Class Dataset.Builder (2.53.0)

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)

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)

com.google.protobuf.GeneratedMessageV3.Builder.internalGetMapFieldReflection(int)

GeneratedMessageV3.Builder.internalGetMutableMapField(int)

com.google.protobuf.GeneratedMessageV3.Builder.internalGetMutableMapFieldReflection(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

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() (deprecated)

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.

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.

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.

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.

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() (deprecated)

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()

internalGetMapFieldReflection(int number)

protected MapFieldReflectionAccessor internalGetMapFieldReflection(int number)

Parameter
Name	Description
`number`	`int`

Returns
Type	Description
`com.google.protobuf.MapFieldReflectionAccessor`

Overrides

com.google.protobuf.GeneratedMessageV3.Builder.internalGetMapFieldReflection(int)

internalGetMutableMapFieldReflection(int number)

protected MapFieldReflectionAccessor internalGetMutableMapFieldReflection(int number)

Parameter
Name	Description
`number`	`int`

Returns
Type	Description
`com.google.protobuf.MapFieldReflectionAccessor`

Overrides

com.google.protobuf.GeneratedMessageV3.Builder.internalGetMutableMapFieldReflection(int)

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.

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.

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.

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)