Reference documentation and code samples for the Cloud AutoML V1 API class Google::Cloud::AutoML::V1::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- (::Google::Protobuf::Timestamp) — Output only. Timestamp when this dataset was created.
#create_time=
def create_time=(value) -> ::Google::Protobuf::Timestamp- value (::Google::Protobuf::Timestamp) — Output only. Timestamp when this dataset was created.
- (::Google::Protobuf::Timestamp) — Output only. Timestamp when this dataset was created.
#description
def description() -> ::String- (::String) — User-provided description of the dataset. The description can be up to 25000 characters long.
#description=
def description=(value) -> ::String- value (::String) — User-provided description of the dataset. The description can be up to 25000 characters long.
- (::String) — User-provided description of the dataset. The description can be up to 25000 characters long.
#display_name
def display_name() -> ::String- (::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- 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.
- (::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- (::String) — Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
#etag=
def etag=(value) -> ::String- value (::String) — Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
- (::String) — Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
#example_count
def example_count() -> ::Integer- (::Integer) — Output only. The number of examples in the dataset.
#example_count=
def example_count=(value) -> ::Integer- value (::Integer) — Output only. The number of examples in the dataset.
- (::Integer) — Output only. The number of examples in the dataset.
#image_classification_dataset_metadata
def image_classification_dataset_metadata() -> ::Google::Cloud::AutoML::V1::ImageClassificationDatasetMetadata-
(::Google::Cloud::AutoML::V1::ImageClassificationDatasetMetadata) — Metadata for a dataset used for image classification.
Note: The following fields are mutually exclusive:
image_classification_dataset_metadata,translation_dataset_metadata,text_classification_dataset_metadata,image_object_detection_dataset_metadata,text_extraction_dataset_metadata,text_sentiment_dataset_metadata. If a field in that set is populated, all other fields in the set will automatically be cleared.
#image_classification_dataset_metadata=
def image_classification_dataset_metadata=(value) -> ::Google::Cloud::AutoML::V1::ImageClassificationDatasetMetadata-
value (::Google::Cloud::AutoML::V1::ImageClassificationDatasetMetadata) — Metadata for a dataset used for image classification.
Note: The following fields are mutually exclusive:
image_classification_dataset_metadata,translation_dataset_metadata,text_classification_dataset_metadata,image_object_detection_dataset_metadata,text_extraction_dataset_metadata,text_sentiment_dataset_metadata. If a field in that set is populated, all other fields in the set will automatically be cleared.
-
(::Google::Cloud::AutoML::V1::ImageClassificationDatasetMetadata) — Metadata for a dataset used for image classification.
Note: The following fields are mutually exclusive:
image_classification_dataset_metadata,translation_dataset_metadata,text_classification_dataset_metadata,image_object_detection_dataset_metadata,text_extraction_dataset_metadata,text_sentiment_dataset_metadata. If a field in that set is populated, all other fields in the set will automatically be cleared.
#image_object_detection_dataset_metadata
def image_object_detection_dataset_metadata() -> ::Google::Cloud::AutoML::V1::ImageObjectDetectionDatasetMetadata-
(::Google::Cloud::AutoML::V1::ImageObjectDetectionDatasetMetadata) — Metadata for a dataset used for image object detection.
Note: The following fields are mutually exclusive:
image_object_detection_dataset_metadata,translation_dataset_metadata,image_classification_dataset_metadata,text_classification_dataset_metadata,text_extraction_dataset_metadata,text_sentiment_dataset_metadata. If a field in that set is populated, all other fields in the set will automatically be cleared.
#image_object_detection_dataset_metadata=
def image_object_detection_dataset_metadata=(value) -> ::Google::Cloud::AutoML::V1::ImageObjectDetectionDatasetMetadata-
value (::Google::Cloud::AutoML::V1::ImageObjectDetectionDatasetMetadata) — Metadata for a dataset used for image object detection.
Note: The following fields are mutually exclusive:
image_object_detection_dataset_metadata,translation_dataset_metadata,image_classification_dataset_metadata,text_classification_dataset_metadata,text_extraction_dataset_metadata,text_sentiment_dataset_metadata. If a field in that set is populated, all other fields in the set will automatically be cleared.
