Class: Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Dataset

Inherits:
Object
  • Object
show all
Includes:
Core::Hashable, Core::JsonObjectSupport
Defined in:
lib/google/apis/aiplatform_v1/classes.rb,
lib/google/apis/aiplatform_v1/representations.rb,
lib/google/apis/aiplatform_v1/representations.rb

Overview

A collection of DataItems and Annotations on them.

Instance Attribute Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(**args) ⇒ GoogleCloudAiplatformV1Dataset

Returns a new instance of GoogleCloudAiplatformV1Dataset.



6382
6383
6384
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 6382

def initialize(**args)
   update!(**args)
end

Instance Attribute Details

#create_time ⇒ String

Output only. Timestamp when this Dataset was created. Corresponds to the JSON property createTime

Returns:

  • (String) 


6277
6278
6279
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 6277

def create_time
  @create_time
end

#data_item_count ⇒ Fixnum

Output only. The number of DataItems in this Dataset. Only apply for non- structured Dataset. Corresponds to the JSON property dataItemCount

Returns:

  • (Fixnum) 


6283
6284
6285
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 6283

def data_item_count
  @data_item_count
end

#description ⇒ String

The description of the Dataset. Corresponds to the JSON property description

Returns:

  • (String) 


6288
6289
6290
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 6288

def description
  @description
end

#display_name ⇒ String

Required. The user-defined name of the Dataset. The name can be up to 128 characters long and can consist of any UTF-8 characters. Corresponds to the JSON property displayName

Returns:

  • (String) 


6294
6295
6296
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 6294

def display_name
  @display_name
end

#encryption_spec ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1EncryptionSpec

Represents a customer-managed encryption key specification that can be applied to a Vertex AI resource. Corresponds to the JSON property encryptionSpec

Returns:



6300
6301
6302
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 6300

def encryption_spec
  @encryption_spec
end

#etag ⇒ String

Used to perform consistent read-modify-write updates. If not set, a blind " overwrite" update happens. Corresponds to the JSON property etag

Returns:

  • (String) 


6306
6307
6308
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 6306

def etag
  @etag
end

#labels ⇒ Hash<String,String>

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 title. Corresponds to the JSON property labels

Returns:

  • (Hash<String,String>) 


6320
6321
6322
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 6320

def labels
  @labels
end

#metadata ⇒ Object

Required. Additional information about the Dataset. Corresponds to the JSON property metadata

Returns:

  • (Object) 


6325
6326
6327
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 6325

def metadata
  @metadata
end

#metadata_artifact ⇒ String

Output only. The resource name of the Artifact that was created in MetadataStore when creating the Dataset. The Artifact resource name pattern is projects/project/locations/location/metadataStores/metadata_store/ artifacts/artifact`. Corresponds to the JSON propertymetadataArtifact`

Returns:

  • (String) 


6333
6334
6335
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 6333

def metadata_artifact
  @metadata_artifact
end

#metadata_schema_uri ⇒ String

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/. Corresponds to the JSON property metadataSchemaUri

Returns:

  • (String) 


6341
6342
6343
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 6341

def metadata_schema_uri
  @metadata_schema_uri
end

#model_reference ⇒ String

Optional. Reference to the public base model last used by the dataset. Only set for prompt datasets. Corresponds to the JSON property modelReference

Returns:

  • (String) 


6347
6348
6349
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 6347

def model_reference
  @model_reference
end

#name ⇒ String

Output only. Identifier. The resource name of the Dataset. Format: projects/ project/locations/location/datasets/dataset` Corresponds to the JSON propertyname`

Returns:

  • (String) 


6353
6354
6355
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 6353

def name
  @name
end

#satisfies_pzi ⇒ Boolean Also known as: satisfies_pzi?

Output only. Reserved for future use. Corresponds to the JSON property satisfiesPzi

Returns:

  • (Boolean) 


6358
6359
6360
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 6358

def satisfies_pzi
  @satisfies_pzi
end

#satisfies_pzs ⇒ Boolean Also known as: satisfies_pzs?

Output only. Reserved for future use. Corresponds to the JSON property satisfiesPzs

Returns:

  • (Boolean) 


6364
6365
6366
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 6364

def satisfies_pzs
  @satisfies_pzs
end

#saved_queries ⇒ Array<Google::Apis::AiplatformV1::GoogleCloudAiplatformV1SavedQuery>

All SavedQueries belong to the Dataset will be returned in List/Get Dataset response. The annotation_specs field will not be populated except for UI cases which will only use annotation_spec_count. In CreateDataset request, a SavedQuery is created together if this field is set, up to one SavedQuery can be set in CreateDatasetRequest. The SavedQuery should not contain any AnnotationSpec. Corresponds to the JSON property savedQueries

Returns:



6375
6376
6377
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 6375

def saved_queries
  @saved_queries
end

#update_time ⇒ String

Output only. Timestamp when this Dataset was last updated. Corresponds to the JSON property updateTime

Returns:

  • (String) 


6380
6381
6382
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 6380

def update_time
  @update_time
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



6387
6388
6389
6390
6391
6392
6393
6394
6395
6396
6397
6398
6399
6400
6401
6402
6403
6404
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 6387

def update!(**args)
  @create_time = args[:create_time] if args.key?(:create_time)
  @data_item_count = args[:data_item_count] if args.key?(:data_item_count)
  @description = args[:description] if args.key?(:description)
  @display_name = args[:display_name] if args.key?(:display_name)
  @encryption_spec = args[:encryption_spec] if args.key?(:encryption_spec)
  @etag = args[:etag] if args.key?(:etag)
  @labels = args[:labels] if args.key?(:labels)
  @metadata = args[:metadata] if args.key?(:metadata)
  @metadata_artifact = args[:metadata_artifact] if args.key?(:metadata_artifact)
  @metadata_schema_uri = args[:metadata_schema_uri] if args.key?(:metadata_schema_uri)
  @model_reference = args[:model_reference] if args.key?(:model_reference)
  @name = args[:name] if args.key?(:name)
  @satisfies_pzi = args[:satisfies_pzi] if args.key?(:satisfies_pzi)
  @satisfies_pzs = args[:satisfies_pzs] if args.key?(:satisfies_pzs)
  @saved_queries = args[:saved_queries] if args.key?(:saved_queries)
  @update_time = args[:update_time] if args.key?(:update_time)
end