Class Dataset (2.1.0)

Version 2.1.0

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Dataset(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A workspace for solving a single, particular machine learning (ML) problem. A workspace contains examples that may be annotated.

Attributes

Name	Description
translation_dataset_metadata	.translation.TranslationDatasetMetadata Metadata for a dataset used for translation.
image_classification_dataset_metadata	.image.ImageClassificationDatasetMetadata Metadata for a dataset used for image classification.
text_classification_dataset_metadata	.text.TextClassificationDatasetMetadata Metadata for a dataset used for text classification.
image_object_detection_dataset_metadata	.image.ImageObjectDetectionDatasetMetadata Metadata for a dataset used for image object detection.
text_extraction_dataset_metadata	.text.TextExtractionDatasetMetadata Metadata for a dataset used for text extraction.
text_sentiment_dataset_metadata	.text.TextSentimentDatasetMetadata Metadata for a dataset used for text sentiment.
name	str Output only. The resource name of the dataset. Form: projects/{project_id}/locations/{location_id}/datasets/{dataset_id}
display_name	str 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.
description	str User-provided description of the dataset. The description can be up to 25000 characters long.
example_count	int Output only. The number of examples in the dataset.
create_time	.timestamp.Timestamp Output only. Timestamp when this dataset was created.
etag	str Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
labels	Sequence[.dataset.Dataset.LabelsEntry] 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.

Classes

LabelsEntry

LabelsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

Parameters

Name	Description
kwargs	dict Keys and values corresponding to the fields of the message.
mapping	Union[dict, .Message] A dictionary or message to be used to determine the values for this message.
ignore_unknown_fields	Optional(bool) If True, do not raise errors for unknown fields. Only applied if mapping is a mapping type or there are keyword parameters.