-
(::Google::Cloud::AutoML::V1::ImageObjectDetectionDatasetMetadata) — Metadata for a dataset used for image object detection.
Note: The following fields are mutually exclusive:
image_object_detection_dataset_metadata,translation_dataset_metadata,image_classification_dataset_metadata,text_classification_dataset_metadata,text_extraction_dataset_metadata,text_sentiment_dataset_metadata. If a field in that set is populated, all other fields in the set will automatically be cleared.
#labels
def labels() -> ::Google::Protobuf::Map{::String => ::String}-
(::Google::Protobuf::Map{::String => ::String}) — 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.
#labels=
def labels=(value) -> ::Google::Protobuf::Map{::String => ::String}-
value (::Google::Protobuf::Map{::String => ::String}) — 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.
-
(::Google::Protobuf::Map{::String => ::String}) — 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.
#name
def name() -> ::String-
(::String) — Output only. The resource name of the dataset.
Form:
projects/{project_id}/locations/{location_id}/datasets/{dataset_id}
#name=
def name=(value) -> ::String-
value (::String) — Output only. The resource name of the dataset.
Form:
projects/{project_id}/locations/{location_id}/datasets/{dataset_id}
-
(::String) — Output only. The resource name of the dataset.
Form:
projects/{project_id}/locations/{location_id}/datasets/{dataset_id}
#text_classification_dataset_metadata
def text_classification_dataset_metadata() -> ::Google::Cloud::AutoML::V1::TextClassificationDatasetMetadata-
(::Google::Cloud::AutoML::V1::TextClassificationDatasetMetadata) — Metadata for a dataset used for text classification.
Note: The following fields are mutually exclusive:
text_classification_dataset_metadata,translation_dataset_metadata,image_classification_dataset_metadata,image_object_detection_dataset_metadata,text_extraction_dataset_metadata,text_sentiment_dataset_metadata. If a field in that set is populated, all other fields in the set will automatically be cleared.
#text_classification_dataset_metadata=
def text_classification_dataset_metadata=(value) -> ::Google::Cloud::AutoML::V1::TextClassificationDatasetMetadata-
value (::Google::Cloud::AutoML::V1::TextClassificationDatasetMetadata) — Metadata for a dataset used for text classification.
Note: The following fields are mutually exclusive:
text_classification_dataset_metadata,translation_dataset_metadata,image_classification_dataset_metadata,image_object_detection_dataset_metadata,text_extraction_dataset_metadata,text_sentiment_dataset_metadata. If a field in that set is populated, all other fields in the set will automatically be cleared.
-
(::Google::Cloud::AutoML::V1::TextClassificationDatasetMetadata) — Metadata for a dataset used for text classification.
Note: The following fields are mutually exclusive:
text_classification_dataset_metadata,translation_dataset_metadata,image_classification_dataset_metadata,image_object_detection_dataset_metadata,text_extraction_dataset_metadata,text_sentiment_dataset_metadata. If a field in that set is populated, all other fields in the set will automatically be cleared.
#text_extraction_dataset_metadata
def text_extraction_dataset_metadata() -> ::Google::Cloud::AutoML::V1::TextExtractionDatasetMetadata-
(::Google::Cloud::AutoML::V1::TextExtractionDatasetMetadata) — Metadata for a dataset used for text extraction.
Note: The following fields are mutually exclusive:
text_extraction_dataset_metadata,translation_dataset_metadata,image_classification_dataset_metadata,text_classification_dataset_metadata,image_object_detection_dataset_metadata,text_sentiment_dataset_metadata. If a field in that set is populated, all other fields in the set will automatically be cleared.
#text_extraction_dataset_metadata=
def text_extraction_dataset_metadata=(value) -> ::Google::Cloud::AutoML::V1::TextExtractionDatasetMetadata-
value (::Google::Cloud::AutoML::V1::TextExtractionDatasetMetadata) — Metadata for a dataset used for text extraction.
