https://github.com/saikiran76/mlp

Deployable Machine Learning Project
https://github.com/saikiran76/mlp

Last synced: 3 days ago
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Deployable Machine Learning Project

• Host: GitHub
• URL: https://github.com/saikiran76/mlp
• Owner: saikiran76
• License: apache-2.0
• Created: 2023-09-03T18:23:12.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2023-11-06T16:38:49.000Z (about 1 year ago)
• Last Synced: 2024-11-08T17:15:29.153Z (about 2 months ago)
• Language: Python
• Size: 17.6 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# MLP

Deployable Machine Learning Project

1) Creating Conda Environment 

```

conda create -p venv python==3.7 -y

```

2) Activate your venv

```

conda activate venv 

OR

conda activate venv/

```

3) Create you requirements.txt file and install the requirements

```

pip install -r requirements.txt

```

4) HEROKU CREDENTIALS

``` 

To set up CI/CD pipeline in heroku

1) HEROKU_EMAIL

2) HEROKU_API_KEY

3) HEROKU_APP_NAME = ml-app

```

5) BUILD DOCKER IMAGE

```

docker build -t :  .

```

> Note: Image name for Docker must be lowercase

To list Docker Image

```

docker images

```

Run docker image

```\

docker run -p 5000:5000 -e PORT=5000 01c649ec0cad

```

To check running container in docker

```

docker ps

```

To stop container

```

docker stop 

```