2 min read
Chapter Recovery and a Deterministic Density Study
Adding recovery and validation to the book processor, then running a structured density experiment on the output.
PythonNLPResearchCLIData
Read more
Adding recovery and validation to the book processor, then running a structured density experiment on the output.
Consolidating config into a RunSpec, adding bootstrap and Bayesian layers, and turning a research pyramid into a funnel.
The largest single day in the repo—a three-track roadmap executed as six sprints, ending with walk-forward ensembles and a filter-quality bundle.