https://github.com/europanite/client_side_ml
Client Side Browser-Based CART Time-Series Prediction.
https://github.com/europanite/client_side_ml
cart data-analysis data-science docker docker-compose expo expo-go machine-learning metro react-native ti time-series time-series-analysis time-series-forecasting time-series-prediction typescript vite
Last synced: 2 months ago
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Client Side Browser-Based CART Time-Series Prediction.
- Host: GitHub
- URL: https://github.com/europanite/client_side_ml
- Owner: europanite
- License: apache-2.0
- Created: 2025-11-05T05:43:23.000Z (3 months ago)
- Default Branch: main
- Last Pushed: 2025-11-19T16:17:55.000Z (2 months ago)
- Last Synced: 2025-11-19T18:07:00.490Z (2 months ago)
- Topics: cart, data-analysis, data-science, docker, docker-compose, expo, expo-go, machine-learning, metro, react-native, ti, time-series, time-series-analysis, time-series-forecasting, time-series-prediction, typescript, vite
- Language: TypeScript
- Homepage:
- Size: 501 KB
- Stars: 1
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
Awesome Lists containing this project
README
# [Client Side ML](https://github.com/europanite/client_side_ml "Client Side ML")
[](https://github.com/europanite/client_side_ml/actions/workflows/deploy-pages.yml)

[PlayGround](https://europanite.github.io/client_side_ml/)
Client Side Browser-Based CART Time-Series Prediction.
---
## Data Structure
datetime,item_a,item_b,item_c,...
2025-01-01 00:00:00+09:00,10,20,31,...
2025-01-02 00:00:00+09:00,12,19,31,...
2025-01-03 00:00:00+09:00,14,18,33,...
...
---
## 🚀 Getting Started
### 1. Prerequisites
- [Docker Compose](https://docs.docker.com/compose/)
### 2. Build and start all services:
```bash
# Build the image
docker compose build
# Run the container
docker compose up
```
### 3. Test:
```bash
docker compose \
-f docker-compose.test.yml up \
--build --exit-code-from \
frontend_test
```
---
# License
- Apache License 2.0