Expand description
Specialized optimizers for machine learning applications
This module provides optimization algorithms specifically designed for machine learning tasks, including regularized optimization, feature selection, and deep learning optimizers with advanced features.
Modules§
- ml_
problems - Convenience functions for common ML optimization problems
Structs§
- ADMM
Optimizer - ADMM (Alternating Direction Method of Multipliers) optimizer for general constrained problems
- Coordinate
Descent Optimizer - Coordinate Descent optimizer for separable problems
- Elastic
NetOptimizer - Elastic Net optimizer (L1 + L2 regularization)
- Group
Lasso Optimizer - Group Lasso optimizer for grouped feature selection
- Lasso
Optimizer - L1 regularization (Lasso) optimizer using proximal gradient descent