avish-lib 0.1.0

Lightweight custom ML algorithms library (avish_lib)

avish_lib

avish_lib is a small collection of custom machine-learning algorithms implemented with minimal dependencies (NumPy).

Install for local development:

python -m pip install -e .

Quick usage:

from avish_lib import LinearRegression, RidgeRegression, KNNRegressor, PCA

# Simple linear fit
X = [[1], [2], [3], [4]]
y = [2, 4, 6, 8]
model = LinearRegression()
model.fit(X, y)
print("coef:", model.coef_, "intercept:", model.intercept_)

# PCA example
p = PCA(n_components=1)
X_reduced = p.fit_transform([[1,2],[3,4],[5,6]])
print(X_reduced)

Project layout:

your_project_name/
├── src/
│   └── avish_lib/
│       ├── __init__.py
│       └── linear_models.py
├── tests/
├── pyproject.toml
├── README.md
└── LICENSE