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public interface DatasetOrBuilder extends MessageOrBuilderImplements
MessageOrBuilderMethods
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() (deprecated)
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. |