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Project Python Machine Learning Environment

Docker Compose is needed to set up this project on dev machine.


Commands

To start the docker container

$ docker-compose up

To build/rebuild the docker container

$ docker-compose build

To login into python container

docker exec -it $(docker ps | grep "python-ml-env_api" | awk '{print $1}') bash

Steps to run machine learning claims

  1. Clone the specific claim in the claims directory.

  2. Add the requirements in the requirements.txt directory.

  3. Build/rebuild the docker container

  4. Login to the python shell.

    docker exec -it $(docker ps | grep "python-ml-env_api" | awk '{print $1}') bash
  5. From this shell, run the commands as specified in the claimant's repo readme file.

  6. To change the Python version, modify the line number 1 of Dockerfile.

Good Ideas

  1. Search for the library in the website https://pypi.org.
  2. Then match the specified version as per the claimant's repo readme file.
  3. It should be available.
  4. If it is available, then add the same requirement in requirements.txt.

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