Class TextExtractionPredictionResult.Builder (3.22.0)

public static final class TextExtractionPredictionResult.Builder extends GeneratedMessageV3.Builder<TextExtractionPredictionResult.Builder> implements TextExtractionPredictionResultOrBuilder

Prediction output format for Text Extraction.

Protobuf type google.cloud.aiplatform.v1.schema.predict.prediction.TextExtractionPredictionResult

Inheritance

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

Implements

TextExtractionPredictionResultOrBuilder

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

addAllConfidences(Iterable<? extends Float> values)

public TextExtractionPredictionResult.Builder addAllConfidences(Iterable<? extends Float> values)

The Model's confidences in correctness of the predicted IDs, higher value means higher confidence. Order matches the Ids.

repeated float confidences = 5;

Parameter
Name	Description
`values`	`Iterable<? extends java.lang.Float>` The confidences to add.

Returns
Type	Description
`TextExtractionPredictionResult.Builder`	This builder for chaining.

addAllDisplayNames(Iterable<String> values)

public TextExtractionPredictionResult.Builder addAllDisplayNames(Iterable<String> values)

The display names of the AnnotationSpecs that had been identified, order matches the IDs.

repeated string display_names = 2;

Parameter
Name	Description
`values`	`Iterable<String>` The displayNames to add.

Returns
Type	Description
`TextExtractionPredictionResult.Builder`	This builder for chaining.

addAllIds(Iterable<? extends Long> values)

public TextExtractionPredictionResult.Builder addAllIds(Iterable<? extends Long> values)

The resource IDs of the AnnotationSpecs that had been identified, ordered by the confidence score descendingly.

repeated int64 ids = 1;

Parameter
Name	Description
`values`	`Iterable<? extends java.lang.Long>` The ids to add.

Returns
Type	Description
`TextExtractionPredictionResult.Builder`	This builder for chaining.

addAllTextSegmentEndOffsets(Iterable<? extends Long> values)

public TextExtractionPredictionResult.Builder addAllTextSegmentEndOffsets(Iterable<? extends Long> values)

The end offsets, inclusive, of the text segment in which the AnnotationSpec has been identified. Expressed as a zero-based number of characters as measured from the start of the text snippet.

repeated int64 text_segment_end_offsets = 4;

Parameter
Name	Description
`values`	`Iterable<? extends java.lang.Long>` The textSegmentEndOffsets to add.

Returns
Type	Description
`TextExtractionPredictionResult.Builder`	This builder for chaining.

addAllTextSegmentStartOffsets(Iterable<? extends Long> values)

public TextExtractionPredictionResult.Builder addAllTextSegmentStartOffsets(Iterable<? extends Long> values)

The start offsets, inclusive, of the text segment in which the AnnotationSpec has been identified. Expressed as a zero-based number of characters as measured from the start of the text snippet.

repeated int64 text_segment_start_offsets = 3;

Parameter
Name	Description
`values`	`Iterable<? extends java.lang.Long>` The textSegmentStartOffsets to add.

Returns
Type	Description
`TextExtractionPredictionResult.Builder`	This builder for chaining.

addConfidences(float value)

public TextExtractionPredictionResult.Builder addConfidences(float value)

The Model's confidences in correctness of the predicted IDs, higher value means higher confidence. Order matches the Ids.

repeated float confidences = 5;

Parameter
Name	Description
`value`	`float` The confidences to add.

Returns
Type	Description
`TextExtractionPredictionResult.Builder`	This builder for chaining.

addDisplayNames(String value)

public TextExtractionPredictionResult.Builder addDisplayNames(String value)

The display names of the AnnotationSpecs that had been identified, order matches the IDs.

repeated string display_names = 2;

Parameter
Name	Description
`value`	`String` The displayNames to add.

Returns
Type	Description
`TextExtractionPredictionResult.Builder`	This builder for chaining.

addDisplayNamesBytes(ByteString value)

public TextExtractionPredictionResult.Builder addDisplayNamesBytes(ByteString value)

The display names of the AnnotationSpecs that had been identified, order matches the IDs.

repeated string display_names = 2;

Parameter
Name	Description
`value`	`ByteString` The bytes of the displayNames to add.

Returns
Type	Description
`TextExtractionPredictionResult.Builder`	This builder for chaining.

addIds(long value)

public TextExtractionPredictionResult.Builder addIds(long value)

The resource IDs of the AnnotationSpecs that had been identified, ordered by the confidence score descendingly.

repeated int64 ids = 1;

Parameter
Name	Description
`value`	`long` The ids to add.

Returns
Type	Description
`TextExtractionPredictionResult.Builder`	This builder for chaining.

