API documentation for automl_v1beta1.services.auto_ml.pagers
module.
Classes
ListColumnSpecsAsyncPager
ListColumnSpecsAsyncPager(
method: typing.Callable[
[...],
typing.Awaitable[
google.cloud.automl_v1beta1.types.service.ListColumnSpecsResponse
],
],
request: google.cloud.automl_v1beta1.types.service.ListColumnSpecsRequest,
response: google.cloud.automl_v1beta1.types.service.ListColumnSpecsResponse,
*,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary_async.AsyncRetry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)
A pager for iterating through list_column_specs
requests.
This class thinly wraps an initial
ListColumnSpecsResponse object, and
provides an __aiter__
method to iterate through its
column_specs
field.
If there are more pages, the __aiter__
method will make additional
ListColumnSpecs
requests and continue to iterate
through the column_specs
field on the
corresponding responses.
All the usual ListColumnSpecsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.
ListColumnSpecsPager
ListColumnSpecsPager(
method: typing.Callable[
[...], google.cloud.automl_v1beta1.types.service.ListColumnSpecsResponse
],
request: google.cloud.automl_v1beta1.types.service.ListColumnSpecsRequest,
response: google.cloud.automl_v1beta1.types.service.ListColumnSpecsResponse,
*,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary.Retry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)
A pager for iterating through list_column_specs
requests.
This class thinly wraps an initial
ListColumnSpecsResponse object, and
provides an __iter__
method to iterate through its
column_specs
field.
If there are more pages, the __iter__
method will make additional
ListColumnSpecs
requests and continue to iterate
through the column_specs
field on the
corresponding responses.
All the usual ListColumnSpecsResponse 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: typing.Callable[
[...],
typing.Awaitable[
google.cloud.automl_v1beta1.types.service.ListDatasetsResponse
],
],
request: google.cloud.automl_v1beta1.types.service.ListDatasetsRequest,
response: google.cloud.automl_v1beta1.types.service.ListDatasetsResponse,
*,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary_async.AsyncRetry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.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: typing.Callable[
[...], google.cloud.automl_v1beta1.types.service.ListDatasetsResponse
],
request: google.cloud.automl_v1beta1.types.service.ListDatasetsRequest,
response: google.cloud.automl_v1beta1.types.service.ListDatasetsResponse,
*,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary.Retry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.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.
ListModelEvaluationsAsyncPager
ListModelEvaluationsAsyncPager(
method: typing.Callable[
[...],
typing.Awaitable[
google.cloud.automl_v1beta1.types.service.ListModelEvaluationsResponse
],
],
request: google.cloud.automl_v1beta1.types.service.ListModelEvaluationsRequest,
response: google.cloud.automl_v1beta1.types.service.ListModelEvaluationsResponse,
*,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary_async.AsyncRetry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)
A pager for iterating through list_model_evaluations
requests.
This class thinly wraps an initial
ListModelEvaluationsResponse object, and
provides an __aiter__
method to iterate through its
model_evaluation
field.
If there are more pages, the __aiter__
method will make additional
ListModelEvaluations
requests and continue to iterate
through the model_evaluation
field on the
corresponding responses.
All the usual ListModelEvaluationsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.
ListModelEvaluationsPager
ListModelEvaluationsPager(
method: typing.Callable[
[...], google.cloud.automl_v1beta1.types.service.ListModelEvaluationsResponse
],
request: google.cloud.automl_v1beta1.types.service.ListModelEvaluationsRequest,
response: google.cloud.automl_v1beta1.types.service.ListModelEvaluationsResponse,
*,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary.Retry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)
A pager for iterating through list_model_evaluations
requests.
This class thinly wraps an initial
ListModelEvaluationsResponse object, and
provides an __iter__
method to iterate through its
model_evaluation
field.
If there are more pages, the __iter__
method will make additional
ListModelEvaluations
requests and continue to iterate
through the model_evaluation
field on the
corresponding responses.
All the usual ListModelEvaluationsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.
ListModelsAsyncPager
ListModelsAsyncPager(
method: typing.Callable[
[...],
typing.Awaitable[google.cloud.automl_v1beta1.types.service.ListModelsResponse],
],
request: google.cloud.automl_v1beta1.types.service.ListModelsRequest,
response: google.cloud.automl_v1beta1.types.service.ListModelsResponse,
*,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary_async.AsyncRetry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)
A pager for iterating through list_models
requests.
This class thinly wraps an initial
ListModelsResponse object, and
provides an __aiter__
method to iterate through its
model
field.
If there are more pages, the __aiter__
method will make additional
ListModels
requests and continue to iterate
through the model
field on the
corresponding responses.
All the usual ListModelsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.
ListModelsPager
ListModelsPager(
method: typing.Callable[
[...], google.cloud.automl_v1beta1.types.service.ListModelsResponse
],
request: google.cloud.automl_v1beta1.types.service.ListModelsRequest,
response: google.cloud.automl_v1beta1.types.service.ListModelsResponse,
*,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary.Retry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)
A pager for iterating through list_models
requests.
This class thinly wraps an initial
ListModelsResponse object, and
provides an __iter__
method to iterate through its
model
field.
If there are more pages, the __iter__
method will make additional
ListModels
requests and continue to iterate
through the model
field on the
corresponding responses.
All the usual ListModelsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.
ListTableSpecsAsyncPager
ListTableSpecsAsyncPager(
method: typing.Callable[
[...],
typing.Awaitable[
google.cloud.automl_v1beta1.types.service.ListTableSpecsResponse
],
],
request: google.cloud.automl_v1beta1.types.service.ListTableSpecsRequest,
response: google.cloud.automl_v1beta1.types.service.ListTableSpecsResponse,
*,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary_async.AsyncRetry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)
A pager for iterating through list_table_specs
requests.
This class thinly wraps an initial
ListTableSpecsResponse object, and
provides an __aiter__
method to iterate through its
table_specs
field.
If there are more pages, the __aiter__
method will make additional
ListTableSpecs
requests and continue to iterate
through the table_specs
field on the
corresponding responses.
All the usual ListTableSpecsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.
ListTableSpecsPager
ListTableSpecsPager(
method: typing.Callable[
[...], google.cloud.automl_v1beta1.types.service.ListTableSpecsResponse
],
request: google.cloud.automl_v1beta1.types.service.ListTableSpecsRequest,
response: google.cloud.automl_v1beta1.types.service.ListTableSpecsResponse,
*,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary.Retry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)
A pager for iterating through list_table_specs
requests.
This class thinly wraps an initial
ListTableSpecsResponse object, and
provides an __iter__
method to iterate through its
table_specs
field.
If there are more pages, the __iter__
method will make additional
ListTableSpecs
requests and continue to iterate
through the table_specs
field on the
corresponding responses.
All the usual ListTableSpecsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.