Paginators#
Index > MachineLearning > Paginators
Auto-generated documentation for MachineLearning type annotations stubs module types-aiobotocore-machinelearning.
DescribeBatchPredictionsPaginator#
Type annotations and code completion for session.create_client("machinelearning").get_paginator("describe_batch_predictions")
.
boto3 documentation
# DescribeBatchPredictionsPaginator usage example
from aiobotocore.session import get_session
from types_aiobotocore_machinelearning.paginator import DescribeBatchPredictionsPaginator
session = get_session()
async with session.create_client("machinelearning") as client: # (1)
paginator: DescribeBatchPredictionsPaginator = client.get_paginator("describe_batch_predictions") # (2)
async for item in paginator.paginate(...):
item: DescribeBatchPredictionsOutputTypeDef
print(item) # (3)
- client: MachineLearningClient
- paginator: DescribeBatchPredictionsPaginator
- item: DescribeBatchPredictionsOutputTypeDef
paginate#
Type annotations and code completion for DescribeBatchPredictionsPaginator.paginate
method.
# paginate method definition
def paginate(
self,
*,
FilterVariable: BatchPredictionFilterVariableType = ..., # (1)
EQ: str = ...,
GT: str = ...,
LT: str = ...,
GE: str = ...,
LE: str = ...,
NE: str = ...,
Prefix: str = ...,
SortOrder: SortOrderType = ..., # (2)
PaginationConfig: PaginatorConfigTypeDef = ..., # (3)
) -> AsyncIterator[DescribeBatchPredictionsOutputTypeDef]: # (4)
...
- See BatchPredictionFilterVariableType
- See SortOrderType
- See PaginatorConfigTypeDef
- See DescribeBatchPredictionsOutputTypeDef
# paginate method usage example with argument unpacking
kwargs: DescribeBatchPredictionsInputDescribeBatchPredictionsPaginateTypeDef = { # (1)
"FilterVariable": ...,
}
parent.paginate(**kwargs)
DescribeDataSourcesPaginator#
Type annotations and code completion for session.create_client("machinelearning").get_paginator("describe_data_sources")
.
boto3 documentation
# DescribeDataSourcesPaginator usage example
from aiobotocore.session import get_session
from types_aiobotocore_machinelearning.paginator import DescribeDataSourcesPaginator
session = get_session()
async with session.create_client("machinelearning") as client: # (1)
paginator: DescribeDataSourcesPaginator = client.get_paginator("describe_data_sources") # (2)
async for item in paginator.paginate(...):
item: DescribeDataSourcesOutputTypeDef
print(item) # (3)
- client: MachineLearningClient
- paginator: DescribeDataSourcesPaginator
- item: DescribeDataSourcesOutputTypeDef
paginate#
Type annotations and code completion for DescribeDataSourcesPaginator.paginate
method.
# paginate method definition
def paginate(
self,
*,
FilterVariable: DataSourceFilterVariableType = ..., # (1)
EQ: str = ...,
GT: str = ...,
LT: str = ...,
GE: str = ...,
LE: str = ...,
NE: str = ...,
Prefix: str = ...,
SortOrder: SortOrderType = ..., # (2)
PaginationConfig: PaginatorConfigTypeDef = ..., # (3)
) -> AsyncIterator[DescribeDataSourcesOutputTypeDef]: # (4)
...
- See DataSourceFilterVariableType
- See SortOrderType
- See PaginatorConfigTypeDef
- See DescribeDataSourcesOutputTypeDef
# paginate method usage example with argument unpacking
kwargs: DescribeDataSourcesInputDescribeDataSourcesPaginateTypeDef = { # (1)
"FilterVariable": ...,
}
parent.paginate(**kwargs)
DescribeEvaluationsPaginator#
Type annotations and code completion for session.create_client("machinelearning").get_paginator("describe_evaluations")
.
boto3 documentation
# DescribeEvaluationsPaginator usage example
from aiobotocore.session import get_session
from types_aiobotocore_machinelearning.paginator import DescribeEvaluationsPaginator
session = get_session()
async with session.create_client("machinelearning") as client: # (1)
paginator: DescribeEvaluationsPaginator = client.get_paginator("describe_evaluations") # (2)
async for item in paginator.paginate(...):
item: DescribeEvaluationsOutputTypeDef
print(item) # (3)
- client: MachineLearningClient
- paginator: DescribeEvaluationsPaginator
- item: DescribeEvaluationsOutputTypeDef
paginate#
Type annotations and code completion for DescribeEvaluationsPaginator.paginate
method.
# paginate method definition
def paginate(
self,
*,
FilterVariable: EvaluationFilterVariableType = ..., # (1)
EQ: str = ...,
GT: str = ...,
LT: str = ...,
GE: str = ...,
LE: str = ...,
NE: str = ...,
Prefix: str = ...,
SortOrder: SortOrderType = ..., # (2)
PaginationConfig: PaginatorConfigTypeDef = ..., # (3)
) -> AsyncIterator[DescribeEvaluationsOutputTypeDef]: # (4)
...
- See EvaluationFilterVariableType
- See SortOrderType
- See PaginatorConfigTypeDef
- See DescribeEvaluationsOutputTypeDef
# paginate method usage example with argument unpacking
kwargs: DescribeEvaluationsInputDescribeEvaluationsPaginateTypeDef = { # (1)
"FilterVariable": ...,
}
parent.paginate(**kwargs)
DescribeMLModelsPaginator#
Type annotations and code completion for session.create_client("machinelearning").get_paginator("describe_ml_models")
.
boto3 documentation
# DescribeMLModelsPaginator usage example
from aiobotocore.session import get_session
from types_aiobotocore_machinelearning.paginator import DescribeMLModelsPaginator
session = get_session()
async with session.create_client("machinelearning") as client: # (1)
paginator: DescribeMLModelsPaginator = client.get_paginator("describe_ml_models") # (2)
async for item in paginator.paginate(...):
item: DescribeMLModelsOutputTypeDef
print(item) # (3)
- client: MachineLearningClient
- paginator: DescribeMLModelsPaginator
- item: DescribeMLModelsOutputTypeDef
paginate#
Type annotations and code completion for DescribeMLModelsPaginator.paginate
method.
# paginate method definition
def paginate(
self,
*,
FilterVariable: MLModelFilterVariableType = ..., # (1)
EQ: str = ...,
GT: str = ...,
LT: str = ...,
GE: str = ...,
LE: str = ...,
NE: str = ...,
Prefix: str = ...,
SortOrder: SortOrderType = ..., # (2)
PaginationConfig: PaginatorConfigTypeDef = ..., # (3)
) -> AsyncIterator[DescribeMLModelsOutputTypeDef]: # (4)
...
- See MLModelFilterVariableType
- See SortOrderType
- See PaginatorConfigTypeDef
- See DescribeMLModelsOutputTypeDef
# paginate method usage example with argument unpacking
kwargs: DescribeMLModelsInputDescribeMLModelsPaginateTypeDef = { # (1)
"FilterVariable": ...,
}
parent.paginate(**kwargs)