microcosm-sagemaker
Opinionated machine learning with SageMaker
Usage
For best practices, see
cookiecutter-microcosm-sagemaker.
Profiling
Make sure pyinstrument is installed, either using pip install pyinstrument or by installing microcosm-sagemaker with profiling extra dependencies:
pip install -e '.[profiling]'
To enable profiling of the app, use the --profile flag with runserver:
runserver --profile
The service will log that it is in profiling mode and announce the directory to which it is exporting. Each call to the endpoint will be profiled and its results with be stored in a time-tagged html file in the profiling directory.
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microcosm-sagemaker-0.7.1.tar.gz
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