Reference documentation and code samples for the Cloud AutoML V1beta1 API class Google::Cloud::AutoML::V1beta1::Dataset.
A workspace for solving a single, particular machine learning (ML) problem. A workspace contains examples that may be annotated.
Inherits
- Object
Extended By
- Google::Protobuf::MessageExts::ClassMethods
Includes
- Google::Protobuf::MessageExts
Methods
#create_time
def create_time() -> ::Google::Protobuf::Timestamp
Returns
- (::Google::Protobuf::Timestamp) — Output only. Timestamp when this dataset was created.
#create_time=
def create_time=(value) -> ::Google::Protobuf::Timestamp
Parameter
- value (::Google::Protobuf::Timestamp) — Output only. Timestamp when this dataset was created.
Returns
- (::Google::Protobuf::Timestamp) — Output only. Timestamp when this dataset was created.
#description
def description() -> ::String
Returns
- (::String) — User-provided description of the dataset. The description can be up to 25000 characters long.
#description=
def description=(value) -> ::String
Parameter
- value (::String) — User-provided description of the dataset. The description can be up to 25000 characters long.
Returns
- (::String) — User-provided description of the dataset. The description can be up to 25000 characters long.
#display_name
def display_name() -> ::String
Returns
- (::String) — 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.
#display_name=
def display_name=(value) -> ::String
Parameter
- value (::String) — 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.
Returns
- (::String) — 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.
#etag
def etag() -> ::String
Returns
- (::String) — Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
#etag=
def etag=(value) -> ::String
Parameter
- value (::String) — Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
Returns
- (::String) — Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
#example_count
def example_count() -> ::Integer
Returns
- (::Integer) — Output only. The number of examples in the dataset.
#example_count=
def example_count=(value) -> ::Integer
Parameter
- value (::Integer) — Output only. The number of examples in the dataset.
Returns
- (::Integer) — Output only. The number of examples in the dataset.
#image_classification_dataset_metadata
def image_classification_dataset_metadata() -> ::Google::Cloud::AutoML::V1beta1::ImageClassificationDatasetMetadata
Returns
- (::Google::Cloud::AutoML::V1beta1::ImageClassificationDatasetMetadata) — Metadata for a dataset used for image classification.
#image_classification_dataset_metadata=
def image_classification_dataset_metadata=(value) -> ::Google::Cloud::AutoML::V1beta1::ImageClassificationDatasetMetadata
Parameter
- value (::Google::Cloud::AutoML::V1beta1::ImageClassificationDatasetMetadata) — Metadata for a dataset used for image classification.
Returns
- (::Google::Cloud::AutoML::V1beta1::ImageClassificationDatasetMetadata) — Metadata for a dataset used for image classification.
#image_object_detection_dataset_metadata
def image_object_detection_dataset_metadata() -> ::Google::Cloud::AutoML::V1beta1::ImageObjectDetectionDatasetMetadata
Returns
- (::Google::Cloud::AutoML::V1beta1::ImageObjectDetectionDatasetMetadata) — Metadata for a dataset used for image object detection.
#image_object_detection_dataset_metadata=
def image_object_detection_dataset_metadata=(value) -> ::Google::Cloud::AutoML::V1beta1::ImageObjectDetectionDatasetMetadata
Parameter
- value (::Google::Cloud::AutoML::V1beta1::ImageObjectDetectionDatasetMetadata) — Metadata for a dataset used for image object detection.
Returns
- (::Google::Cloud::AutoML::V1beta1::ImageObjectDetectionDatasetMetadata) — Metadata for a dataset used for image object detection.
#name
def name() -> ::String
Returns
-
(::String) — Output only. The resource name of the dataset.
Form:
projects/{project_id}/locations/{location_id}/datasets/{dataset_id}
#name=
def name=(value) -> ::String
Parameter
-
value (::String) — Output only. The resource name of the dataset.
Form:
projects/{project_id}/locations/{location_id}/datasets/{dataset_id}
Returns
-
(::String) — Output only. The resource name of the dataset.
Form:
projects/{project_id}/locations/{location_id}/datasets/{dataset_id}
#tables_dataset_metadata
def tables_dataset_metadata() -> ::Google::Cloud::AutoML::V1beta1::TablesDatasetMetadata
Returns
- (::Google::Cloud::AutoML::V1beta1::TablesDatasetMetadata) — Metadata for a dataset used for Tables.
#tables_dataset_metadata=
def tables_dataset_metadata=(value) -> ::Google::Cloud::AutoML::V1beta1::TablesDatasetMetadata
Parameter
- value (::Google::Cloud::AutoML::V1beta1::TablesDatasetMetadata) — Metadata for a dataset used for Tables.
Returns
- (::Google::Cloud::AutoML::V1beta1::TablesDatasetMetadata) — Metadata for a dataset used for Tables.
