Class Dataset.Builder (2.3.5)

Version 2.3.5

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public static final class Dataset.Builder extends GeneratedMessageV3.Builder<Dataset.Builder> implements DatasetOrBuilder

A workspace for solving a single, particular machine learning (ML) problem. A workspace contains examples that may be annotated.

Protobuf type google.cloud.automl.v1.Dataset

Inheritance

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

Implements

DatasetOrBuilder

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

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

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

Parameters

Name	Description
field	FieldDescriptor
value	Object

Returns

Type	Description
Dataset.Builder

Overrides

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

build()

public Dataset build()

Returns

Type	Description
Dataset

buildPartial()

public Dataset buildPartial()

Returns

Type	Description
Dataset

clear()

public Dataset.Builder clear()

Returns

Type	Description
Dataset.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clear()

clearCreateTime()

public Dataset.Builder clearCreateTime()

Output only. Timestamp when this dataset was created.

.google.protobuf.Timestamp create_time = 14;

Returns

Type	Description
Dataset.Builder

clearDatasetMetadata()

public Dataset.Builder clearDatasetMetadata()

Returns

Type	Description
Dataset.Builder

clearDescription()

public Dataset.Builder clearDescription()

User-provided description of the dataset. The description can be up to 25000 characters long.

string description = 3;

Returns

Type	Description
Dataset.Builder	This builder for chaining.

clearDisplayName()

public Dataset.Builder clearDisplayName()

Required. The name of the dataset to show in the interface. The name can be up to 32 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscores (_), and ASCII digits 0-9.

string display_name = 2;

Returns

Type	Description
Dataset.Builder	This builder for chaining.

clearEtag()

public Dataset.Builder clearEtag()

Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.

string etag = 17;

Returns

Type	Description
Dataset.Builder	This builder for chaining.

clearExampleCount()

public Dataset.Builder clearExampleCount()

Output only. The number of examples in the dataset.

int32 example_count = 21;

Returns

Type	Description
Dataset.Builder	This builder for chaining.

clearField(Descriptors.FieldDescriptor field)

public Dataset.Builder clearField(Descriptors.FieldDescriptor field)

Parameter

Name	Description
field	FieldDescriptor

Returns

Type	Description
Dataset.Builder

Overrides

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

clearImageClassificationDatasetMetadata()

public Dataset.Builder clearImageClassificationDatasetMetadata()

Metadata for a dataset used for image classification.

.google.cloud.automl.v1.ImageClassificationDatasetMetadata image_classification_dataset_metadata = 24;

Returns

Type	Description
Dataset.Builder

clearImageObjectDetectionDatasetMetadata()

public Dataset.Builder clearImageObjectDetectionDatasetMetadata()

Metadata for a dataset used for image object detection.

.google.cloud.automl.v1.ImageObjectDetectionDatasetMetadata image_object_detection_dataset_metadata = 26;

Returns

Type	Description
Dataset.Builder

clearLabels()

public Dataset.Builder clearLabels()

Returns

Type	Description
Dataset.Builder

clearName()

public Dataset.Builder clearName()

Output only. The resource name of the dataset. Form: projects/{project_id}/locations/{location_id}/datasets/{dataset_id}

string name = 1;

Returns

Type	Description
Dataset.Builder	This builder for chaining.

clearOneof(Descriptors.OneofDescriptor oneof)

public Dataset.Builder clearOneof(Descriptors.OneofDescriptor oneof)

Parameter

Name	Description
oneof	OneofDescriptor

Returns

Type	Description
Dataset.Builder

Overrides

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

clearTextClassificationDatasetMetadata()

public Dataset.Builder clearTextClassificationDatasetMetadata()

Metadata for a dataset used for text classification.

.google.cloud.automl.v1.TextClassificationDatasetMetadata text_classification_dataset_metadata = 25;

Returns

Type	Description
Dataset.Builder

clearTextExtractionDatasetMetadata()

public Dataset.Builder clearTextExtractionDatasetMetadata()

Metadata for a dataset used for text extraction.

.google.cloud.automl.v1.TextExtractionDatasetMetadata text_extraction_dataset_metadata = 28;

Returns

Type	Description
Dataset.Builder

clearTextSentimentDatasetMetadata()

public Dataset.Builder clearTextSentimentDatasetMetadata()

Metadata for a dataset used for text sentiment.

