- 1.69.0 (latest)
- 1.68.0
- 1.67.1
- 1.66.0
- 1.65.0
- 1.63.0
- 1.62.0
- 1.60.0
- 1.59.0
- 1.58.0
- 1.57.0
- 1.56.0
- 1.55.0
- 1.54.1
- 1.53.0
- 1.52.0
- 1.51.0
- 1.50.0
- 1.49.0
- 1.48.0
- 1.47.0
- 1.46.0
- 1.45.0
- 1.44.0
- 1.43.0
- 1.39.0
- 1.38.1
- 1.37.0
- 1.36.4
- 1.35.0
- 1.34.0
- 1.33.1
- 1.32.0
- 1.31.1
- 1.30.1
- 1.29.0
- 1.28.1
- 1.27.1
- 1.26.1
- 1.25.0
- 1.24.1
- 1.23.0
- 1.22.1
- 1.21.0
- 1.20.0
- 1.19.1
- 1.18.3
- 1.17.1
- 1.16.1
- 1.15.1
- 1.14.0
- 1.13.1
- 1.12.1
- 1.11.0
- 1.10.0
- 1.9.0
- 1.8.1
- 1.7.1
- 1.6.2
- 1.5.0
- 1.4.3
- 1.3.0
- 1.2.0
- 1.1.1
- 1.0.1
- 0.9.0
- 0.8.0
- 0.7.1
- 0.6.0
- 0.5.1
- 0.4.0
- 0.3.1
API documentation for aiplatform_v1.services.dataset_service.pagers
module.
Classes
ListAnnotationsAsyncPager
ListAnnotationsAsyncPager
(
method
:
Callable
[
[
...
],
Awaitable
[
google
.
cloud
.
aiplatform_v1
.
types
.
dataset_service
.
ListAnnotationsResponse
],
],
request
:
google
.
cloud
.
aiplatform_v1
.
types
.
dataset_service
.
ListAnnotationsRequest
,
response
:
google
.
cloud
.
aiplatform_v1
.
types
.
dataset_service
.
ListAnnotationsResponse
,
*
,
metadata
:
Sequence
[
Tuple
[
str
,
str
]]
=
()
)
A pager for iterating through list_annotations
requests.
This class thinly wraps an initial ListAnnotationsResponse
object, and
provides an __aiter__
method to iterate through its annotations
field.
If there are more pages, the __aiter__
method will make additional ListAnnotations
requests and continue to iterate
through the annotations
field on the
corresponding responses.
All the usual ListAnnotationsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.
ListAnnotationsPager
ListAnnotationsPager
(
method
:
Callable
[
[
...
],
google
.
cloud
.
aiplatform_v1
.
types
.
dataset_service
.
ListAnnotationsResponse
],
request
:
google
.
cloud
.
aiplatform_v1
.
types
.
dataset_service
.
ListAnnotationsRequest
,
response
:
google
.
cloud
.
aiplatform_v1
.
types
.
dataset_service
.
ListAnnotationsResponse
,
*
,
metadata
:
Sequence
[
Tuple
[
str
,
str
]]
=
()
)
A pager for iterating through list_annotations
requests.
This class thinly wraps an initial ListAnnotationsResponse
object, and
provides an __iter__
method to iterate through its annotations
field.
If there are more pages, the __iter__
method will make additional ListAnnotations
requests and continue to iterate
through the annotations
field on the
corresponding responses.
All the usual ListAnnotationsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.
ListDataItemsAsyncPager
ListDataItemsAsyncPager
(
method
:
Callable
[
[
...
],
Awaitable
[
google
.
cloud
.
aiplatform_v1
.
types
.
dataset_service
.
ListDataItemsResponse
],
],
request
:
google
.
cloud
.
aiplatform_v1
.
types
.
dataset_service
.
ListDataItemsRequest
,
response
:
google
.
cloud
.
aiplatform_v1
.
types
.
dataset_service
.
ListDataItemsResponse
,
*
,
metadata
:
Sequence
[
Tuple
[
str
,
str
]]
=
()
)
A pager for iterating through list_data_items
requests.
This class thinly wraps an initial ListDataItemsResponse
object, and
provides an __aiter__
method to iterate through its data_items
field.
If there are more pages, the __aiter__
method will make additional ListDataItems
requests and continue to iterate
through the data_items
field on the
corresponding responses.
All the usual ListDataItemsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.
ListDataItemsPager
ListDataItemsPager
(
method
:
Callable
[
[
...
],
google
.
cloud
.
aiplatform_v1
.
types
.
dataset_service
.
ListDataItemsResponse
],
request
:
google
.
cloud
.
aiplatform_v1
.
types
.
dataset_service
.
ListDataItemsRequest
,
response
:
google
.
cloud
.
aiplatform_v1
.
types
.
dataset_service
.
ListDataItemsResponse
,
*
,
metadata
:
Sequence
[
Tuple
[
str
,
str
]]
=
()
)
A pager for iterating through list_data_items
requests.
This class thinly wraps an initial ListDataItemsResponse
object, and
provides an __iter__
method to iterate through its data_items
field.
If there are more pages, the __iter__
method will make additional ListDataItems
requests and continue to iterate
through the data_items
field on the
corresponding responses.
All the usual ListDataItemsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.
ListDatasetsAsyncPager
ListDatasetsAsyncPager
(
method
:
Callable
[
[
...
],
Awaitable
[
google
.
cloud
.
aiplatform_v1
.
types
.
dataset_service
.
ListDatasetsResponse
],
],
request
:
google
.
cloud
.
aiplatform_v1
.
types
.
dataset_service
.
ListDatasetsRequest
,
response
:
google
.
cloud
.
aiplatform_v1
.
types
.
dataset_service
.
ListDatasetsResponse
,
*
,
metadata
:
Sequence
[
Tuple
[
str
,
str
]]
=
()
)
A pager for iterating through list_datasets
requests.
This class thinly wraps an initial ListDatasetsResponse
object, and
provides an __aiter__
method to iterate through its datasets
field.
If there are more pages, the __aiter__
method will make additional ListDatasets
requests and continue to iterate
through the datasets
field on the
corresponding responses.
All the usual ListDatasetsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.
ListDatasetsPager
ListDatasetsPager
(
method
:
Callable
[
[
...
],
google
.
cloud
.
aiplatform_v1
.
types
.
dataset_service
.
ListDatasetsResponse
],
request
:
google
.
cloud
.
aiplatform_v1
.
types
.
dataset_service
.
ListDatasetsRequest
,
response
:
google
.
cloud
.
aiplatform_v1
.
types
.
dataset_service
.
ListDatasetsResponse
,
*
,
metadata
:
Sequence
[
Tuple
[
str
,
str
]]
=
()
)
A pager for iterating through list_datasets
requests.
This class thinly wraps an initial ListDatasetsResponse
object, and
provides an __iter__
method to iterate through its datasets
field.
If there are more pages, the __iter__
method will make additional ListDatasets
requests and continue to iterate
through the datasets
field on the
corresponding responses.
All the usual ListDatasetsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.