	Description
field	FieldDescriptor

Returns
Type	Description
TextExtractionEvaluationMetrics.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clearField(Descriptors.FieldDescriptor field)

clearOneof(Descriptors.OneofDescriptor oneof)

public TextExtractionEvaluationMetrics.Builder clearOneof(Descriptors.OneofDescriptor oneof)

Parameter
Name	Description
oneof	OneofDescriptor

Returns
Type	Description
TextExtractionEvaluationMetrics.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clearOneof(Descriptors.OneofDescriptor oneof)

clone()

public TextExtractionEvaluationMetrics.Builder clone()

Returns
Type	Description
TextExtractionEvaluationMetrics.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clone()

getAuPrc()

public float getAuPrc()

Output only. The Area under precision recall curve metric.

float au_prc = 1;

Returns
Type	Description
float	The auPrc.

getConfidenceMetricsEntries(int index)

public TextExtractionEvaluationMetrics.ConfidenceMetricsEntry getConfidenceMetricsEntries(int index)

Output only. Metrics that have confidence thresholds. Precision-recall curve can be derived from it.

repeated .google.cloud.automl.v1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2;

Parameter
Name	Description
index	int

Returns
Type	Description
TextExtractionEvaluationMetrics.ConfidenceMetricsEntry

getConfidenceMetricsEntriesBuilder(int index)

public TextExtractionEvaluationMetrics.ConfidenceMetricsEntry.Builder getConfidenceMetricsEntriesBuilder(int index)

Output only. Metrics that have confidence thresholds. Precision-recall curve can be derived from it.

repeated .google.cloud.automl.v1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2;

Parameter
Name	Description
index	int

Returns
Type	Description
TextExtractionEvaluationMetrics.ConfidenceMetricsEntry.Builder

getConfidenceMetricsEntriesBuilderList()

public List<TextExtractionEvaluationMetrics.ConfidenceMetricsEntry.Builder> getConfidenceMetricsEntriesBuilderList()

Output only. Metrics that have confidence thresholds. Precision-recall curve can be derived from it.

repeated .google.cloud.automl.v1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2;

Returns
Type	Description
List<Builder>

getConfidenceMetricsEntriesCount()

public int getConfidenceMetricsEntriesCount()

Output only. Metrics that have confidence thresholds. Precision-recall curve can be derived from it.

repeated .google.cloud.automl.v1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2;

Returns
Type	Description
int

getConfidenceMetricsEntriesList()

public List<TextExtractionEvaluationMetrics.ConfidenceMetricsEntry> getConfidenceMetricsEntriesList()

Output only. Metrics that have confidence thresholds. Precision-recall curve can be derived from it.

repeated .google.cloud.automl.v1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2;

Returns
Type	Description
List<ConfidenceMetricsEntry>

getConfidenceMetricsEntriesOrBuilder(int index)

public TextExtractionEvaluationMetrics.ConfidenceMetricsEntryOrBuilder getConfidenceMetricsEntriesOrBuilder(int index)

Output only. Metrics that have confidence thresholds. Precision-recall curve can be derived from it.

repeated .google.cloud.automl.v1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2;

Parameter
Name	Description
index	int

Returns
Type	Description
TextExtractionEvaluationMetrics.ConfidenceMetricsEntryOrBuilder

getConfidenceMetricsEntriesOrBuilderList()

public List<? extends TextExtractionEvaluationMetrics.ConfidenceMetricsEntryOrBuilder> getConfidenceMetricsEntriesOrBuilderList()

Output only. Metrics that have confidence thresholds. Precision-recall curve can be derived from it.

repeated .google.cloud.automl.v1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2;

Returns
Type	Description
List<? extends com.google.cloud.automl.v1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntryOrBuilder>

getDefaultInstanceForType()

public TextExtractionEvaluationMetrics getDefaultInstanceForType()

Returns
Type	Description
TextExtractionEvaluationMetrics

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()

Returns
Type	Description
Descriptor

Overrides

GeneratedMessageV3.Builder<BuilderType>.getDescriptorForType()

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()

Returns
Type	Description
FieldAccessorTable

Overrides

GeneratedMessageV3.Builder<BuilderType>.internalGetFieldAccessorTable()

isInitialized()

public final boolean isInitialized()

