feat(model): gpt style decoder-only arch#16
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What I changed
Added a dataset loader, architecture, and training loop for decoder-only model for points, assists, rebound, minutes prediction. The main goal was to get points output.
Why I changed it
This model ideally is supposed to outperform a neural network. At the moment, it barely does so. Model is off by about ~5.8 points on average.
How did I test it
Ran the training loop.