- 1. Introduction
❱
- 1.1. Cargo 101
- 2. 1D Ridge regression 🦀
❱
- 2.1. Functional
❱
- 2.1.1. Loss function
- 2.1.2. Closed-form solution
- 2.1.3. Gradient descent
- 2.1.4. Putting things together
- 2.1.5. Exposing API
- 2.2. Structured
❱
- 2.2.1. Closed-form solution
- 2.2.2. Gradient descent
- 2.2.3. Trait Ridge model
- 2.3. Generics
- 2.4. Option, errors, ndarray
- 3. Simple optimizers 🦀🦀
❱
- 3.1. Trait-based
- 3.2. Enum-based
- 3.3. Adding tests
- 3.4. Using ndarray