Returns
Type	Description
boolean

Overrides

GeneratedMessageV3.Builder<BuilderType>.isInitialized()

mergeFrom(TextExtractionEvaluationMetrics other)

public TextExtractionEvaluationMetrics.Builder mergeFrom(TextExtractionEvaluationMetrics other)

Parameter
Name	Description
other	TextExtractionEvaluationMetrics

Returns
Type	Description
TextExtractionEvaluationMetrics.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public TextExtractionEvaluationMetrics.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

Parameters
Name	Description
input	CodedInputStream
extensionRegistry	ExtensionRegistryLite

Returns
Type	Description
TextExtractionEvaluationMetrics.Builder

Overrides

AbstractMessage.Builder<BuilderType>.mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

Exceptions
Type	Description
IOException

mergeFrom(Message other)

public TextExtractionEvaluationMetrics.Builder mergeFrom(Message other)

Parameter
Name	Description
other	Message

Returns
Type	Description
TextExtractionEvaluationMetrics.Builder

Overrides

AbstractMessage.Builder<BuilderType>.mergeFrom(Message other)

mergeUnknownFields(UnknownFieldSet unknownFields)

public final TextExtractionEvaluationMetrics.Builder mergeUnknownFields(UnknownFieldSet unknownFields)

Parameter
Name	Description
unknownFields	UnknownFieldSet

Returns
Type	Description
TextExtractionEvaluationMetrics.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.mergeUnknownFields(UnknownFieldSet unknownFields)

removeConfidenceMetricsEntries(int index)

public TextExtractionEvaluationMetrics.Builder removeConfidenceMetricsEntries(int index)

Output only. Metrics that have confidence thresholds. Precision-recall curve can be derived from it.

repeated .google.cloud.automl.v1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2;

Parameter
Name	Description
index	int

Returns
Type	Description
TextExtractionEvaluationMetrics.Builder

setAuPrc(float value)

public TextExtractionEvaluationMetrics.Builder setAuPrc(float value)

Output only. The Area under precision recall curve metric.

float au_prc = 1;

Parameter
Name	Description
value	float The auPrc to set.

Returns
Type	Description
TextExtractionEvaluationMetrics.Builder	This builder for chaining.

setConfidenceMetricsEntries(int index, TextExtractionEvaluationMetrics.ConfidenceMetricsEntry value)

public TextExtractionEvaluationMetrics.Builder setConfidenceMetricsEntries(int index, TextExtractionEvaluationMetrics.ConfidenceMetricsEntry value)

Output only. Metrics that have confidence thresholds. Precision-recall curve can be derived from it.

repeated .google.cloud.automl.v1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2;

Parameters
Name	Description
index	int
value	TextExtractionEvaluationMetrics.ConfidenceMetricsEntry

Returns
Type	Description
TextExtractionEvaluationMetrics.Builder

setConfidenceMetricsEntries(int index, TextExtractionEvaluationMetrics.ConfidenceMetricsEntry.Builder builderForValue)

public TextExtractionEvaluationMetrics.Builder setConfidenceMetricsEntries(int index, TextExtractionEvaluationMetrics.ConfidenceMetricsEntry.Builder builderForValue)

Output only. Metrics that have confidence thresholds. Precision-recall curve can be derived from it.

repeated .google.cloud.automl.v1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2;

Parameters
Name	Description
index	int
builderForValue	TextExtractionEvaluationMetrics.ConfidenceMetricsEntry.Builder

Returns
Type	Description
TextExtractionEvaluationMetrics.Builder

setField(Descriptors.FieldDescriptor field, Object value)

public TextExtractionEvaluationMetrics.Builder setField(Descriptors.FieldDescriptor field, Object value)

Parameters
Name	Description
field	FieldDescriptor
value	Object

Returns
Type	Description
TextExtractionEvaluationMetrics.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.setField(Descriptors.FieldDescriptor field, Object value)

setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

public TextExtractionEvaluationMetrics.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

Parameters
Name	Description
field	FieldDescriptor
index	int
value	Object

Returns
Type	Description
TextExtractionEvaluationMetrics.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

setUnknownFields(UnknownFieldSet unknownFields)

public final TextExtractionEvaluationMetrics.Builder setUnknownFields(UnknownFieldSet unknownFields)

Parameter
Name	Description
unknownFields	UnknownFieldSet

Returns
Type	Description
TextExtractionEvaluationMetrics.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.setUnknownFields(UnknownFieldSet unknownFields)