bahafn/from-scratch-linear-regression

How bahafn/from-scratch-linear-regression works

This is a small C linear-regression example, not a general data platform. Its main workflow reads a numeric CSV dataset, splits it into training and test sets, fits feature scaling on the training set and applies it to both sets, trains a least-squares model, predicts test targets, and reports regression metrics. The implementation also provides matrix storage and a linear-system solver beneath model training. Some implementation details, including prediction and metric internals, were not sampled; the map shows only their documented or explicit use.

Main entry points: main.c Example runner · linear_regression.c CSV reader · matrix.c Linear solver · linear_regression.h Dataset storage

Components 15

Example workflow

Example runner src/main.c
Printed results src/main.c

Dataset preparation

CSV reader src/linear_regression.c
Numeric parsing src/string_utils.h
Dataset storage src/linear_regression.h
Train/test split src/linear_regression.c
Fit min-max scaling src/linear_regression.c
Transform features src/linear_regression.c

Regression and math

Train model src/linear_regression.c
Build normal equation src/linear_regression.c
Matrix operations src/matrix.c
Linear solver src/matrix.c
Batch prediction src/linear_regression.c
Regression metrics src/linear_regression.c

Other components

CSV dataset

Connections 16

CSV dataset → Example runner: starts example
Example runner → CSV reader: reads CSV
CSV reader → Numeric parsing: parses values
CSV reader → Dataset storage: creates dataset
Example runner → Train/test split: splits dataset
Train/test split → Dataset storage: creates subsets
Example runner → Fit min-max scaling: fits on train
Example runner → Transform features: transforms subsets
Example runner → Train model: trains on train
Train model → Build normal equation: builds equation
Build normal equation → Matrix operations: uses matrix data
Train model → Linear solver: solves system
Linear solver → Matrix operations: uses matrix operations
Example runner → Batch prediction: predicts test rows
Example runner → Regression metrics: calculates metrics
Example runner → Printed results: prints model and metrics

More C diagrams: lua/lua · flipper-xfw/xtreme-firmware · ahrm/sioyek · xmrig/xmrig · floooh/sokol

Drawn by GitDiagram on September 26, 2026 from the repository's file tree, README and source files. Read as Markdown ·