High-performance non-linear K-Regressor (v19, predict=stream).
Project description
⚡ K-Reg (KRegressor)
The Linear Regression Killer. Faster than C-optimized linear algebra. More accurate thanks to non-linearity. Stable on small data.
KRegressor is a drop-in replacement for Scikit-Learn's LinearRegression.
🚀 Benchmark
| Dataset Size | Model | Time | R² Score |
|---|---|---|---|
| Small (N=50) | LinearRegression | 1.0ms | 0.87 |
| KRegressor | 0.5ms | 0.97 | |
| Huge (N=500k) | LinearRegression | 380ms | 0.75 |
| KRegressor | 80ms | 0.92 |
📦 Installation
pip install k-reg==2.0.0
✅ v2.0.0 notes
- Default inference is
predict_mode="stream"(noX_augallocation) - v19 adds interaction autopilot (feature selection + (A+B)/(A-B) interactions)
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