Advanced Topics

This section covers customization options beyond the basic fit() call. These features are useful for improving fitting accuracy through data normalization, incorporating prior knowledge about the Bézier simplex, or scaling your training to specialized hardware.

• Data Normalization
• Initial Control Points
• Smoothness Regularization
• Automatic Degree Selection
• Partial Training
• Hardware Acceleration
• Bézier Simplex Visualization
• Scikit-learn Integration
• Active Learning