This project provides an API for visualizing dimension reduction of online shop embeddings. Users can choose between PCA, UMAP, and t-SNE for dimension reduction and visualize the embeddings in a scatter plot. Additionally, the API supports filtering based on month, day, and time, allowing for a tailored visualization experience. This tool is ideal for analyzing and understanding high-dimensional data associated with online shop items or user behavior.
- Dimension reduction visualization using PCA, UMAP, or t-SNE.
- Filter visualizations based on month, day, and hour.
- FastAPI backend for easy integration and customization.
- Create a Dummy Folder on your desktop.
- Open Git Bash by right-clicking on the folder and selecting "Git Bash here".
- Clone the Repository:
git clone https://github.com/Lizoug/Breinify-demo.git`- start the frontend
npm start