.google.cloud.automl.v1.TextSentimentDatasetMetadata text_sentiment_dataset_metadata = 30;

Returns

Type	Description
Dataset.Builder

clearTranslationDatasetMetadata()

public Dataset.Builder clearTranslationDatasetMetadata()

Metadata for a dataset used for translation.

.google.cloud.automl.v1.TranslationDatasetMetadata translation_dataset_metadata = 23;

Returns

Type	Description
Dataset.Builder

clone()

public Dataset.Builder clone()

Returns

Type	Description
Dataset.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clone()

containsLabels(String key)

public boolean containsLabels(String key)

Optional. The labels with user-defined metadata to organize your dataset. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. Label values are optional. Label keys must start with a letter. See https://goo.gl/xmQnxf for more information on and examples of labels.

map<string, string> labels = 39;

Parameter

Name	Description
key	String

Returns

Type	Description
boolean

getCreateTime()

public Timestamp getCreateTime()

Output only. Timestamp when this dataset was created.

.google.protobuf.Timestamp create_time = 14;

Returns

Type	Description
Timestamp	The createTime.

getCreateTimeBuilder()

public Timestamp.Builder getCreateTimeBuilder()

Output only. Timestamp when this dataset was created.

.google.protobuf.Timestamp create_time = 14;

Returns

Type	Description
Builder

getCreateTimeOrBuilder()

public TimestampOrBuilder getCreateTimeOrBuilder()

Output only. Timestamp when this dataset was created.

.google.protobuf.Timestamp create_time = 14;

Returns

Type	Description
TimestampOrBuilder

getDatasetMetadataCase()

public Dataset.DatasetMetadataCase getDatasetMetadataCase()

Returns

Type	Description
Dataset.DatasetMetadataCase

getDefaultInstanceForType()

public Dataset getDefaultInstanceForType()

Returns

Type	Description
Dataset

getDescription()

public String getDescription()

User-provided description of the dataset. The description can be up to 25000 characters long.

string description = 3;

Returns

Type	Description
String	The description.

getDescriptionBytes()

public ByteString getDescriptionBytes()

User-provided description of the dataset. The description can be up to 25000 characters long.

string description = 3;

Returns

Type	Description
ByteString	The bytes for description.

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()

Returns

Type	Description
Descriptor

Overrides

GeneratedMessageV3.Builder<BuilderType>.getDescriptorForType()

getDisplayName()

public String getDisplayName()

Required. The name of the dataset to show in the interface. The name can be up to 32 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscores (_), and ASCII digits 0-9.

string display_name = 2;

Returns

Type	Description
String	The displayName.

getDisplayNameBytes()

public ByteString getDisplayNameBytes()

Required. The name of the dataset to show in the interface. The name can be up to 32 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscores (_), and ASCII digits 0-9.

string display_name = 2;

Returns

Type	Description
ByteString	The bytes for displayName.

getEtag()

public String getEtag()

Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.

string etag = 17;

Returns

Type	Description
String	The etag.

getEtagBytes()

public ByteString getEtagBytes()

Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.

string etag = 17;

Returns

Type	Description
ByteString	The bytes for etag.

getExampleCount()

public int getExampleCount()

Output only. The number of examples in the dataset.

int32 example_count = 21;

Returns

Type	Description
int	The exampleCount.

getImageClassificationDatasetMetadata()

public ImageClassificationDatasetMetadata getImageClassificationDatasetMetadata()

Metadata for a dataset used for image classification.

.google.cloud.automl.v1.ImageClassificationDatasetMetadata image_classification_dataset_metadata = 24;

Returns

Type	Description
ImageClassificationDatasetMetadata	The imageClassificationDatasetMetadata.

getImageClassificationDatasetMetadataBuilder()

public ImageClassificationDatasetMetadata.Builder getImageClassificationDatasetMetadataBuilder()

Metadata for a dataset used for image classification.

.google.cloud.automl.v1.ImageClassificationDatasetMetadata image_classification_dataset_metadata = 24;

Returns

Type	Description
ImageClassificationDatasetMetadata.Builder

getImageClassificationDatasetMetadataOrBuilder()

public ImageClassificationDatasetMetadataOrBuilder getImageClassificationDatasetMetadataOrBuilder()

Metadata for a dataset used for image classification.

