Announcing `dslinter` -- a Pylint plugin for assessing Python-written ML project code quality

• dslinter

  2 17 4.2 Python

  `dslinter` is a pylint plugin for linting data science and machine learning code. We plan to support the following Python libraries: TensorFlow, PyTorch, Scikit-Learn, Pandas and NumPy.

  

It would be a massive help if you could run `dslinter` on your machine learning project in the industry setting and share the text and the json output with us. You can simply use pip to install dslinter and run dslinter. The steps and commands can be found here: https://github.com/SERG-Delft/dslinter/blob/main/STEPS_TO_FOLLOW.md . The running time of the dslinter should be approximately 1 minute for a project with 10000 lines. The whole process should take no longer than 10 minutes. The process is anonymous and we will remove any sensitive information before the results are published. We can also arrange a meeting and go through the process together if you prefer. If you have time to check whether the output linting message can help you with the project development, we are more than happy to hear the feedback! Please don't hesitate to contact me if you have any questions : )

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