Interface DatasetOrBuilder (2.8.0)

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public interface DatasetOrBuilder extends MessageOrBuilder

Implements

MessageOrBuilder

Methods

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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.ImageObjectDetectionDatasetMetadata image_object_detection_dataset_metadata = 26;

Returns

Type	Description
ImageObjectDetectionDatasetMetadataOrBuilder

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.

getTablesDatasetMetadata()

public abstract TablesDatasetMetadata getTablesDatasetMetadata()

Metadata for a dataset used for Tables.

.google.cloud.automl.v1beta1.TablesDatasetMetadata tables_dataset_metadata = 33;

Returns

Type	Description
TablesDatasetMetadata	The tablesDatasetMetadata.

getTablesDatasetMetadataOrBuilder()

public abstract TablesDatasetMetadataOrBuilder getTablesDatasetMetadataOrBuilder()

Metadata for a dataset used for Tables.

.google.cloud.automl.v1beta1.TablesDatasetMetadata tables_dataset_metadata = 33;

Returns

Type	Description
TablesDatasetMetadataOrBuilder

getTextClassificationDatasetMetadata()

public abstract TextClassificationDatasetMetadata getTextClassificationDatasetMetadata()

Metadata for a dataset used for text classification.

.google.cloud.automl.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.TranslationDatasetMetadata translation_dataset_metadata = 23;

Returns

Type	Description
TranslationDatasetMetadataOrBuilder

getVideoClassificationDatasetMetadata()

public abstract VideoClassificationDatasetMetadata getVideoClassificationDatasetMetadata()

Metadata for a dataset used for video classification.

.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata video_classification_dataset_metadata = 31;

Returns

Type	Description
VideoClassificationDatasetMetadata	The videoClassificationDatasetMetadata.

getVideoClassificationDatasetMetadataOrBuilder()

public abstract VideoClassificationDatasetMetadataOrBuilder getVideoClassificationDatasetMetadataOrBuilder()

Metadata for a dataset used for video classification.

.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata video_classification_dataset_metadata = 31;

Returns

Type	Description
VideoClassificationDatasetMetadataOrBuilder

getVideoObjectTrackingDatasetMetadata()

public abstract VideoObjectTrackingDatasetMetadata getVideoObjectTrackingDatasetMetadata()

Metadata for a dataset used for video object tracking.

.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata video_object_tracking_dataset_metadata = 29;

Returns

Type	Description
VideoObjectTrackingDatasetMetadata	The videoObjectTrackingDatasetMetadata.

getVideoObjectTrackingDatasetMetadataOrBuilder()

public abstract VideoObjectTrackingDatasetMetadataOrBuilder getVideoObjectTrackingDatasetMetadataOrBuilder()

Metadata for a dataset used for video object tracking.

.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata video_object_tracking_dataset_metadata = 29;

Returns

Type	Description
VideoObjectTrackingDatasetMetadataOrBuilder

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.v1beta1.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.v1beta1.ImageObjectDetectionDatasetMetadata image_object_detection_dataset_metadata = 26;

Returns

Type	Description
boolean	Whether the imageObjectDetectionDatasetMetadata field is set.

hasTablesDatasetMetadata()

public abstract boolean hasTablesDatasetMetadata()

Metadata for a dataset used for Tables.

.google.cloud.automl.v1beta1.TablesDatasetMetadata tables_dataset_metadata = 33;

Returns

Type	Description
boolean	Whether the tablesDatasetMetadata field is set.

hasTextClassificationDatasetMetadata()

public abstract boolean hasTextClassificationDatasetMetadata()

Metadata for a dataset used for text classification.

.google.cloud.automl.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.TranslationDatasetMetadata translation_dataset_metadata = 23;

Returns

Type	Description
boolean	Whether the translationDatasetMetadata field is set.

hasVideoClassificationDatasetMetadata()

public abstract boolean hasVideoClassificationDatasetMetadata()

Metadata for a dataset used for video classification.

.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata video_classification_dataset_metadata = 31;

Returns

Type	Description
boolean	Whether the videoClassificationDatasetMetadata field is set.

hasVideoObjectTrackingDatasetMetadata()

public abstract boolean hasVideoObjectTrackingDatasetMetadata()

Metadata for a dataset used for video object tracking.

.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata video_object_tracking_dataset_metadata = 29;

Returns

Type	Description
boolean	Whether the videoObjectTrackingDatasetMetadata field is set.