.google.cloud.automl.v1.ImageClassificationDatasetMetadata image_classification_dataset_metadata = 24;

Returns

Type	Description
ImageClassificationDatasetMetadataOrBuilder

getImageObjectDetectionDatasetMetadata()

public ImageObjectDetectionDatasetMetadata getImageObjectDetectionDatasetMetadata()

Metadata for a dataset used for image object detection.

.google.cloud.automl.v1.ImageObjectDetectionDatasetMetadata image_object_detection_dataset_metadata = 26;

Returns

Type	Description
ImageObjectDetectionDatasetMetadata	The imageObjectDetectionDatasetMetadata.

getImageObjectDetectionDatasetMetadataBuilder()

public ImageObjectDetectionDatasetMetadata.Builder getImageObjectDetectionDatasetMetadataBuilder()

Metadata for a dataset used for image object detection.

.google.cloud.automl.v1.ImageObjectDetectionDatasetMetadata image_object_detection_dataset_metadata = 26;

Returns

Type	Description
ImageObjectDetectionDatasetMetadata.Builder

getImageObjectDetectionDatasetMetadataOrBuilder()

public ImageObjectDetectionDatasetMetadataOrBuilder getImageObjectDetectionDatasetMetadataOrBuilder()

Metadata for a dataset used for image object detection.

.google.cloud.automl.v1.ImageObjectDetectionDatasetMetadata image_object_detection_dataset_metadata = 26;

Returns

Type	Description
ImageObjectDetectionDatasetMetadataOrBuilder

getLabels()

public Map<String,String> getLabels()

Use #getLabelsMap() instead.

Returns

Type	Description
Map<String,String>

getLabelsCount()

public int getLabelsCount()

Optional. The labels with user-defined metadata to organize your dataset. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. Label values are optional. Label keys must start with a letter. See https://goo.gl/xmQnxf for more information on and examples of labels.

map<string, string> labels = 39;

Returns

Type	Description
int

getLabelsMap()

public Map<String,String> getLabelsMap()

Optional. The labels with user-defined metadata to organize your dataset. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. Label values are optional. Label keys must start with a letter. See https://goo.gl/xmQnxf for more information on and examples of labels.

map<string, string> labels = 39;

Returns

Type	Description
Map<String,String>

getLabelsOrDefault(String key, String defaultValue)

public String getLabelsOrDefault(String key, String defaultValue)

Optional. The labels with user-defined metadata to organize your dataset. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. Label values are optional. Label keys must start with a letter. See https://goo.gl/xmQnxf for more information on and examples of labels.

map<string, string> labels = 39;

Parameters

Name	Description
key	String
defaultValue	String

Returns

Type	Description
String

getLabelsOrThrow(String key)

public String getLabelsOrThrow(String key)

Optional. The labels with user-defined metadata to organize your dataset. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. Label values are optional. Label keys must start with a letter. See https://goo.gl/xmQnxf for more information on and examples of labels.

map<string, string> labels = 39;

Parameter

Name	Description
key	String

Returns

Type	Description
String

getMutableLabels()

public Map<String,String> getMutableLabels()

Use alternate mutation accessors instead.

Returns

Type	Description
Map<String,String>

getName()

public String getName()

Output only. The resource name of the dataset. Form: projects/{project_id}/locations/{location_id}/datasets/{dataset_id}

string name = 1;

Returns

Type	Description
String	The name.

getNameBytes()

public ByteString getNameBytes()

Output only. The resource name of the dataset. Form: projects/{project_id}/locations/{location_id}/datasets/{dataset_id}

string name = 1;

Returns

Type	Description
ByteString	The bytes for name.

getTextClassificationDatasetMetadata()

public TextClassificationDatasetMetadata getTextClassificationDatasetMetadata()

Metadata for a dataset used for text classification.

.google.cloud.automl.v1.TextClassificationDatasetMetadata text_classification_dataset_metadata = 25;

Returns

Type	Description
TextClassificationDatasetMetadata	The textClassificationDatasetMetadata.

getTextClassificationDatasetMetadataBuilder()

public TextClassificationDatasetMetadata.Builder getTextClassificationDatasetMetadataBuilder()

Metadata for a dataset used for text classification.

.google.cloud.automl.v1.TextClassificationDatasetMetadata text_classification_dataset_metadata = 25;

Returns

Type	Description
TextClassificationDatasetMetadata.Builder

getTextClassificationDatasetMetadataOrBuilder()

public TextClassificationDatasetMetadataOrBuilder getTextClassificationDatasetMetadataOrBuilder()

Metadata for a dataset used for text classification.

