Class TextExtractionEvaluationMetrics.Builder (2.3.1)

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.v1beta1.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)

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)

GeneratedMessageV3.Builder.newBuilderForField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.onBuilt()

GeneratedMessageV3.Builder.onChanged()

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

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

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.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2;

Parameter

Name	Description
values	`Iterable<? extends com.google.cloud.automl.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2;

Returns

Type	Description
List<? extends com.google.cloud.automl.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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)