API Overview

The num.zig library is organized into several modules:

• core: Core data structures like NDArray.
• math: Mathematical functions and SIMD operations.
• linalg: Linear algebra routines.
• stats: Statistical functions.
• random: Random number generation.
• ml: Machine learning primitives (Layers, Models, Optimizers).
• fft: Fast Fourier Transform.
• signal: Signal processing.
• poly: Polynomial operations.
• io: Input/Output operations (NPY, CSV, etc.).
• autograd: Automatic differentiation.
• indexing: Advanced indexing and slicing.
• manipulation: Array shape and content manipulation.
• complex: Complex number support.
• setops: Set operations for arrays.
• sort: Sorting algorithms.
• algo: General algorithms and data structures.
• interpolate: Interpolation functions.
• sparse: Sparse matrix support.
• dataframe: Dataframe and Series structures.
• optimize: Optimization algorithms.

Explore the sidebar for detailed documentation on each module.