.google.cloud.automl.v1.TextClassificationDatasetMetadata text_classification_dataset_metadata = 25;

Returns

Type	Description
TextClassificationDatasetMetadataOrBuilder

getTextExtractionDatasetMetadata()

public TextExtractionDatasetMetadata getTextExtractionDatasetMetadata()

Metadata for a dataset used for text extraction.

.google.cloud.automl.v1.TextExtractionDatasetMetadata text_extraction_dataset_metadata = 28;

Returns

Type	Description
TextExtractionDatasetMetadata	The textExtractionDatasetMetadata.

getTextExtractionDatasetMetadataBuilder()

public TextExtractionDatasetMetadata.Builder getTextExtractionDatasetMetadataBuilder()

Metadata for a dataset used for text extraction.

.google.cloud.automl.v1.TextExtractionDatasetMetadata text_extraction_dataset_metadata = 28;

Returns

Type	Description
TextExtractionDatasetMetadata.Builder

getTextExtractionDatasetMetadataOrBuilder()

public TextExtractionDatasetMetadataOrBuilder getTextExtractionDatasetMetadataOrBuilder()

Metadata for a dataset used for text extraction.

.google.cloud.automl.v1.TextExtractionDatasetMetadata text_extraction_dataset_metadata = 28;

Returns

Type	Description
TextExtractionDatasetMetadataOrBuilder

getTextSentimentDatasetMetadata()

public TextSentimentDatasetMetadata getTextSentimentDatasetMetadata()

Metadata for a dataset used for text sentiment.

.google.cloud.automl.v1.TextSentimentDatasetMetadata text_sentiment_dataset_metadata = 30;

Returns

Type	Description
TextSentimentDatasetMetadata	The textSentimentDatasetMetadata.

getTextSentimentDatasetMetadataBuilder()

public TextSentimentDatasetMetadata.Builder getTextSentimentDatasetMetadataBuilder()

Metadata for a dataset used for text sentiment.

.google.cloud.automl.v1.TextSentimentDatasetMetadata text_sentiment_dataset_metadata = 30;

Returns

Type	Description
TextSentimentDatasetMetadata.Builder

getTextSentimentDatasetMetadataOrBuilder()

public TextSentimentDatasetMetadataOrBuilder getTextSentimentDatasetMetadataOrBuilder()

Metadata for a dataset used for text sentiment.

.google.cloud.automl.v1.TextSentimentDatasetMetadata text_sentiment_dataset_metadata = 30;

Returns

Type	Description
TextSentimentDatasetMetadataOrBuilder

getTranslationDatasetMetadata()

public TranslationDatasetMetadata getTranslationDatasetMetadata()

Metadata for a dataset used for translation.

.google.cloud.automl.v1.TranslationDatasetMetadata translation_dataset_metadata = 23;

Returns

Type	Description
TranslationDatasetMetadata	The translationDatasetMetadata.

getTranslationDatasetMetadataBuilder()

public TranslationDatasetMetadata.Builder getTranslationDatasetMetadataBuilder()

Metadata for a dataset used for translation.

.google.cloud.automl.v1.TranslationDatasetMetadata translation_dataset_metadata = 23;

Returns

Type	Description
TranslationDatasetMetadata.Builder

getTranslationDatasetMetadataOrBuilder()

public TranslationDatasetMetadataOrBuilder getTranslationDatasetMetadataOrBuilder()

Metadata for a dataset used for translation.

.google.cloud.automl.v1.TranslationDatasetMetadata translation_dataset_metadata = 23;

Returns

Type	Description
TranslationDatasetMetadataOrBuilder

hasCreateTime()

public boolean hasCreateTime()

Output only. Timestamp when this dataset was created.

.google.protobuf.Timestamp create_time = 14;

Returns

Type	Description
boolean	Whether the createTime field is set.

hasImageClassificationDatasetMetadata()

public boolean hasImageClassificationDatasetMetadata()

Metadata for a dataset used for image classification.

.google.cloud.automl.v1.ImageClassificationDatasetMetadata image_classification_dataset_metadata = 24;

Returns

Type	Description
boolean	Whether the imageClassificationDatasetMetadata field is set.

hasImageObjectDetectionDatasetMetadata()

public boolean hasImageObjectDetectionDatasetMetadata()

Metadata for a dataset used for image object detection.

