Module comparison

Module comparison 

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Comprehensive comparison framework for proving performance claims

This module provides undeniable proof by comparing:

  1. Traditional PyTorch-style implementation
  2. NumPy-style implementation
  3. Standard Rust neural network
  4. Our temporal neural solver

All implementations use IDENTICAL architecture: 128 -> 32 -> 4

Structs§

BenchmarkStats
Statistical results for proper comparison
ComparisonBenchmark
Complete comparison suite

Functions§

validate_accuracy
Accuracy validation to prove correctness