Simple linear model implementations from scratch.
Table of contents
- Overview
- Project Structure
- Getting started
- Citing this project
The repo consists of popular predictive linear models (i.e., linear and logistic regressions) and is intended for educational purposes to demonstrate the mathematics behind the models.
hand_crafted_models/
activations.py ...Activation function implementations
linear_regression.py ...Linear regression implementations
logistic_regression.py ...Logistic regression implementation
loss_functions.py ...Loss function implementations
optimization.py ...Optimizer implementations
utils.py ...Commonly used functions
requirements.txt ...project dependencies
setup.py
- Clone the project
git clone https://github.com/sadighian/hand_crafted_models.git
- Create a virtual environment
cd hand_crafted_models # Change to project directory
virtualenv -p python3 venv # Create the virtual environment
source venv/bin/activate # Start using the venv
- Install the project and its dependencies
pip3 install -e . # Execute command inside install directory
- Fit linear models with sample data
python3 tests/tests.py
@misc{Hand Crafted Models,
author = {Jonathan Sadighian},
title = {Hand Crafted Models: Simple linear model implementations},
year = {2021},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {\url{https://github.com/sadighian/hand_crafted_models}},
}