.google.cloud.automl.v1.ImageObjectDetectionDatasetMetadata image_object_detection_dataset_metadata = 26;

Returns

Type	Description
boolean	Whether the imageObjectDetectionDatasetMetadata field is set.

hasTextClassificationDatasetMetadata()

public boolean hasTextClassificationDatasetMetadata()

Metadata for a dataset used for text classification.

.google.cloud.automl.v1.TextClassificationDatasetMetadata text_classification_dataset_metadata = 25;

Returns

Type	Description
boolean	Whether the textClassificationDatasetMetadata field is set.

hasTextExtractionDatasetMetadata()

public boolean hasTextExtractionDatasetMetadata()

Metadata for a dataset used for text extraction.

.google.cloud.automl.v1.TextExtractionDatasetMetadata text_extraction_dataset_metadata = 28;

Returns

Type	Description
boolean	Whether the textExtractionDatasetMetadata field is set.

hasTextSentimentDatasetMetadata()

public boolean hasTextSentimentDatasetMetadata()

Metadata for a dataset used for text sentiment.

.google.cloud.automl.v1.TextSentimentDatasetMetadata text_sentiment_dataset_metadata = 30;

Returns

Type	Description
boolean	Whether the textSentimentDatasetMetadata field is set.

hasTranslationDatasetMetadata()

public boolean hasTranslationDatasetMetadata()

Metadata for a dataset used for translation.

.google.cloud.automl.v1.TranslationDatasetMetadata translation_dataset_metadata = 23;

Returns

Type	Description
boolean	Whether the translationDatasetMetadata field is set.

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()

Returns

Type	Description
FieldAccessorTable

Overrides

GeneratedMessageV3.Builder<BuilderType>.internalGetFieldAccessorTable()

internalGetMapField(int number)

protected MapField internalGetMapField(int number)

Parameter

Name	Description
number	int

Returns

Type	Description
MapField

Overrides

GeneratedMessageV3.Builder<BuilderType>.internalGetMapField(int fieldNumber)

internalGetMutableMapField(int number)

protected MapField internalGetMutableMapField(int number)

Parameter

Name	Description
number	int

Returns

Type	Description
MapField

Overrides

GeneratedMessageV3.Builder<BuilderType>.internalGetMutableMapField(int fieldNumber)

isInitialized()

public final boolean isInitialized()

Returns

Type	Description
boolean

Overrides

GeneratedMessageV3.Builder<BuilderType>.isInitialized()

mergeCreateTime(Timestamp value)

public Dataset.Builder mergeCreateTime(Timestamp value)

Output only. Timestamp when this dataset was created.

.google.protobuf.Timestamp create_time = 14;

Parameter

Name	Description
value	Timestamp

Returns

Type	Description
Dataset.Builder

mergeFrom(Dataset other)

public Dataset.Builder mergeFrom(Dataset other)

Parameter

Name	Description
other	Dataset

Returns

Type	Description
Dataset.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

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

Parameters

Name	Description
input	CodedInputStream
extensionRegistry	ExtensionRegistryLite

Returns

Type	Description
Dataset.Builder

Overrides

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

Exceptions

Type	Description
IOException

mergeFrom(Message other)

public Dataset.Builder mergeFrom(Message other)

Parameter

Name	Description
other	Message

Returns

Type	Description
Dataset.Builder

Overrides

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

mergeImageClassificationDatasetMetadata(ImageClassificationDatasetMetadata value)

public Dataset.Builder mergeImageClassificationDatasetMetadata(ImageClassificationDatasetMetadata value)

Metadata for a dataset used for image classification.

.google.cloud.automl.v1.ImageClassificationDatasetMetadata image_classification_dataset_metadata = 24;

Parameter

Name	Description
value	ImageClassificationDatasetMetadata

Returns

Type	Description
Dataset.Builder

mergeImageObjectDetectionDatasetMetadata(ImageObjectDetectionDatasetMetadata value)

public Dataset.Builder mergeImageObjectDetectionDatasetMetadata(ImageObjectDetectionDatasetMetadata value)

Metadata for a dataset used for image object detection.

.google.cloud.automl.v1.ImageObjectDetectionDatasetMetadata image_object_detection_dataset_metadata = 26;

Parameter

Name	Description
value	ImageObjectDetectionDatasetMetadata

Returns

Type	Description
Dataset.Builder

mergeTextClassificationDatasetMetadata(TextClassificationDatasetMetadata value)

public Dataset.Builder mergeTextClassificationDatasetMetadata(TextClassificationDatasetMetadata value)

Metadata for a dataset used for text classification.