Note: The following fields are mutually exclusive:
text_extraction_dataset_metadata,translation_dataset_metadata,image_classification_dataset_metadata,text_classification_dataset_metadata,image_object_detection_dataset_metadata,text_sentiment_dataset_metadata. If a field in that set is populated, all other fields in the set will automatically be cleared.
-
(::Google::Cloud::AutoML::V1::TextExtractionDatasetMetadata) — Metadata for a dataset used for text extraction.
Note: The following fields are mutually exclusive:
text_extraction_dataset_metadata,translation_dataset_metadata,image_classification_dataset_metadata,text_classification_dataset_metadata,image_object_detection_dataset_metadata,text_sentiment_dataset_metadata. If a field in that set is populated, all other fields in the set will automatically be cleared.
#text_sentiment_dataset_metadata
def text_sentiment_dataset_metadata() -> ::Google::Cloud::AutoML::V1::TextSentimentDatasetMetadata-
(::Google::Cloud::AutoML::V1::TextSentimentDatasetMetadata) — Metadata for a dataset used for text sentiment.
Note: The following fields are mutually exclusive:
text_sentiment_dataset_metadata,translation_dataset_metadata,image_classification_dataset_metadata,text_classification_dataset_metadata,image_object_detection_dataset_metadata,text_extraction_dataset_metadata. If a field in that set is populated, all other fields in the set will automatically be cleared.
#text_sentiment_dataset_metadata=
def text_sentiment_dataset_metadata=(value) -> ::Google::Cloud::AutoML::V1::TextSentimentDatasetMetadata-
value (::Google::Cloud::AutoML::V1::TextSentimentDatasetMetadata) — Metadata for a dataset used for text sentiment.
Note: The following fields are mutually exclusive:
text_sentiment_dataset_metadata,translation_dataset_metadata,image_classification_dataset_metadata,text_classification_dataset_metadata,image_object_detection_dataset_metadata,text_extraction_dataset_metadata. If a field in that set is populated, all other fields in the set will automatically be cleared.
-
(::Google::Cloud::AutoML::V1::TextSentimentDatasetMetadata) — Metadata for a dataset used for text sentiment.
Note: The following fields are mutually exclusive:
text_sentiment_dataset_metadata,translation_dataset_metadata,image_classification_dataset_metadata,text_classification_dataset_metadata,image_object_detection_dataset_metadata,text_extraction_dataset_metadata. If a field in that set is populated, all other fields in the set will automatically be cleared.
#translation_dataset_metadata
def translation_dataset_metadata() -> ::Google::Cloud::AutoML::V1::TranslationDatasetMetadata-
(::Google::Cloud::AutoML::V1::TranslationDatasetMetadata) — Metadata for a dataset used for translation.
Note: The following fields are mutually exclusive:
translation_dataset_metadata,image_classification_dataset_metadata,text_classification_dataset_metadata,image_object_detection_dataset_metadata,text_extraction_dataset_metadata,text_sentiment_dataset_metadata. If a field in that set is populated, all other fields in the set will automatically be cleared.
#translation_dataset_metadata=
def translation_dataset_metadata=(value) -> ::Google::Cloud::AutoML::V1::TranslationDatasetMetadata-
value (::Google::Cloud::AutoML::V1::TranslationDatasetMetadata) — Metadata for a dataset used for translation.
Note: The following fields are mutually exclusive:
translation_dataset_metadata,image_classification_dataset_metadata,text_classification_dataset_metadata,image_object_detection_dataset_metadata,text_extraction_dataset_metadata,text_sentiment_dataset_metadata. If a field in that set is populated, all other fields in the set will automatically be cleared.
-
(::Google::Cloud::AutoML::V1::TranslationDatasetMetadata) — Metadata for a dataset used for translation.
Note: The following fields are mutually exclusive:
translation_dataset_metadata,image_classification_dataset_metadata,text_classification_dataset_metadata,image_object_detection_dataset_metadata,text_extraction_dataset_metadata,text_sentiment_dataset_metadata. If a field in that set is populated, all other fields in the set will automatically be cleared.