ML Recommendation Engine - Hybrid
A production-grade hybrid recommendation engine combining collaborative filtering, content-based filtering, and deep learning approaches.
🚀 Features
- Collaborative Filtering: Matrix factorization, Neural CF
- Content-Based: TF-IDF, embeddings
- Deep Learning: Two-tower architecture, attention
- Real-time Serving: FastAPI inference service
- A/B Testing: Experiment framework
📁 Structure
ml-recommendation-engine-hybrid/
├── src/
│ ├── models/ # ML models
│ ├── data/ # Data processing
│ ├── training/ # Training logic
│ ├── serving/ # API server
│ └── evaluation/ # Metrics
├── tests/
├── notebooks/
└── configs/
🛠️ Installation
pip install -r requirements.txt
python -m src.training.train --config configs/hybrid.yaml
python -m src.serving.app
📄 License
MIT License
1 maintainer
Metadata
1 maintainer
Release files for shivays-hybrid-recommender-v1 1.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| shivays_hybrid_recommender_v1-1.0.0.tar.gz | 5.1 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| shivays_hybrid_recommender_v1-1.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 11.6 kB
Release files / shivays_hybrid_recommender_v1-1.0.0.tar.gz
| Download URL | shivays_hybrid_recommender_v1-1.0.0.tar.gz |
|---|---|
| Size | 5.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
ea43385cf567277b6e0ec07a5b4e7940ec0fe73ce439ec2d2bf22671c63c130e
|
|
BLAKE2b-256 checksum How to use checksums |
be0c273569eec250c0da0a972afe14716245fc2cf675695ec5cc2e60cd66bc41
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.6
|
Release files / shivays_hybrid_recommender_v1-1.0.0-py3-none-any.whl
| Download URL | shivays_hybrid_recommender_v1-1.0.0-py3-none-any.whl |
|---|---|
| Size | 6.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
a6c696edf024d64ea71b84109d27b592f1384271538505bbb8937e0942119b77
|
|
BLAKE2b-256 checksum How to use checksums |
7d5af8cf42eede064895c612286f9bf23dcaca237f4315fa80080957be15c820
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.6
|
Security for shivays-hybrid-recommender-v1 1.0.0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