.google.cloud.automl.v1.TextClassificationDatasetMetadata text_classification_dataset_metadata = 25;

Parameter

Name	Description
value	TextClassificationDatasetMetadata

Returns

Type	Description
Dataset.Builder

mergeTextExtractionDatasetMetadata(TextExtractionDatasetMetadata value)

public Dataset.Builder mergeTextExtractionDatasetMetadata(TextExtractionDatasetMetadata value)

Metadata for a dataset used for text extraction.

.google.cloud.automl.v1.TextExtractionDatasetMetadata text_extraction_dataset_metadata = 28;

Parameter

Name	Description
value	TextExtractionDatasetMetadata

Returns

Type	Description
Dataset.Builder

mergeTextSentimentDatasetMetadata(TextSentimentDatasetMetadata value)

public Dataset.Builder mergeTextSentimentDatasetMetadata(TextSentimentDatasetMetadata value)

Metadata for a dataset used for text sentiment.

.google.cloud.automl.v1.TextSentimentDatasetMetadata text_sentiment_dataset_metadata = 30;

Parameter

Name	Description
value	TextSentimentDatasetMetadata

Returns

Type	Description
Dataset.Builder

mergeTranslationDatasetMetadata(TranslationDatasetMetadata value)

public Dataset.Builder mergeTranslationDatasetMetadata(TranslationDatasetMetadata value)

Metadata for a dataset used for translation.

.google.cloud.automl.v1.TranslationDatasetMetadata translation_dataset_metadata = 23;

Parameter

Name	Description
value	TranslationDatasetMetadata

Returns

Type	Description
Dataset.Builder

mergeUnknownFields(UnknownFieldSet unknownFields)

public final Dataset.Builder mergeUnknownFields(UnknownFieldSet unknownFields)

Parameter

Name	Description
unknownFields	UnknownFieldSet

Returns

Type	Description
Dataset.Builder

Overrides

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

putAllLabels(Map<String,String> values)

public Dataset.Builder putAllLabels(Map<String,String> values)

Optional. The labels with user-defined metadata to organize your dataset. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. Label values are optional. Label keys must start with a letter. See https://goo.gl/xmQnxf for more information on and examples of labels.

map<string, string> labels = 39;

Parameter

Name	Description
values	Map<String,String>

Returns

Type	Description
Dataset.Builder

putLabels(String key, String value)

public Dataset.Builder putLabels(String key, String value)

Optional. The labels with user-defined metadata to organize your dataset. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. Label values are optional. Label keys must start with a letter. See https://goo.gl/xmQnxf for more information on and examples of labels.

map<string, string> labels = 39;

Parameters

Name	Description
key	String
value	String

Returns

Type	Description
Dataset.Builder

removeLabels(String key)

public Dataset.Builder removeLabels(String key)

Optional. The labels with user-defined metadata to organize your dataset. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. Label values are optional. Label keys must start with a letter. See https://goo.gl/xmQnxf for more information on and examples of labels.

map<string, string> labels = 39;

Parameter

Name	Description
key	String

Returns

Type	Description
Dataset.Builder

setCreateTime(Timestamp value)

public Dataset.Builder setCreateTime(Timestamp value)

Output only. Timestamp when this dataset was created.

.google.protobuf.Timestamp create_time = 14;

Parameter

Name	Description
value	Timestamp

Returns

Type	Description
Dataset.Builder

setCreateTime(Timestamp.Builder builderForValue)

public Dataset.Builder setCreateTime(Timestamp.Builder builderForValue)

Output only. Timestamp when this dataset was created.

.google.protobuf.Timestamp create_time = 14;

Parameter

Name	Description
builderForValue	Builder

Returns

Type	Description
Dataset.Builder

setDescription(String value)

public Dataset.Builder setDescription(String value)

User-provided description of the dataset. The description can be up to 25000 characters long.

string description = 3;

Parameter

Name	Description
value	String The description to set.

Returns

Type	Description
Dataset.Builder	This builder for chaining.

setDescriptionBytes(ByteString value)

public Dataset.Builder setDescriptionBytes(ByteString value)

User-provided description of the dataset. The description can be up to 25000 characters long.

string description = 3;

Parameter

Name	Description
value	ByteString The bytes for description to set.