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

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

Parameters
Name	Description
`field`	`FieldDescriptor`
`value`	`Object`

Returns
Type	Description
`TextExtractionPredictionResult.Builder`

Overrides

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

addTextSegmentEndOffsets(long value)

public TextExtractionPredictionResult.Builder addTextSegmentEndOffsets(long value)

The end offsets, inclusive, of the text segment in which the AnnotationSpec has been identified. Expressed as a zero-based number of characters as measured from the start of the text snippet.

repeated int64 text_segment_end_offsets = 4;

Parameter
Name	Description
`value`	`long` The textSegmentEndOffsets to add.

Returns
Type	Description
`TextExtractionPredictionResult.Builder`	This builder for chaining.

addTextSegmentStartOffsets(long value)

public TextExtractionPredictionResult.Builder addTextSegmentStartOffsets(long value)

The start offsets, inclusive, of the text segment in which the AnnotationSpec has been identified. Expressed as a zero-based number of characters as measured from the start of the text snippet.

repeated int64 text_segment_start_offsets = 3;

Parameter
Name	Description
`value`	`long` The textSegmentStartOffsets to add.

Returns
Type	Description
`TextExtractionPredictionResult.Builder`	This builder for chaining.

build()

public TextExtractionPredictionResult build()

Returns
Type	Description
`TextExtractionPredictionResult`

buildPartial()

public TextExtractionPredictionResult buildPartial()

Returns
Type	Description
`TextExtractionPredictionResult`

clear()

public TextExtractionPredictionResult.Builder clear()

Returns
Type	Description
`TextExtractionPredictionResult.Builder`

Overrides

GeneratedMessageV3.Builder<BuilderType>.clear()

clearConfidences()

public TextExtractionPredictionResult.Builder clearConfidences()

The Model's confidences in correctness of the predicted IDs, higher value means higher confidence. Order matches the Ids.

repeated float confidences = 5;

Returns
Type	Description
`TextExtractionPredictionResult.Builder`	This builder for chaining.

clearDisplayNames()

public TextExtractionPredictionResult.Builder clearDisplayNames()

The display names of the AnnotationSpecs that had been identified, order matches the IDs.

repeated string display_names = 2;

Returns
Type	Description
`TextExtractionPredictionResult.Builder`	This builder for chaining.

clearField(Descriptors.FieldDescriptor field)

public TextExtractionPredictionResult.Builder clearField(Descriptors.FieldDescriptor field)

Parameter
Name	Description
`field`	`FieldDescriptor`

Returns
Type	Description
`TextExtractionPredictionResult.Builder`

Overrides

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

clearIds()

public TextExtractionPredictionResult.Builder clearIds()

The resource IDs of the AnnotationSpecs that had been identified, ordered by the confidence score descendingly.

repeated int64 ids = 1;

Returns
Type	Description
`TextExtractionPredictionResult.Builder`	This builder for chaining.

clearOneof(Descriptors.OneofDescriptor oneof)

public TextExtractionPredictionResult.Builder clearOneof(Descriptors.OneofDescriptor oneof)

Parameter
Name	Description
`oneof`	`OneofDescriptor`

Returns
Type	Description
`TextExtractionPredictionResult.Builder`

Overrides

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

clearTextSegmentEndOffsets()

public TextExtractionPredictionResult.Builder clearTextSegmentEndOffsets()

The end offsets, inclusive, of the text segment in which the AnnotationSpec has been identified. Expressed as a zero-based number of characters as measured from the start of the text snippet.

repeated int64 text_segment_end_offsets = 4;

Returns
Type	Description
`TextExtractionPredictionResult.Builder`	This builder for chaining.

clearTextSegmentStartOffsets()

public TextExtractionPredictionResult.Builder clearTextSegmentStartOffsets()

The start offsets, inclusive, of the text segment in which the AnnotationSpec has been identified. Expressed as a zero-based number of characters as measured from the start of the text snippet.

repeated int64 text_segment_start_offsets = 3;

Returns
Type	Description
`TextExtractionPredictionResult.Builder`	This builder for chaining.

clone()

public TextExtractionPredictionResult.Builder clone()

Returns
Type	Description
`TextExtractionPredictionResult.Builder`

Overrides

GeneratedMessageV3.Builder<BuilderType>.clone()

getConfidences(int index)

public float getConfidences(int index)

The Model's confidences in correctness of the predicted IDs, higher value means higher confidence. Order matches the Ids.

repeated float confidences = 5;

Parameter
Name	Description
`index`	`int` The index of the element to return.

