Metadata-Version: 2.1
Name: microcosm-sagemaker
Version: 0.5.2
Summary: Opinionated machine learning organization and configuration
Home-page: https://github.com/globality-corp/microcosm-sagemaker
Author: Globality Engineering
Author-email: engineering@globality.com
License: UNKNOWN
Description: # microcosm-sagemaker
        Opinionated machine learning with SageMaker
        
        ## Usage
        For best practices, see
        [`cookiecutter-microcosm-sagemaker`](https://github.com/globality-corp/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.
Keywords: microcosm
Platform: UNKNOWN
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Provides-Extra: test
Provides-Extra: profiling
