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🔮 NeuronFlow 🔮
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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