Cloud AutoML V1beta1 API - Class Google::Cloud::AutoML::V1beta1::Dataset (v0.13.0)

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• 0.13.0 (latest)
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• 0.5.5

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

• (::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.

  Note: The following fields are mutually exclusive: image_classification_dataset_metadata, translation_dataset_metadata, text_classification_dataset_metadata, image_object_detection_dataset_metadata, video_classification_dataset_metadata, video_object_tracking_dataset_metadata, text_extraction_dataset_metadata, text_sentiment_dataset_metadata, tables_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::V1beta1::ImageClassificationDatasetMetadata

Parameter

• value (::Google::Cloud::AutoML::V1beta1::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, video_classification_dataset_metadata, video_object_tracking_dataset_metadata, text_extraction_dataset_metadata, text_sentiment_dataset_metadata, tables_dataset_metadata. If a field in that set is populated, all other fields in the set will automatically be cleared.

Returns

• (::Google::Cloud::AutoML::V1beta1::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, video_classification_dataset_metadata, video_object_tracking_dataset_metadata, text_extraction_dataset_metadata, text_sentiment_dataset_metadata, tables_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::V1beta1::ImageObjectDetectionDatasetMetadata

Returns

• (::Google::Cloud::AutoML::V1beta1::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, video_classification_dataset_metadata, video_object_tracking_dataset_metadata, text_extraction_dataset_metadata, text_sentiment_dataset_metadata, tables_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::V1beta1::ImageObjectDetectionDatasetMetadata

Parameter

• value (::Google::Cloud::AutoML::V1beta1::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, video_classification_dataset_metadata, video_object_tracking_dataset_metadata, text_extraction_dataset_metadata, text_sentiment_dataset_metadata, tables_dataset_metadata. If a field in that set is populated, all other fields in the set will automatically be cleared.

Returns

• (::Google::Cloud::AutoML::V1beta1::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, video_classification_dataset_metadata, video_object_tracking_dataset_metadata, text_extraction_dataset_metadata, text_sentiment_dataset_metadata, tables_dataset_metadata. If a field in that set is populated, all other fields in the set will automatically be cleared.

#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.

  Note: The following fields are mutually exclusive: tables_dataset_metadata, translation_dataset_metadata, image_classification_dataset_metadata, text_classification_dataset_metadata, image_object_detection_dataset_metadata, video_classification_dataset_metadata, video_object_tracking_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.

#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.

  Note: The following fields are mutually exclusive: tables_dataset_metadata, translation_dataset_metadata, image_classification_dataset_metadata, text_classification_dataset_metadata, image_object_detection_dataset_metadata, video_classification_dataset_metadata, video_object_tracking_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.

Returns

• (::Google::Cloud::AutoML::V1beta1::TablesDatasetMetadata) — Metadata for a dataset used for Tables.

  Note: The following fields are mutually exclusive: tables_dataset_metadata, translation_dataset_metadata, image_classification_dataset_metadata, text_classification_dataset_metadata, image_object_detection_dataset_metadata, video_classification_dataset_metadata, video_object_tracking_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() -> ::Google::Cloud::AutoML::V1beta1::TextClassificationDatasetMetadata

Returns

• (::Google::Cloud::AutoML::V1beta1::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, video_classification_dataset_metadata, video_object_tracking_dataset_metadata, text_extraction_dataset_metadata, text_sentiment_dataset_metadata, tables_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::V1beta1::TextClassificationDatasetMetadata

Parameter

• value (::Google::Cloud::AutoML::V1beta1::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, video_classification_dataset_metadata, video_object_tracking_dataset_metadata, text_extraction_dataset_metadata, text_sentiment_dataset_metadata, tables_dataset_metadata. If a field in that set is populated, all other fields in the set will automatically be cleared.

Returns

• (::Google::Cloud::AutoML::V1beta1::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, video_classification_dataset_metadata, video_object_tracking_dataset_metadata, text_extraction_dataset_metadata, text_sentiment_dataset_metadata, tables_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::V1beta1::TextExtractionDatasetMetadata

Returns

• (::Google::Cloud::AutoML::V1beta1::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, video_classification_dataset_metadata, video_object_tracking_dataset_metadata, text_sentiment_dataset_metadata, tables_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::V1beta1::TextExtractionDatasetMetadata

Parameter

• value (::Google::Cloud::AutoML::V1beta1::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, video_classification_dataset_metadata, video_object_tracking_dataset_metadata, text_sentiment_dataset_metadata, tables_dataset_metadata. If a field in that set is populated, all other fields in the set will automatically be cleared.

