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        "description": "# Model Train and Save Test\nAuthor: [Brenton Mallen](https://www.brentonmallen.com)\n\nThis is a package to build a ML model and save it to disk.\n\n## Installation\n`pip install mallen_grubhub_test`\n\nor install manually by cloning the repo and running\n\n`python setup.py install`\n\n## To Run\nThe CLI requires an integer argument called `--region_id`.\n\nExample run call: `train --region_id 1`\n(This will train a classifier on region `1`)\n\nFor CLI help type `python src/train.py -h` in the package root directory \n\n### Run Tests\nTo run tests, run the following command in the package root directory:\n`make test`\n\n### Development\nEither a Conda environment using `conda env update` in the root directory\nor by using virtualenv by first initializing the environment with \n`virtualenv grubhub-venv`, activating with `grubhub-venv/bin/activate` and \ninstalling the dependencies using `pip install -r requirements.txt`\n\n**Updating pypi package**\nUpload to pypi can be done using the `make package-test` command.\nIt will ask for credentials for a test pypi account.\n\nSimilarly, production can be updated using the `make package-prod` command.\n\nFor reference, see the [tutorial](https://packaging.python.org/tutorials/packaging-projects/)\n\n## TODOs\nOutside of the time constrain, there are a number of improvements:\n1. Continuous integration and deployment with something like Jenkins\n1. Implement mypy for type checking to reduce potential errors\n1. Implement linting for quality checking\n1. Explore using [tox](https://tox.readthedocs.io/en/latest/) for\nplatform testing\n\n",
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