Class Dataset (1.11.0)

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

A collection of DataItems and Annotations on them.

Attributes

Name	Description
name	`str` Output only. The resource name of the Dataset.
display_name	`str` Required. The user-defined name of the Dataset. The name can be up to 128 characters long and can be consist of any UTF-8 characters.
description	`str` Optional. The description of the Dataset.
metadata_schema_uri	`str` Required. Points to a YAML file stored on Google Cloud Storage describing additional information about the Dataset. The schema is defined as an OpenAPI 3.0.2 Schema Object. The schema files that can be used here are found in gs://google-cloud-aiplatform/schema/dataset/metadata/.
metadata	`google.protobuf.struct_pb2.Value` Required. Additional information about the Dataset.
create_time	`google.protobuf.timestamp_pb2.Timestamp` Output only. Timestamp when this Dataset was created.
update_time	`google.protobuf.timestamp_pb2.Timestamp` Output only. Timestamp when this Dataset was last updated.
etag	`str` Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
labels	`Sequence[ google.cloud.aiplatform_v1.types.Dataset.LabelsEntry ]` The labels with user-defined metadata to organize your Datasets. 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. No more than 64 user labels can be associated with one Dataset (System labels are excluded). See https://goo.gl/xmQnxf for more information and examples of labels. System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable. Following system labels exist for each Dataset: - "aiplatform.googleapis.com/dataset_metadata_schema": output only, its value is the [metadata_schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] title.
encryption_spec	`google.cloud.aiplatform_v1.types.EncryptionSpec` Customer-managed encryption key spec for a Dataset. If set, this Dataset and all sub-resources of this Dataset will be secured by this key.

Inheritance

builtins.object > proto.message.Message > Dataset

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.