Type annotations for boto3.MachineLearning 1.13.26 service, generated by mypy-boto3-buider 2.0.4
Project description
mypy-boto3-machinelearning
Type annotations for boto3.MachineLearning 1.13.26 service compatible with mypy, VSCode, PyCharm and other tools.
Generated by mypy-boto3-buider 2.0.4.
More information can be found on boto3-stubs page.
How to use
Make sure you have mypy installed and activated in your IDE.
Install boto3-stubs
for MachineLearning
service.
python -m pip install boto3-stubs[machinelearning]
Use boto3
with mypy_boto3_machinelearning
in your project and enjoy type checking and auto-complete.
import boto3
from mypy_boto3_machinelearning import MachineLearningClient
# Now mypy can check if your code is valid.
client: MachineLearningClient = boto3.client("machinelearning")
# works for session as well
session = boto3.session.Session(region="us-west-1")
session_client: MachineLearningClient = session.client("machinelearning")
# Waiters are also supported
import mypy_boto3_machinelearning.waiter as machinelearning_waiters
batch_prediction_available_waiter: machinelearning_waiters.BatchPredictionAvailableWaiter = client.get_waiter("batch_prediction_available")
data_source_available_waiter: machinelearning_waiters.DataSourceAvailableWaiter = client.get_waiter("data_source_available")
evaluation_available_waiter: machinelearning_waiters.EvaluationAvailableWaiter = client.get_waiter("evaluation_available")
ml_model_available_waiter: machinelearning_waiters.MLModelAvailableWaiter = client.get_waiter("ml_model_available")
# Annotated paginators are included as well
import mypy_boto3_machinelearning.paginator as machinelearning_paginators
describe_batch_predictions_paginator: machinelearning_paginators.DescribeBatchPredictionsPaginator = client.get_paginator("describe_batch_predictions")
describe_data_sources_paginator: machinelearning_paginators.DescribeDataSourcesPaginator = client.get_paginator("describe_data_sources")
describe_evaluations_paginator: machinelearning_paginators.DescribeEvaluationsPaginator = client.get_paginator("describe_evaluations")
describe_ml_models_paginator: machinelearning_paginators.DescribeMLModelsPaginator = client.get_paginator("describe_ml_models")
Dynamic type annotations
mypy_boto3
command generates boto3.client/resource
type annotations for
mypy_boto3_machinelearning
and other installed services.
# Run this command after you add or remove service packages
python -m mypy_boto3
Generated type annotations provide overloads for boto3.client
and boto3.resource
,
boto3.Session.client
and boto3.Session.resource
functions,
so explicit type annotations are not needed.
mypy
supports function overloads as expectedPyCharm
also supports function overloads, but consumes a lot of RAM, use carefully if you have many services installedVSCode
does not currently support function overloads, use explicit type annotations
import boto3
# Type is discovered correctly by mypy and PyCharm
# VSCode still needs explicit type annotations
client = boto3.client("machinelearning")
session_client = boto3.Session().client("machinelearning")
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