Interface DatasetOrBuilder (2.2.2)

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
TypeDescription
Timestamp

The createTime.

getCreateTimeOrBuilder()

public abstract TimestampOrBuilder getCreateTimeOrBuilder()

Output only. Timestamp when this dataset was created.

.google.protobuf.Timestamp create_time = 14;

Returns
TypeDescription
TimestampOrBuilder

getDatasetMetadataCase()

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

The bytes for etag.

getExampleCount()

public abstract int getExampleCount()

Output only. The number of examples in the dataset.

int32 example_count = 21;

Returns
TypeDescription
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
TypeDescription
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
TypeDescription
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
TypeDescription
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
TypeDescription
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
TypeDescription
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
TypeDescription
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
TypeDescription
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
TypeDescription
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
TypeDescription
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
TypeDescription
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
TypeDescription
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
TypeDescription
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
TypeDescription
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
TypeDescription
TextSentimentDatasetMetadataOrBuilder

getTranslationDatasetMetadata()

public abstract TranslationDatasetMetadata getTranslationDatasetMetadata()

Metadata for a dataset used for translation.

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

Returns
TypeDescription
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
TypeDescription
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
TypeDescription
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
TypeDescription
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
TypeDescription
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
TypeDescription
VideoObjectTrackingDatasetMetadataOrBuilder

hasCreateTime()

public abstract 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 abstract boolean hasImageClassificationDatasetMetadata()

Metadata for a dataset used for image classification.

.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata image_classification_dataset_metadata = 24;

Returns
TypeDescription
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
TypeDescription
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
TypeDescription
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
TypeDescription
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
TypeDescription
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
TypeDescription
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
TypeDescription
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
TypeDescription
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
TypeDescription
boolean

Whether the videoObjectTrackingDatasetMetadata field is set.