Class Dataset (2.3.1)

public final class Dataset extends GeneratedMessageV3 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

Implements

DatasetOrBuilder

Static Fields

CREATE_TIME_FIELD_NUMBER

public static final int CREATE_TIME_FIELD_NUMBER
Field Value
TypeDescription
int

DESCRIPTION_FIELD_NUMBER

public static final int DESCRIPTION_FIELD_NUMBER
Field Value
TypeDescription
int

DISPLAY_NAME_FIELD_NUMBER

public static final int DISPLAY_NAME_FIELD_NUMBER
Field Value
TypeDescription
int

ETAG_FIELD_NUMBER

public static final int ETAG_FIELD_NUMBER
Field Value
TypeDescription
int

EXAMPLE_COUNT_FIELD_NUMBER

public static final int EXAMPLE_COUNT_FIELD_NUMBER
Field Value
TypeDescription
int

IMAGE_CLASSIFICATION_DATASET_METADATA_FIELD_NUMBER

public static final int IMAGE_CLASSIFICATION_DATASET_METADATA_FIELD_NUMBER
Field Value
TypeDescription
int

IMAGE_OBJECT_DETECTION_DATASET_METADATA_FIELD_NUMBER

public static final int IMAGE_OBJECT_DETECTION_DATASET_METADATA_FIELD_NUMBER
Field Value
TypeDescription
int

LABELS_FIELD_NUMBER

public static final int LABELS_FIELD_NUMBER
Field Value
TypeDescription
int

NAME_FIELD_NUMBER

public static final int NAME_FIELD_NUMBER
Field Value
TypeDescription
int

TEXT_CLASSIFICATION_DATASET_METADATA_FIELD_NUMBER

public static final int TEXT_CLASSIFICATION_DATASET_METADATA_FIELD_NUMBER
Field Value
TypeDescription
int

TEXT_EXTRACTION_DATASET_METADATA_FIELD_NUMBER

public static final int TEXT_EXTRACTION_DATASET_METADATA_FIELD_NUMBER
Field Value
TypeDescription
int

TEXT_SENTIMENT_DATASET_METADATA_FIELD_NUMBER

public static final int TEXT_SENTIMENT_DATASET_METADATA_FIELD_NUMBER
Field Value
TypeDescription
int

TRANSLATION_DATASET_METADATA_FIELD_NUMBER

public static final int TRANSLATION_DATASET_METADATA_FIELD_NUMBER
Field Value
TypeDescription
int

Static Methods

getDefaultInstance()

public static Dataset getDefaultInstance()
Returns
TypeDescription
Dataset

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()
Returns
TypeDescription
Descriptor

newBuilder()

public static Dataset.Builder newBuilder()
Returns
TypeDescription
Dataset.Builder

newBuilder(Dataset prototype)

public static Dataset.Builder newBuilder(Dataset prototype)
Parameter
NameDescription
prototypeDataset
Returns
TypeDescription
Dataset.Builder

parseDelimitedFrom(InputStream input)

public static Dataset parseDelimitedFrom(InputStream input)
Parameter
NameDescription
inputInputStream
Returns
TypeDescription
Dataset
Exceptions
TypeDescription
IOException

parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static Dataset parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
inputInputStream
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
Dataset
Exceptions
TypeDescription
IOException

parseFrom(byte[] data)

public static Dataset parseFrom(byte[] data)
Parameter
NameDescription
databyte[]
Returns
TypeDescription
Dataset
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)

public static Dataset parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
databyte[]
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
Dataset
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(ByteString data)

public static Dataset parseFrom(ByteString data)
Parameter
NameDescription
dataByteString
Returns
TypeDescription
Dataset
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)

public static Dataset parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
dataByteString
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
Dataset
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(CodedInputStream input)

public static Dataset parseFrom(CodedInputStream input)
Parameter
NameDescription
inputCodedInputStream
Returns
TypeDescription
Dataset
Exceptions
TypeDescription
IOException

parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public static Dataset parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
inputCodedInputStream
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
Dataset
Exceptions
TypeDescription
IOException

parseFrom(InputStream input)

public static Dataset parseFrom(InputStream input)
Parameter
NameDescription
inputInputStream
Returns
TypeDescription
Dataset
Exceptions
TypeDescription
IOException

parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static Dataset parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
inputInputStream
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
Dataset
Exceptions
TypeDescription
IOException

parseFrom(ByteBuffer data)

public static Dataset parseFrom(ByteBuffer data)
Parameter
NameDescription
dataByteBuffer
Returns
TypeDescription
Dataset
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)

public static Dataset parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
dataByteBuffer
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
Dataset
Exceptions
TypeDescription
InvalidProtocolBufferException

parser()

public static Parser<Dataset> parser()
Returns
TypeDescription
Parser<Dataset>

Methods

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
NameDescription
keyString
Returns
TypeDescription
boolean

equals(Object obj)

public boolean equals(Object obj)
Parameter
NameDescription
objObject
Returns
TypeDescription
boolean
Overrides

getCreateTime()

public Timestamp getCreateTime()

Output only. Timestamp when this dataset was created.

.google.protobuf.Timestamp create_time = 14;

Returns
TypeDescription
Timestamp

The createTime.

getCreateTimeOrBuilder()

public TimestampOrBuilder getCreateTimeOrBuilder()

Output only. Timestamp when this dataset was created.

