Cloud AutoML V1beta1 API - Class Google::Cloud::AutoML::V1beta1::Dataset (v0.5.5)

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

#create_time=

def create_time=(value) -> ::Google::Protobuf::Timestamp
Parameter
Returns

#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

#image_classification_dataset_metadata=

def image_classification_dataset_metadata=(value) -> ::Google::Cloud::AutoML::V1beta1::ImageClassificationDatasetMetadata
Parameter
Returns

#image_object_detection_dataset_metadata

def image_object_detection_dataset_metadata() -> ::Google::Cloud::AutoML::V1beta1::ImageObjectDetectionDatasetMetadata
Returns

#image_object_detection_dataset_metadata=

def image_object_detection_dataset_metadata=(value) -> ::Google::Cloud::AutoML::V1beta1::ImageObjectDetectionDatasetMetadata
Parameter
Returns

#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

#tables_dataset_metadata=

def tables_dataset_metadata=(value) -> ::Google::Cloud::AutoML::V1beta1::TablesDatasetMetadata
Parameter
Returns

#text_classification_dataset_metadata

def text_classification_dataset_metadata() -> ::Google::Cloud::AutoML::V1beta1::TextClassificationDatasetMetadata
Returns

#text_classification_dataset_metadata=

def text_classification_dataset_metadata=(value) -> ::Google::Cloud::AutoML::V1beta1::TextClassificationDatasetMetadata
Parameter
Returns

#text_extraction_dataset_metadata

def text_extraction_dataset_metadata() -> ::Google::Cloud::AutoML::V1beta1::TextExtractionDatasetMetadata
Returns

#text_extraction_dataset_metadata=

def text_extraction_dataset_metadata=(value) -> ::Google::Cloud::AutoML::V1beta1::TextExtractionDatasetMetadata
Parameter
Returns

#text_sentiment_dataset_metadata

def text_sentiment_dataset_metadata() -> ::Google::Cloud::AutoML::V1beta1::TextSentimentDatasetMetadata
Returns

#text_sentiment_dataset_metadata=

def text_sentiment_dataset_metadata=(value) -> ::Google::Cloud::AutoML::V1beta1::TextSentimentDatasetMetadata
Parameter
Returns

#translation_dataset_metadata

def translation_dataset_metadata() -> ::Google::Cloud::AutoML::V1beta1::TranslationDatasetMetadata
Returns

#translation_dataset_metadata=

def translation_dataset_metadata=(value) -> ::Google::Cloud::AutoML::V1beta1::TranslationDatasetMetadata
Parameter
Returns

#video_classification_dataset_metadata

def video_classification_dataset_metadata() -> ::Google::Cloud::AutoML::V1beta1::VideoClassificationDatasetMetadata
Returns

#video_classification_dataset_metadata=

def video_classification_dataset_metadata=(value) -> ::Google::Cloud::AutoML::V1beta1::VideoClassificationDatasetMetadata
Parameter
Returns

#video_object_tracking_dataset_metadata

def video_object_tracking_dataset_metadata() -> ::Google::Cloud::AutoML::V1beta1::VideoObjectTrackingDatasetMetadata
Returns

#video_object_tracking_dataset_metadata=

def video_object_tracking_dataset_metadata=(value) -> ::Google::Cloud::AutoML::V1beta1::VideoObjectTrackingDatasetMetadata
Parameter
Returns