Returns
Type	Description
`float`	The confidences at the given index.

getConfidencesCount()

public int getConfidencesCount()

The Model's confidences in correctness of the predicted IDs, higher value means higher confidence. Order matches the Ids.

repeated float confidences = 5;

Returns
Type	Description
`int`	The count of confidences.

getConfidencesList()

public List<Float> getConfidencesList()

The Model's confidences in correctness of the predicted IDs, higher value means higher confidence. Order matches the Ids.

repeated float confidences = 5;

Returns
Type	Description
`List<Float>`	A list containing the confidences.

getDefaultInstanceForType()

public TextExtractionPredictionResult getDefaultInstanceForType()

Returns
Type	Description
`TextExtractionPredictionResult`

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()

Returns
Type	Description
`Descriptor`

Overrides

GeneratedMessageV3.Builder<BuilderType>.getDescriptorForType()

getDisplayNames(int index)

public String getDisplayNames(int index)

The display names of the AnnotationSpecs that had been identified, order matches the IDs.

repeated string display_names = 2;

Parameter
Name	Description
`index`	`int` The index of the element to return.

Returns
Type	Description
`String`	The displayNames at the given index.

getDisplayNamesBytes(int index)

public ByteString getDisplayNamesBytes(int index)

The display names of the AnnotationSpecs that had been identified, order matches the IDs.

repeated string display_names = 2;

Parameter
Name	Description
`index`	`int` The index of the value to return.

Returns
Type	Description
`ByteString`	The bytes of the displayNames at the given index.

getDisplayNamesCount()

public int getDisplayNamesCount()

The display names of the AnnotationSpecs that had been identified, order matches the IDs.

repeated string display_names = 2;

Returns
Type	Description
`int`	The count of displayNames.

getDisplayNamesList()

public ProtocolStringList getDisplayNamesList()

The display names of the AnnotationSpecs that had been identified, order matches the IDs.

repeated string display_names = 2;

Returns
Type	Description
`ProtocolStringList`	A list containing the displayNames.

getIds(int index)

public long getIds(int index)

The resource IDs of the AnnotationSpecs that had been identified, ordered by the confidence score descendingly.

repeated int64 ids = 1;

Parameter
Name	Description
`index`	`int` The index of the element to return.

Returns
Type	Description
`long`	The ids at the given index.

getIdsCount()

public int getIdsCount()

The resource IDs of the AnnotationSpecs that had been identified, ordered by the confidence score descendingly.

repeated int64 ids = 1;

Returns
Type	Description
`int`	The count of ids.

getIdsList()

public List<Long> getIdsList()

The resource IDs of the AnnotationSpecs that had been identified, ordered by the confidence score descendingly.

repeated int64 ids = 1;

Returns
Type	Description
`List<Long>`	A list containing the ids.

getTextSegmentEndOffsets(int index)

public long getTextSegmentEndOffsets(int index)

The end offsets, inclusive, of the text segment in which the AnnotationSpec has been identified. Expressed as a zero-based number of characters as measured from the start of the text snippet.

repeated int64 text_segment_end_offsets = 4;

Parameter
Name	Description
`index`	`int` The index of the element to return.

Returns
Type	Description
`long`	The textSegmentEndOffsets at the given index.

getTextSegmentEndOffsetsCount()

public int getTextSegmentEndOffsetsCount()

The end offsets, inclusive, of the text segment in which the AnnotationSpec has been identified. Expressed as a zero-based number of characters as measured from the start of the text snippet.

repeated int64 text_segment_end_offsets = 4;

Returns
Type	Description
`int`	The count of textSegmentEndOffsets.

getTextSegmentEndOffsetsList()

public List<Long> getTextSegmentEndOffsetsList()

The end offsets, inclusive, of the text segment in which the AnnotationSpec has been identified. Expressed as a zero-based number of characters as measured from the start of the text snippet.

repeated int64 text_segment_end_offsets = 4;

Returns
Type	Description
`List<Long>`	A list containing the textSegmentEndOffsets.

getTextSegmentStartOffsets(int index)

public long getTextSegmentStartOffsets(int index)

The start offsets, inclusive, of the text segment in which the AnnotationSpec has been identified. Expressed as a zero-based number of characters as measured from the start of the text snippet.

repeated int64 text_segment_start_offsets = 3;

Parameter
Name	Description
`index`	`int` The index of the element to return.

Returns
Type	Description
`long`	The textSegmentStartOffsets at the given index.

getTextSegmentStartOffsetsCount()

public int getTextSegmentStartOffsetsCount()

The start offsets, inclusive, of the text segment in which the AnnotationSpec has been identified. Expressed as a zero-based number of characters as measured from the start of the text snippet.

repeated int64 text_segment_start_offsets = 3;

Returns
Type	Description
`int`	The count of textSegmentStartOffsets.

getTextSegmentStartOffsetsList()

public List<Long> getTextSegmentStartOffsetsList()

The start offsets, inclusive, of the text segment in which the AnnotationSpec has been identified. Expressed as a zero-based number of characters as measured from the start of the text snippet.

repeated int64 text_segment_start_offsets = 3;

Returns
Type	Description
`List<Long>`	A list containing the textSegmentStartOffsets.