Returns

Type	Description
Dataset.Builder	This builder for chaining.

setDisplayName(String value)

public Dataset.Builder setDisplayName(String value)

Required. The name of the dataset to show in the interface. The name can be up to 32 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscores (_), and ASCII digits 0-9.

string display_name = 2;

Parameter

Name	Description
value	String The displayName to set.

Returns

Type	Description
Dataset.Builder	This builder for chaining.

setDisplayNameBytes(ByteString value)

public Dataset.Builder setDisplayNameBytes(ByteString value)

Required. The name of the dataset to show in the interface. The name can be up to 32 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscores (_), and ASCII digits 0-9.

string display_name = 2;

Parameter

Name	Description
value	ByteString The bytes for displayName to set.

Returns

Type	Description
Dataset.Builder	This builder for chaining.

setEtag(String value)

public Dataset.Builder setEtag(String value)

Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.

string etag = 17;

Parameter

Name	Description
value	String The etag to set.

Returns

Type	Description
Dataset.Builder	This builder for chaining.

setEtagBytes(ByteString value)

public Dataset.Builder setEtagBytes(ByteString value)

Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.

string etag = 17;

Parameter

Name	Description
value	ByteString The bytes for etag to set.

Returns

Type	Description
Dataset.Builder	This builder for chaining.

setExampleCount(int value)

public Dataset.Builder setExampleCount(int value)

Output only. The number of examples in the dataset.

int32 example_count = 21;

Parameter

Name	Description
value	int The exampleCount to set.

Returns

Type	Description
Dataset.Builder	This builder for chaining.

setField(Descriptors.FieldDescriptor field, Object value)

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

Parameters

Name	Description
field	FieldDescriptor
value	Object

Returns

Type	Description
Dataset.Builder

Overrides

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

setImageClassificationDatasetMetadata(ImageClassificationDatasetMetadata value)

public Dataset.Builder setImageClassificationDatasetMetadata(ImageClassificationDatasetMetadata value)

Metadata for a dataset used for image classification.

.google.cloud.automl.v1.ImageClassificationDatasetMetadata image_classification_dataset_metadata = 24;

Parameter

Name	Description
value	ImageClassificationDatasetMetadata

Returns

Type	Description
Dataset.Builder

setImageClassificationDatasetMetadata(ImageClassificationDatasetMetadata.Builder builderForValue)

public Dataset.Builder setImageClassificationDatasetMetadata(ImageClassificationDatasetMetadata.Builder builderForValue)

Metadata for a dataset used for image classification.

.google.cloud.automl.v1.ImageClassificationDatasetMetadata image_classification_dataset_metadata = 24;

Parameter

Name	Description
builderForValue	ImageClassificationDatasetMetadata.Builder

Returns

Type	Description
Dataset.Builder

setImageObjectDetectionDatasetMetadata(ImageObjectDetectionDatasetMetadata value)

public Dataset.Builder setImageObjectDetectionDatasetMetadata(ImageObjectDetectionDatasetMetadata value)

Metadata for a dataset used for image object detection.

.google.cloud.automl.v1.ImageObjectDetectionDatasetMetadata image_object_detection_dataset_metadata = 26;

Parameter

Name	Description
value	ImageObjectDetectionDatasetMetadata

Returns

Type	Description
Dataset.Builder

setImageObjectDetectionDatasetMetadata(ImageObjectDetectionDatasetMetadata.Builder builderForValue)

public Dataset.Builder setImageObjectDetectionDatasetMetadata(ImageObjectDetectionDatasetMetadata.Builder builderForValue)

Metadata for a dataset used for image object detection.

.google.cloud.automl.v1.ImageObjectDetectionDatasetMetadata image_object_detection_dataset_metadata = 26;

Parameter

Name	Description
builderForValue	ImageObjectDetectionDatasetMetadata.Builder

Returns

Type	Description
Dataset.Builder

setName(String value)

public Dataset.Builder setName(String value)

Output only. The resource name of the dataset. Form: projects/{project_id}/locations/{location_id}/datasets/{dataset_id}

string name = 1;

Parameter

Name	Description
value	String The name to set.

Returns

Type	Description
Dataset.Builder	This builder for chaining.

setNameBytes(ByteString value)

public Dataset.Builder setNameBytes(ByteString value)

Output only. The resource name of the dataset. Form: projects/{project_id}/locations/{location_id}/datasets/{dataset_id}

string name = 1;

Parameter

Name	Description
value	ByteString The bytes for name to set.

