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🔮 NeuronFlow 🔮

Python Version Build Status License

A lightweight machine learning library written in Python.


🌌 Overview

NeuronFlow is a Python package designed for building, training, and evaluating machine learning models. Whether you're a beginner or a seasoned professional, this library provides tools for quick prototyping and production-level model development.

Features include:

  • 🧠 Customizable Models: Build custom models from scratch using an intuitive API.
  • Optimized for Performance: Built-in optimizations for faster training.
  • 📊 Evaluation Tools: Built-in metrics and visualizations for evaluating models.
  • 💡 Explainability: Model insights for transparency and debugging.

🌟 Models Available

  • Linear Models:
    • Linear Regression
    • Multiple Linear Regression

🚀 Installation

pip install neuronflow

How To Use

import neuronflow as nf

#Regression
from neuronflow import regerssion

#Linear Regression
X=np.array([1,2,3,4])
Y=np.array([5,6,7,8])
model=nf.regression.linear(X,Y)
model.fit() 
#Inference 
value=model.value(np.array([9,10]))

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