https://github.com/michaelbrusegard/machine-learning

Machine Learning model for tracking vessels
https://github.com/michaelbrusegard/machine-learning

Last synced: 7 days ago
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Machine Learning model for tracking vessels

• Host: GitHub
• URL: https://github.com/michaelbrusegard/machine-learning
• Owner: michaelbrusegard
• Created: 2024-09-26T01:32:39.000Z (about 1 month ago)
• Default Branch: main
• Last Pushed: 2024-10-28T04:12:29.000Z (11 days ago)
• Last Synced: 2024-10-28T05:31:04.964Z (11 days ago)
• Language: Jupyter Notebook
• Homepage:
• Size: 14.8 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Machine Learning AIS Vessel

## Getting Started

### Setup a Virtual Environment

Ensure you have python 3.12 installed on your system. You can check by running:

```bash

python3 --version

```

To create a venv named machine-learning run:

```bash

python3 -m venv machine-learning

```

To activate the venv:

```bash

source machine-learning/bin/activate

```

#### Pyenv Alternative Setup

You can also use a tool like [pyenv](https://github.com/pyenv/pyen) with the [pyenv-virtualenv](https://github.com/pyenv/pyenv-virtualenv) to handle python versions and venvs for you. It will activate the venv automaticaly for you when you enter the repository.

```bash

pyenv install 3.12

pyenv virtualenv 3.12 machine-learning

pyenv activate machine-learning

```

### Install dependencies

After activating the venv install dependencies:

```bash

pip install -r requirements.txt

```

### Pre commit hooks

Optionally you can install pre-commit hooks that automatically will format and check linting with ruff when you commit:

```bash

pre-commit install

```

You can also install [Ruff](https://docs.astral.sh/ruff/editors/setup/) for your code editor to automatically format and check linting.