oxirs-embed 0.2.2

Knowledge graph embeddings with TransE, ComplEx, and custom models
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# OxiRS Embed - TODO

*Version: 0.2.2 | Last Updated: 2026-03-16*

## Status: Production Ready

**oxirs-embed** provides knowledge graph embeddings with multiple models, model validation, and comprehensive analytics capabilities.

### Features
- **Multiple Embedding Models** - TransE, DistMult, ComplEx, RotatE, TuckER, HolE, ConvE
- **Fine-Tuning Capabilities** - Transfer learning with knowledge distillation
- **Model Selection** - Intelligent recommendations based on dataset characteristics
- **Link Prediction** - Head/tail/relation prediction with evaluation metrics
- **Clustering Support** - K-Means, Hierarchical, DBSCAN, Spectral clustering
- **Community Detection** - Louvain, Label propagation, Girvan-Newman
- **Visualization** - PCA, t-SNE, UMAP, Random Projection
- **Interpretability** - Similarity analysis, feature importance, counterfactuals
- **Temporal Embeddings** - Time-aware knowledge graphs
- **Performance Optimization** - Mixed precision, quantization, GPU acceleration
- **1345 tests passing** with zero warnings

## Recent Accomplishments (v0.2.2)

### Production Hardening
- ✅ **Model Validation Framework** - Comprehensive validation for embedding model quality and correctness
- ✅ **Performance Monitoring** - Real-time tracking of embedding quality metrics
- ✅ **Model Serving Infrastructure** - Production-grade serving with health checks and versioning

### Observability
- ✅ **Enhanced Monitoring** - Prometheus metrics for embedding performance
- ✅ **Quality Metrics** - Automatic tracking of embedding quality over time
- ✅ **Error Handling** - Robust error handling and recovery mechanisms

### Performance
- ✅ **GPU Optimization** - Enhanced GPU acceleration for training and inference
- ✅ **Batch Processing** - Optimized batch embedding generation
- ✅ **Memory Efficiency** - Reduced memory footprint for large-scale embeddings

## Future Roadmap

### v0.3.0 - Enhanced Models & Distribution (Q2 2026)
- [ ] Additional embedding models (GraphSAGE, GAT)
- [ ] Distributed training support
- [ ] Advanced model ensemble methods
- [ ] A/B testing framework
- [ ] Production deployment templates

### v1.0.0 - LTS Release (Q2 2026)
- [ ] Long-term support guarantees
- [ ] Enterprise features
- [ ] Comprehensive benchmarks
- [ ] Model zoo and pretrained models

## Contributing

See [CONTRIBUTING.md](../../CONTRIBUTING.md) for development guidelines.

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*OxiRS Embed v0.2.2 - Knowledge graph embeddings with production validation*