Interface DatasetOrBuilder (2.15.0)

Version 2.15.0

• 2.53.0 (latest)
• 2.52.0
• 2.51.0
• 2.49.0
• 2.48.0
• 2.47.0
• 2.46.0
• 2.45.0
• 2.44.0
• 2.43.0
• 2.42.0
• 2.41.0
• 2.40.0
• 2.39.0
• 2.37.0
• 2.36.0
• 2.35.0
• 2.34.0
• 2.33.0
• 2.32.0
• 2.31.0
• 2.30.0
• 2.29.0
• 2.28.0
• 2.27.0
• 2.24.0
• 2.23.0
• 2.22.0
• 2.21.0
• 2.20.0
• 2.19.0
• 2.18.0
• 2.17.0
• 2.16.0
• 2.15.0
• 2.14.0
• 2.13.0
• 2.12.0
• 2.11.0
• 2.10.0
• 2.9.0
• 2.8.0
• 2.7.0
• 2.6.0
• 2.5.0
• 2.4.0
• 2.3.18
• 2.2.3
• 2.1.23

public interface DatasetOrBuilder extends MessageOrBuilder

Implements

MessageOrBuilder

Methods

containsLabels(String key)

public abstract 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 abstract Timestamp getCreateTime()

Output only. Timestamp when this dataset was created.

.google.protobuf.Timestamp create_time = 14;

Returns
Type	Description
Timestamp	The createTime.

getCreateTimeOrBuilder()

public abstract TimestampOrBuilder getCreateTimeOrBuilder()

Output only. Timestamp when this dataset was created.

.google.protobuf.Timestamp create_time = 14;

Returns
Type	Description
TimestampOrBuilder

getDatasetMetadataCase()

public abstract Dataset.DatasetMetadataCase getDatasetMetadataCase()

Returns
Type	Description
Dataset.DatasetMetadataCase

getDescription()

public abstract 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 abstract 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.

getDisplayName()

public abstract 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 abstract 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 abstract 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 abstract 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 abstract int getExampleCount()

Output only. The number of examples in the dataset.

int32 example_count = 21;

Returns
Type	Description
int	The exampleCount.

getImageClassificationDatasetMetadata()

public abstract 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.

getImageClassificationDatasetMetadataOrBuilder()

public abstract 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 abstract 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.

getImageObjectDetectionDatasetMetadataOrBuilder()

public abstract 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 abstract Map<String,String> getLabels()

Use #getLabelsMap() instead.

Returns
Type	Description
Map<String,String>

getLabelsCount()

public abstract 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 abstract 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 abstract 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 abstract 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

getName()

public abstract 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 abstract 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 abstract 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.

getTextClassificationDatasetMetadataOrBuilder()

public abstract 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 abstract 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.

getTextExtractionDatasetMetadataOrBuilder()

public abstract 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 abstract 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.

getTextSentimentDatasetMetadataOrBuilder()

public abstract 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 abstract TranslationDatasetMetadata getTranslationDatasetMetadata()

Metadata for a dataset used for translation.

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

Returns
Type	Description
TranslationDatasetMetadata	The translationDatasetMetadata.

getTranslationDatasetMetadataOrBuilder()

public abstract TranslationDatasetMetadataOrBuilder getTranslationDatasetMetadataOrBuilder()

Metadata for a dataset used for translation.

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

Returns
Type	Description
TranslationDatasetMetadataOrBuilder

hasCreateTime()

public abstract 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 abstract 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 abstract 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 abstract 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 abstract 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 abstract 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 abstract 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.