baremetalml 1.0.0

Lightweight modular ML library from scratch in Python

BareMetalML

BareMetalML is a lightweight, modular machine learning library built from scratch in Python by Askari Abidi.
It is designed for learning, experimentation, and educational purposes, providing a clear and simple interface for core machine learning algorithms and preprocessing tools.
All models and transformers are implemented using pure NumPy, making the library easy to understand and extend.

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Features

Easy and Modular Imports

BareMetalML allows modular imports, so you don’t need to worry about the internal file structure.
For example, you can import any model or transformer like this:

from baremetalml import LinearRegression, StandardScaler

No need to know which file the class is defined in — everything is ready to use.

Core Models

Linear Regression – Ordinary Least Squares (Normal Equation) and Gradient Descent methods

Logistic Regression – Binary classification with Gradient Descent optimization

K-Nearest Neighbors (KNN) – Classification and Regression with multiple distance metrics

Preprocessing & Transformers

StandardScaler – Standardizes features to mean=0, standard deviation=1

NormalScaler – Min-max scaling to [0,1]

LabelEncoder – Converts categorical labels to integers

OneHotEncoder – Converts categorical features into one-hot encoded vectors

PolynomialFeatures – Generates polynomial and interaction features up to a given degree

Base Classes

BaseModel – Abstract base class for all models with input validation

BaseTransformer – Abstract base class for all transformers with fit, transform, and fit_transform interface

What’s Inside

BareMetalML includes:

All basic regression and classification models to start learning ML from scratch

Preprocessing tools for handling numerical and categorical data

Feature engineering utilities like polynomial feature generation

Modular structure for easy imports and extensibility

Installation

BareMetalML is available on PyPI. Install it with:

pip install baremetalml

Then import the modules you need:

from baremetalml import LinearRegression, StandardScaler, KNNClassifier

Author

Askari Abidi

Contribute & Support

BareMetalML is an open-source educational project.

Feel free to contribute, suggest improvements, or report issues on the repository.

If you find it useful, you can support the project via donations or by sharing it with others. Every contribution helps make learning ML from scratch easier and more accessible!