Popular predictive models and optimizers implemented in numpy

Sep 05, 2021 1 min read

Hand Crafted Models

Simple linear model implementations from scratch.

Table of contents

Overview
Project Structure
Getting started
Citing this project

1. Overview

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.

2. Project Structure

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

3. Getting Started

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

4. Citing the Project

@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}},
}

GitHub

John was the first writer to have joined pythonawesome.com. He has since then inculcated very effective writing and reviewing culture at pythonawesome which rivals have found impossible to imitate.