.google.protobuf.Timestamp create_time = 14;

Returns
TypeDescription
TimestampOrBuilder

getDatasetMetadataCase()

public Dataset.DatasetMetadataCase getDatasetMetadataCase()
Returns
TypeDescription
Dataset.DatasetMetadataCase

getDefaultInstanceForType()

public Dataset getDefaultInstanceForType()
Returns
TypeDescription
Dataset

getDescription()

public String getDescription()

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

string description = 3;

Returns
TypeDescription
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
TypeDescription
ByteString

The bytes for description.

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
TypeDescription
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
TypeDescription
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
TypeDescription
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
TypeDescription
ByteString

The bytes for etag.

getExampleCount()

public int getExampleCount()

Output only. The number of examples in the dataset.

int32 example_count = 21;

Returns
TypeDescription
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
TypeDescription
ImageClassificationDatasetMetadata

The imageClassificationDatasetMetadata.

getImageClassificationDatasetMetadataOrBuilder()

public ImageClassificationDatasetMetadataOrBuilder getImageClassificationDatasetMetadataOrBuilder()

Metadata for a dataset used for image classification.

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

Returns
TypeDescription
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
TypeDescription
ImageObjectDetectionDatasetMetadata

The imageObjectDetectionDatasetMetadata.

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
TypeDescription
ImageObjectDetectionDatasetMetadataOrBuilder

getLabels()

public Map<String,String> getLabels()

Use #getLabelsMap() instead.

Returns
TypeDescription
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
TypeDescription
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
TypeDescription
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
NameDescription
keyString
defaultValueString
Returns
TypeDescription
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
NameDescription
keyString
Returns
TypeDescription
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
TypeDescription
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
TypeDescription
ByteString

The bytes for name.

getParserForType()

public Parser<Dataset> getParserForType()
Returns
TypeDescription
Parser<Dataset>
Overrides

getSerializedSize()

public int getSerializedSize()
Returns
TypeDescription
int
Overrides

getTextClassificationDatasetMetadata()

public TextClassificationDatasetMetadata getTextClassificationDatasetMetadata()

Metadata for a dataset used for text classification.

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

Returns
TypeDescription
TextClassificationDatasetMetadata

The textClassificationDatasetMetadata.

getTextClassificationDatasetMetadataOrBuilder()

public TextClassificationDatasetMetadataOrBuilder getTextClassificationDatasetMetadataOrBuilder()

Metadata for a dataset used for text classification.

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

Returns
TypeDescription
TextClassificationDatasetMetadataOrBuilder

getTextExtractionDatasetMetadata()

public TextExtractionDatasetMetadata getTextExtractionDatasetMetadata()

Metadata for a dataset used for text extraction.

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

Returns
TypeDescription
TextExtractionDatasetMetadata

The textExtractionDatasetMetadata.

getTextExtractionDatasetMetadataOrBuilder()

public TextExtractionDatasetMetadataOrBuilder getTextExtractionDatasetMetadataOrBuilder()

Metadata for a dataset used for text extraction.

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

Returns
TypeDescription
TextExtractionDatasetMetadataOrBuilder

getTextSentimentDatasetMetadata()

public TextSentimentDatasetMetadata getTextSentimentDatasetMetadata()

Metadata for a dataset used for text sentiment.

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

Returns
TypeDescription
TextSentimentDatasetMetadata

The textSentimentDatasetMetadata.

getTextSentimentDatasetMetadataOrBuilder()

public TextSentimentDatasetMetadataOrBuilder getTextSentimentDatasetMetadataOrBuilder()

Metadata for a dataset used for text sentiment.

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

Returns
TypeDescription
TextSentimentDatasetMetadataOrBuilder

getTranslationDatasetMetadata()

public TranslationDatasetMetadata getTranslationDatasetMetadata()

Metadata for a dataset used for translation.

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

Returns
TypeDescription
TranslationDatasetMetadata

The translationDatasetMetadata.

getTranslationDatasetMetadataOrBuilder()

public TranslationDatasetMetadataOrBuilder getTranslationDatasetMetadataOrBuilder()

Metadata for a dataset used for translation.

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

Returns
TypeDescription
TranslationDatasetMetadataOrBuilder

getUnknownFields()

public final UnknownFieldSet getUnknownFields()
Returns
TypeDescription
UnknownFieldSet
Overrides

hasCreateTime()

public boolean hasCreateTime()

Output only. Timestamp when this dataset was created.

.google.protobuf.Timestamp create_time = 14;

Returns
TypeDescription
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
TypeDescription
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
TypeDescription
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
TypeDescription
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
TypeDescription
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
TypeDescription
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
TypeDescription
boolean

Whether the translationDatasetMetadata field is set.

hashCode()

public int hashCode()
Returns
TypeDescription
int
Overrides

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
TypeDescription
FieldAccessorTable
Overrides

internalGetMapField(int number)

protected MapField internalGetMapField(int number)
Parameter
NameDescription
numberint
Returns
TypeDescription
MapField
Overrides

isInitialized()

public final boolean isInitialized()
Returns
TypeDescription
boolean
Overrides

newBuilderForType()

public Dataset.Builder newBuilderForType()
Returns
TypeDescription
Dataset.Builder

newBuilderForType(GeneratedMessageV3.BuilderParent parent)

protected Dataset.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
Parameter
NameDescription
parentBuilderParent
Returns
TypeDescription
Dataset.Builder
Overrides

newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)

protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
Parameter
NameDescription
unusedUnusedPrivateParameter
Returns
TypeDescription
Object
Overrides

toBuilder()

public Dataset.Builder toBuilder()
Returns
TypeDescription
Dataset.Builder

writeTo(CodedOutputStream output)

public void writeTo(CodedOutputStream output)
Parameter
NameDescription
outputCodedOutputStream
Overrides Exceptions
TypeDescription
IOException