codez 2.0.0

• Migrated the neural backend from TensorFlow/Keras to torch.
• Added fit_codez() and codez_control() as the v2 workflow API.
• Added tidy forecast extraction via codez_forecast_tidy() and S3 helpers for predict(), summary(), autoplot(), plot(), and as.data.frame().
• Added rolling naive and average baseline backtests for numeric data.
• Added training controls for batch_size, validation_split, and n_sim.
• Fixed mixed-type detection, forward-net L2 sampling, finite-solution routing, duplicate plotter() definition, and average benchmark calculation.
• Replaced non-core convenience dependencies with local support functions for mapping, dummy encoding, interpolation, smoothing, metrics, distances, moments, entropy, array binding/splitting, timing, and plotting.

codez 1.0.0

• Added a NEWS.md file to track changes to the package.