https://github.com/thanhvie/iris-class-vndatasmart

An example of logistic regression machine learning application to classify objects
https://github.com/thanhvie/iris-class-vndatasmart

flask github-actions heroku-deployment labeled-data linear-regression machine-learning python

Last synced: 2 months ago
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An example of logistic regression machine learning application to classify objects

• Host: GitHub
• URL: https://github.com/thanhvie/iris-class-vndatasmart
• Owner: thanhvie
• Created: 2022-02-17T06:53:18.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2022-10-23T03:17:51.000Z (over 3 years ago)
• Last Synced: 2025-01-14T06:46:12.139Z (over 1 year ago)
• Topics: flask, github-actions, heroku-deployment, labeled-data, linear-regression, machine-learning, python
• Language: Jupyter Notebook
• Homepage:
• Size: 55.7 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# iris-class-vndatasmart

An Python application with full CI/CD pipeline


# Run the app

## Run on local environment

```

python3 server.py

```

## Run with docker

### Step 1: Build docker image

```

docker image build -t  .

```

### Step 2: Run the container

```

docker run -p 5000:5000 -d 

```

## Run with docker-compose

```

docker-compose up

```

## You can also check in the app at link below

https://iris-class-vndatasmart.herokuapp.com/