A Machine Learning library written in C

An educational project to implement some features of a machine learning framework in C. This is not intended for real-world use.

Features (TODO)

• Data loader for CSV
• A naive implementation of matrix operations
• Autograd feature
• Config serialize/deserialize
• Checkpoint saving
• Example algorithms
  • Gradient descent for linear regression

Project structures

• src:
  • data.c & data.h: data definition and data handling, such as Point, Matrix, Dynamic string.
  • io.c & io.h: for read/writing configs, checkpoints, etc.
  • custom_math.c & custom_math.h: for math functions like matrix multiplications.
  • gradient_descent.c & gradient_descent.h: an example for gradient descent.
  • utils.c & utils.h: utility functions.
• tests: unit testing, using Check

Dependencies

• libcsv for CSV parsing.
• check for unit testing.

How to build

• GNU Autotools are required to generate build files

./autogen.sh
make
# Run tests
make check

• To remove all build files, run ./autoremove.sh

Misc.

Coding conventions

• C99 compatible.
• Make a best effort to follow C89, except in cases where it makes the code harder to read (e.g., the rule for 6 significant characters for external variable names).
• Only use goto for cleaning up in error handling, as C does not support exceptions.