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(TextExtractionPredictionResult other)

public TextExtractionPredictionResult.Builder mergeFrom(TextExtractionPredictionResult other)

Parameter
Name	Description
`other`	`TextExtractionPredictionResult`

Returns
Type	Description
`TextExtractionPredictionResult.Builder`

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

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

Parameters
Name	Description
`input`	`CodedInputStream`
`extensionRegistry`	`ExtensionRegistryLite`

Returns
Type	Description
`TextExtractionPredictionResult.Builder`

Overrides

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

Exceptions
Type	Description
`IOException`

mergeFrom(Message other)

public TextExtractionPredictionResult.Builder mergeFrom(Message other)

Parameter
Name	Description
`other`	`Message`

Returns
Type	Description
`TextExtractionPredictionResult.Builder`

Overrides

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

mergeUnknownFields(UnknownFieldSet unknownFields)

public final TextExtractionPredictionResult.Builder mergeUnknownFields(UnknownFieldSet unknownFields)

Parameter
Name	Description
`unknownFields`	`UnknownFieldSet`

Returns
Type	Description
`TextExtractionPredictionResult.Builder`

Overrides

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

setConfidences(int index, float value)

public TextExtractionPredictionResult.Builder setConfidences(int index, float value)

The Model's confidences in correctness of the predicted IDs, higher value means higher confidence. Order matches the Ids.

repeated float confidences = 5;

Parameters
Name	Description
`index`	`int` The index to set the value at.
`value`	`float` The confidences to set.

Returns
Type	Description
`TextExtractionPredictionResult.Builder`	This builder for chaining.

setDisplayNames(int index, String value)

public TextExtractionPredictionResult.Builder setDisplayNames(int index, String value)

The display names of the AnnotationSpecs that had been identified, order matches the IDs.

repeated string display_names = 2;

Parameters
Name	Description
`index`	`int` The index to set the value at.
`value`	`String` The displayNames to set.

Returns
Type	Description
`TextExtractionPredictionResult.Builder`	This builder for chaining.

setField(Descriptors.FieldDescriptor field, Object value)

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

Parameters
Name	Description
`field`	`FieldDescriptor`
`value`	`Object`

Returns
Type	Description
`TextExtractionPredictionResult.Builder`

Overrides

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

setIds(int index, long value)

public TextExtractionPredictionResult.Builder setIds(int index, long value)

The resource IDs of the AnnotationSpecs that had been identified, ordered by the confidence score descendingly.

repeated int64 ids = 1;

Parameters
Name	Description
`index`	`int` The index to set the value at.
`value`	`long` The ids to set.

Returns
Type	Description
`TextExtractionPredictionResult.Builder`	This builder for chaining.

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

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

Parameters
Name	Description
`field`	`FieldDescriptor`
`index`	`int`
`value`	`Object`

Returns
Type	Description
`TextExtractionPredictionResult.Builder`

Overrides

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

setTextSegmentEndOffsets(int index, long value)

public TextExtractionPredictionResult.Builder setTextSegmentEndOffsets(int index, long value)

The end offsets, inclusive, of the text segment in which the AnnotationSpec has been identified. Expressed as a zero-based number of characters as measured from the start of the text snippet.

repeated int64 text_segment_end_offsets = 4;

Parameters
Name	Description
`index`	`int` The index to set the value at.
`value`	`long` The textSegmentEndOffsets to set.

Returns
Type	Description
`TextExtractionPredictionResult.Builder`	This builder for chaining.

setTextSegmentStartOffsets(int index, long value)

public TextExtractionPredictionResult.Builder setTextSegmentStartOffsets(int index, long value)

The start offsets, inclusive, of the text segment in which the AnnotationSpec has been identified. Expressed as a zero-based number of characters as measured from the start of the text snippet.

repeated int64 text_segment_start_offsets = 3;

Parameters
Name	Description
`index`	`int` The index to set the value at.
`value`	`long` The textSegmentStartOffsets to set.

Returns
Type	Description
`TextExtractionPredictionResult.Builder`	This builder for chaining.

setUnknownFields(UnknownFieldSet unknownFields)

public final TextExtractionPredictionResult.Builder setUnknownFields(UnknownFieldSet unknownFields)

Parameter
Name	Description
`unknownFields`	`UnknownFieldSet`

Returns
Type	Description
`TextExtractionPredictionResult.Builder`

Overrides

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