Returns

• (::Google::Cloud::AutoML::V1beta1::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, video_classification_dataset_metadata, video_object_tracking_dataset_metadata, text_sentiment_dataset_metadata, tables_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::V1beta1::TextSentimentDatasetMetadata

Returns

• (::Google::Cloud::AutoML::V1beta1::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, video_classification_dataset_metadata, video_object_tracking_dataset_metadata, text_extraction_dataset_metadata, tables_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::V1beta1::TextSentimentDatasetMetadata

Parameter

• value (::Google::Cloud::AutoML::V1beta1::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, video_classification_dataset_metadata, video_object_tracking_dataset_metadata, text_extraction_dataset_metadata, tables_dataset_metadata. If a field in that set is populated, all other fields in the set will automatically be cleared.

Returns

• (::Google::Cloud::AutoML::V1beta1::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, video_classification_dataset_metadata, video_object_tracking_dataset_metadata, text_extraction_dataset_metadata, tables_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::V1beta1::TranslationDatasetMetadata

Returns

• (::Google::Cloud::AutoML::V1beta1::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, video_classification_dataset_metadata, video_object_tracking_dataset_metadata, text_extraction_dataset_metadata, text_sentiment_dataset_metadata, tables_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::V1beta1::TranslationDatasetMetadata

Parameter

• value (::Google::Cloud::AutoML::V1beta1::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, video_classification_dataset_metadata, video_object_tracking_dataset_metadata, text_extraction_dataset_metadata, text_sentiment_dataset_metadata, tables_dataset_metadata. If a field in that set is populated, all other fields in the set will automatically be cleared.

Returns

• (::Google::Cloud::AutoML::V1beta1::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, video_classification_dataset_metadata, video_object_tracking_dataset_metadata, text_extraction_dataset_metadata, text_sentiment_dataset_metadata, tables_dataset_metadata. If a field in that set is populated, all other fields in the set will automatically be cleared.

#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.

  Note: The following fields are mutually exclusive: video_classification_dataset_metadata, translation_dataset_metadata, image_classification_dataset_metadata, text_classification_dataset_metadata, image_object_detection_dataset_metadata, video_object_tracking_dataset_metadata, text_extraction_dataset_metadata, text_sentiment_dataset_metadata, tables_dataset_metadata. If a field in that set is populated, all other fields in the set will automatically be cleared.

#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.

  Note: The following fields are mutually exclusive: video_classification_dataset_metadata, translation_dataset_metadata, image_classification_dataset_metadata, text_classification_dataset_metadata, image_object_detection_dataset_metadata, video_object_tracking_dataset_metadata, text_extraction_dataset_metadata, text_sentiment_dataset_metadata, tables_dataset_metadata. If a field in that set is populated, all other fields in the set will automatically be cleared.

Returns

• (::Google::Cloud::AutoML::V1beta1::VideoClassificationDatasetMetadata) — Metadata for a dataset used for video classification.

  Note: The following fields are mutually exclusive: video_classification_dataset_metadata, translation_dataset_metadata, image_classification_dataset_metadata, text_classification_dataset_metadata, image_object_detection_dataset_metadata, video_object_tracking_dataset_metadata, text_extraction_dataset_metadata, text_sentiment_dataset_metadata, tables_dataset_metadata. If a field in that set is populated, all other fields in the set will automatically be cleared.

#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.

  Note: The following fields are mutually exclusive: video_object_tracking_dataset_metadata, translation_dataset_metadata, image_classification_dataset_metadata, text_classification_dataset_metadata, image_object_detection_dataset_metadata, video_classification_dataset_metadata, text_extraction_dataset_metadata, text_sentiment_dataset_metadata, tables_dataset_metadata. If a field in that set is populated, all other fields in the set will automatically be cleared.

#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.

  Note: The following fields are mutually exclusive: video_object_tracking_dataset_metadata, translation_dataset_metadata, image_classification_dataset_metadata, text_classification_dataset_metadata, image_object_detection_dataset_metadata, video_classification_dataset_metadata, text_extraction_dataset_metadata, text_sentiment_dataset_metadata, tables_dataset_metadata. If a field in that set is populated, all other fields in the set will automatically be cleared.

Returns

• (::Google::Cloud::AutoML::V1beta1::VideoObjectTrackingDatasetMetadata) — Metadata for a dataset used for video object tracking.

  Note: The following fields are mutually exclusive: video_object_tracking_dataset_metadata, translation_dataset_metadata, image_classification_dataset_metadata, text_classification_dataset_metadata, image_object_detection_dataset_metadata, video_classification_dataset_metadata, text_extraction_dataset_metadata, text_sentiment_dataset_metadata, tables_dataset_metadata. If a field in that set is populated, all other fields in the set will automatically be cleared.