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CONTRIBUTING.rst

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Contributing

Setting Development Environment

Thanks for your interest in contributing to mlserve, there are multiple ways and places you can contribute, help on on documentation and tests is very appreciated.

To setup development environment, fist of all just clone repository:

$ git clone git@github.com:jettify/mlserve.git

Create virtualenv with python3.7 (python 3.6 also supported). For example using virtualenvwrapper commands could look like:

$ cd mlserve
$ mkvirtualenv --python=`which python3.7` mlserve

After that please install libraries required for development:

$ pip install -r requirements-dev.txt
$ pip install -e .

Running Tests

Congratulations, you are ready to run the test suite:

$ make cov

To run individual test use following command:

$ py.test -sv tests/test_utils.py -k test_name

Reporting an Issue

If you have found an issue with mlserve please do not hesitate to file an issue on the GitHub project. When filing your issue please make sure you can express the issue with a reproducible test case.

When reporting an issue we also need as much information about your environment that you can include. We never know what information will be pertinent when trying narrow down the issue. Please include at least the following information:

  • Version of mlserve and python.
  • Versions of installed python libraries pip freeze.
  • Platform you're running on (OS X, Linux).