Paginators

Index > MachineLearning > Paginators

Auto-generated documentation for MachineLearning type annotations stubs module types-boto3-machinelearning.

DescribeBatchPredictionsPaginator

Type annotations and code completion for boto3.client("machinelearning").get_paginator("describe_batch_predictions"). boto3 documentation

# DescribeBatchPredictionsPaginator usage example

from boto3.session import Session

from types_boto3_machinelearning.paginator import DescribeBatchPredictionsPaginator

def get_describe_batch_predictions_paginator() -> DescribeBatchPredictionsPaginator:
    return Session().client("machinelearning").get_paginator("describe_batch_predictions")

# DescribeBatchPredictionsPaginator usage example with type annotations

from boto3.session import Session

from types_boto3_machinelearning.paginator import DescribeBatchPredictionsPaginator

session = Session()

client = Session().client("machinelearning")  # (1)
paginator: DescribeBatchPredictionsPaginator = client.get_paginator("describe_batch_predictions")  # (2)
for item in paginator.paginate(...):
    print(item)  # (3)

1. client: MachineLearningClient
2. paginator: DescribeBatchPredictionsPaginator
3. 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)
) -> PageIterator[DescribeBatchPredictionsOutputTypeDef]:  # (4)
    ...

1. See BatchPredictionFilterVariableType
2. See SortOrderType
3. See PaginatorConfigTypeDef
4. See DescribeBatchPredictionsOutputTypeDef

# paginate method usage example with argument unpacking

kwargs: DescribeBatchPredictionsInputPaginateTypeDef = {  # (1)
    "FilterVariable": ...,
}

parent.paginate(**kwargs)

1. See DescribeBatchPredictionsInputPaginateTypeDef

DescribeDataSourcesPaginator

Type annotations and code completion for boto3.client("machinelearning").get_paginator("describe_data_sources"). boto3 documentation

# DescribeDataSourcesPaginator usage example

from boto3.session import Session

from types_boto3_machinelearning.paginator import DescribeDataSourcesPaginator

def get_describe_data_sources_paginator() -> DescribeDataSourcesPaginator:
    return Session().client("machinelearning").get_paginator("describe_data_sources")

# DescribeDataSourcesPaginator usage example with type annotations

from boto3.session import Session

from types_boto3_machinelearning.paginator import DescribeDataSourcesPaginator

session = Session()

client = Session().client("machinelearning")  # (1)
paginator: DescribeDataSourcesPaginator = client.get_paginator("describe_data_sources")  # (2)
for item in paginator.paginate(...):
    print(item)  # (3)

1. client: MachineLearningClient
2. paginator: DescribeDataSourcesPaginator
3. 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)
) -> PageIterator[DescribeDataSourcesOutputTypeDef]:  # (4)
    ...

1. See DataSourceFilterVariableType
2. See SortOrderType
3. See PaginatorConfigTypeDef
4. See DescribeDataSourcesOutputTypeDef

# paginate method usage example with argument unpacking

kwargs: DescribeDataSourcesInputPaginateTypeDef = {  # (1)
    "FilterVariable": ...,
}

parent.paginate(**kwargs)

1. See DescribeDataSourcesInputPaginateTypeDef

DescribeEvaluationsPaginator

Type annotations and code completion for boto3.client("machinelearning").get_paginator("describe_evaluations"). boto3 documentation

# DescribeEvaluationsPaginator usage example

from boto3.session import Session

from types_boto3_machinelearning.paginator import DescribeEvaluationsPaginator

def get_describe_evaluations_paginator() -> DescribeEvaluationsPaginator:
    return Session().client("machinelearning").get_paginator("describe_evaluations")

# DescribeEvaluationsPaginator usage example with type annotations

from boto3.session import Session

from types_boto3_machinelearning.paginator import DescribeEvaluationsPaginator

session = Session()

client = Session().client("machinelearning")  # (1)
paginator: DescribeEvaluationsPaginator = client.get_paginator("describe_evaluations")  # (2)
for item in paginator.paginate(...):
    print(item)  # (3)

1. client: MachineLearningClient
2. paginator: DescribeEvaluationsPaginator
3. 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)
) -> PageIterator[DescribeEvaluationsOutputTypeDef]:  # (4)
    ...

1. See EvaluationFilterVariableType
2. See SortOrderType
3. See PaginatorConfigTypeDef
4. See DescribeEvaluationsOutputTypeDef

# paginate method usage example with argument unpacking

kwargs: DescribeEvaluationsInputPaginateTypeDef = {  # (1)
    "FilterVariable": ...,
}

parent.paginate(**kwargs)

1. See DescribeEvaluationsInputPaginateTypeDef

DescribeMLModelsPaginator

Type annotations and code completion for boto3.client("machinelearning").get_paginator("describe_ml_models"). boto3 documentation

# DescribeMLModelsPaginator usage example

from boto3.session import Session

from types_boto3_machinelearning.paginator import DescribeMLModelsPaginator

def get_describe_ml_models_paginator() -> DescribeMLModelsPaginator:
    return Session().client("machinelearning").get_paginator("describe_ml_models")

# DescribeMLModelsPaginator usage example with type annotations

from boto3.session import Session

from types_boto3_machinelearning.paginator import DescribeMLModelsPaginator

session = Session()

client = Session().client("machinelearning")  # (1)
paginator: DescribeMLModelsPaginator = client.get_paginator("describe_ml_models")  # (2)
for item in paginator.paginate(...):
    print(item)  # (3)

1. client: MachineLearningClient
2. paginator: DescribeMLModelsPaginator
3. 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)
) -> PageIterator[DescribeMLModelsOutputTypeDef]:  # (4)
    ...

1. See MLModelFilterVariableType
2. See SortOrderType
3. See PaginatorConfigTypeDef
4. See DescribeMLModelsOutputTypeDef

# paginate method usage example with argument unpacking

kwargs: DescribeMLModelsInputPaginateTypeDef = {  # (1)
    "FilterVariable": ...,
}

parent.paginate(**kwargs)

1. See DescribeMLModelsInputPaginateTypeDef