🧠 Metanion - Zero-Weight Symbolic Tensor Engine

Metanion is a revolutionary tensor engine where weights are symbolic expressions, not numbers. It learns mathematical relationships using Genetic Programming and JIT compilation.

🎯 Why Metanion?

• ✅ No Numerical Weights - Only operation sequences stored
• ✅ Explainable - Outputs human-readable equations
• ✅ Fast - JIT compiled to Python bytecode
• ✅ Differentiable - Full symbolic differentiation
• ✅ Lightweight - Minimal memory footprint

🚀 Quick Start

from metanion import create_model, train, predict
import numpy as np

# Create data: y = 2*x + 1 + noise
X = np.random.randn(200, 1)
y = 2 * X[:, 0] + 1 + 0.1 * np.random.randn(200)

# Create and train model
model = create_model([1, 10, 1])
train(X, y, epochs=30)

# Make predictions
predictions = predict(X)

# Get the learned equation
print(model._best_individual.get_expression())