Returns

Type	Description
Dataset.Builder	This builder for chaining.

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

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

Parameters

Name	Description
field	FieldDescriptor
index	int
value	Object

Returns

Type	Description
Dataset.Builder

Overrides

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

setTextClassificationDatasetMetadata(TextClassificationDatasetMetadata value)

public Dataset.Builder setTextClassificationDatasetMetadata(TextClassificationDatasetMetadata value)

Metadata for a dataset used for text classification.

.google.cloud.automl.v1.TextClassificationDatasetMetadata text_classification_dataset_metadata = 25;

Parameter

Name	Description
value	TextClassificationDatasetMetadata

Returns

Type	Description
Dataset.Builder

setTextClassificationDatasetMetadata(TextClassificationDatasetMetadata.Builder builderForValue)

public Dataset.Builder setTextClassificationDatasetMetadata(TextClassificationDatasetMetadata.Builder builderForValue)

Metadata for a dataset used for text classification.

.google.cloud.automl.v1.TextClassificationDatasetMetadata text_classification_dataset_metadata = 25;

Parameter

Name	Description
builderForValue	TextClassificationDatasetMetadata.Builder

Returns

Type	Description
Dataset.Builder

setTextExtractionDatasetMetadata(TextExtractionDatasetMetadata value)

public Dataset.Builder setTextExtractionDatasetMetadata(TextExtractionDatasetMetadata value)

Metadata for a dataset used for text extraction.

.google.cloud.automl.v1.TextExtractionDatasetMetadata text_extraction_dataset_metadata = 28;

Parameter

Name	Description
value	TextExtractionDatasetMetadata

Returns

Type	Description
Dataset.Builder

setTextExtractionDatasetMetadata(TextExtractionDatasetMetadata.Builder builderForValue)

public Dataset.Builder setTextExtractionDatasetMetadata(TextExtractionDatasetMetadata.Builder builderForValue)

Metadata for a dataset used for text extraction.

.google.cloud.automl.v1.TextExtractionDatasetMetadata text_extraction_dataset_metadata = 28;

Parameter

Name	Description
builderForValue	TextExtractionDatasetMetadata.Builder

Returns

Type	Description
Dataset.Builder

setTextSentimentDatasetMetadata(TextSentimentDatasetMetadata value)

public Dataset.Builder setTextSentimentDatasetMetadata(TextSentimentDatasetMetadata value)

Metadata for a dataset used for text sentiment.

.google.cloud.automl.v1.TextSentimentDatasetMetadata text_sentiment_dataset_metadata = 30;

Parameter

Name	Description
value	TextSentimentDatasetMetadata

Returns

Type	Description
Dataset.Builder

setTextSentimentDatasetMetadata(TextSentimentDatasetMetadata.Builder builderForValue)

public Dataset.Builder setTextSentimentDatasetMetadata(TextSentimentDatasetMetadata.Builder builderForValue)

Metadata for a dataset used for text sentiment.

.google.cloud.automl.v1.TextSentimentDatasetMetadata text_sentiment_dataset_metadata = 30;

Parameter

Name	Description
builderForValue	TextSentimentDatasetMetadata.Builder

Returns

Type	Description
Dataset.Builder

setTranslationDatasetMetadata(TranslationDatasetMetadata value)

public Dataset.Builder setTranslationDatasetMetadata(TranslationDatasetMetadata value)

Metadata for a dataset used for translation.

.google.cloud.automl.v1.TranslationDatasetMetadata translation_dataset_metadata = 23;

Parameter

Name	Description
value	TranslationDatasetMetadata

Returns

Type	Description
Dataset.Builder

setTranslationDatasetMetadata(TranslationDatasetMetadata.Builder builderForValue)

public Dataset.Builder setTranslationDatasetMetadata(TranslationDatasetMetadata.Builder builderForValue)

Metadata for a dataset used for translation.

.google.cloud.automl.v1.TranslationDatasetMetadata translation_dataset_metadata = 23;

Parameter

Name	Description
builderForValue	TranslationDatasetMetadata.Builder

Returns

Type	Description
Dataset.Builder

setUnknownFields(UnknownFieldSet unknownFields)

public final Dataset.Builder setUnknownFields(UnknownFieldSet unknownFields)

Parameter

Name	Description
unknownFields	UnknownFieldSet

Returns

Type	Description
Dataset.Builder

Overrides

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