#text_classification_dataset_metadata
def text_classification_dataset_metadata() -> ::Google::Cloud::AutoML::V1beta1::TextClassificationDatasetMetadata
Returns
- (::Google::Cloud::AutoML::V1beta1::TextClassificationDatasetMetadata) — Metadata for a dataset used for text classification.
#text_classification_dataset_metadata=
def text_classification_dataset_metadata=(value) -> ::Google::Cloud::AutoML::V1beta1::TextClassificationDatasetMetadata
Parameter
- value (::Google::Cloud::AutoML::V1beta1::TextClassificationDatasetMetadata) — Metadata for a dataset used for text classification.
Returns
- (::Google::Cloud::AutoML::V1beta1::TextClassificationDatasetMetadata) — Metadata for a dataset used for text classification.
#text_extraction_dataset_metadata
def text_extraction_dataset_metadata() -> ::Google::Cloud::AutoML::V1beta1::TextExtractionDatasetMetadata
Returns
- (::Google::Cloud::AutoML::V1beta1::TextExtractionDatasetMetadata) — Metadata for a dataset used for text extraction.
#text_extraction_dataset_metadata=
def text_extraction_dataset_metadata=(value) -> ::Google::Cloud::AutoML::V1beta1::TextExtractionDatasetMetadata
Parameter
- value (::Google::Cloud::AutoML::V1beta1::TextExtractionDatasetMetadata) — Metadata for a dataset used for text extraction.
Returns
- (::Google::Cloud::AutoML::V1beta1::TextExtractionDatasetMetadata) — Metadata for a dataset used for text extraction.
#text_sentiment_dataset_metadata
def text_sentiment_dataset_metadata() -> ::Google::Cloud::AutoML::V1beta1::TextSentimentDatasetMetadata
Returns
- (::Google::Cloud::AutoML::V1beta1::TextSentimentDatasetMetadata) — Metadata for a dataset used for text sentiment.
#text_sentiment_dataset_metadata=
def text_sentiment_dataset_metadata=(value) -> ::Google::Cloud::AutoML::V1beta1::TextSentimentDatasetMetadata
Parameter
- value (::Google::Cloud::AutoML::V1beta1::TextSentimentDatasetMetadata) — Metadata for a dataset used for text sentiment.
Returns
- (::Google::Cloud::AutoML::V1beta1::TextSentimentDatasetMetadata) — Metadata for a dataset used for text sentiment.
#translation_dataset_metadata
def translation_dataset_metadata() -> ::Google::Cloud::AutoML::V1beta1::TranslationDatasetMetadata
Returns
- (::Google::Cloud::AutoML::V1beta1::TranslationDatasetMetadata) — Metadata for a dataset used for translation.
#translation_dataset_metadata=
def translation_dataset_metadata=(value) -> ::Google::Cloud::AutoML::V1beta1::TranslationDatasetMetadata
Parameter
- value (::Google::Cloud::AutoML::V1beta1::TranslationDatasetMetadata) — Metadata for a dataset used for translation.
Returns
- (::Google::Cloud::AutoML::V1beta1::TranslationDatasetMetadata) — Metadata for a dataset used for translation.
#video_classification_dataset_metadata
def video_classification_dataset_metadata() -> ::Google::Cloud::AutoML::V1beta1::VideoClassificationDatasetMetadata
Returns
- (::Google::Cloud::AutoML::V1beta1::VideoClassificationDatasetMetadata) — Metadata for a dataset used for video classification.
#video_classification_dataset_metadata=
def video_classification_dataset_metadata=(value) -> ::Google::Cloud::AutoML::V1beta1::VideoClassificationDatasetMetadata
Parameter
- value (::Google::Cloud::AutoML::V1beta1::VideoClassificationDatasetMetadata) — Metadata for a dataset used for video classification.
Returns
- (::Google::Cloud::AutoML::V1beta1::VideoClassificationDatasetMetadata) — Metadata for a dataset used for video classification.
#video_object_tracking_dataset_metadata
def video_object_tracking_dataset_metadata() -> ::Google::Cloud::AutoML::V1beta1::VideoObjectTrackingDatasetMetadata
Returns
- (::Google::Cloud::AutoML::V1beta1::VideoObjectTrackingDatasetMetadata) — Metadata for a dataset used for video object tracking.
#video_object_tracking_dataset_metadata=
def video_object_tracking_dataset_metadata=(value) -> ::Google::Cloud::AutoML::V1beta1::VideoObjectTrackingDatasetMetadata
Parameter
- value (::Google::Cloud::AutoML::V1beta1::VideoObjectTrackingDatasetMetadata) — Metadata for a dataset used for video object tracking.
Returns
- (::Google::Cloud::AutoML::V1beta1::VideoObjectTrackingDatasetMetadata) — Metadata for a dataset used for video object tracking.