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How to install ddbourgin/numpy-ml. Official installation instructions. Project installation guide. Framework or library installation. Build installation instructions. How to setup and install from GitHub. Installation steps and setup instructions. Official docs and installation instructions GitHub.
ddbourgin/numpy-ml Installation Guide
How to install ddbourgin/numpy-ml. Official project installation instructions and setup guide.
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Automated Install (Recommended)
Quick installation instructions for ddbourgin/numpy-ml. This is the fastest way to complete project installation and setup.
Install via curl
curl -fsSL https://hexmos.com/ipm-install | bash &&
ipm i ddbourgin/numpy-mlor
Install via npx
npx @hexmos/ipm i ddbourgin/numpy-mlPrerequisites
Python
languageVersion: >=3.6.0
NumPy
package_managerVersion: 1.20.0
virtualenv
package_managerVersion: 19.1.1
pip
package_managerVersion: 23.0.1
git
system_toolVersion: 2.34.1
venv
system_toolVersion: 4.0.1
requirements-dev.txt
otherManual Installation Methods
Manual installation instructions. How to install from GitHub source.
Clone Repository and Activate Virtual Environment
git clone https://github.com/ddbourgin/numpy-ml.git
cd numpy-ml && virtualenv npml && source npml/bin/activate
pip3 install -r requirements-dev.txtInstall as Package
pip3 install -u numpy_mlInstall Reinforcement Learning Packages
pip3 install -u 'numpy_ml[rl]'Post Installation Steps
- Start the server using `python app.py` (or equivalent command based on project setup).
- If necessary, run database migrations with `python manage.py migrate`.
- Access the application by visiting `http://localhost:8000/` or your configured URL.