Feature Extraction

Turns a log into a table a model can learn from: one row per case, per prefix, or per object, and one column per thing about it. The result is a real table — queryable, joinable, exportable, readable from the Python notebook — not a blob. Targets and a train/test split come with it, and a feature that would give the answer away is left out rather than quietly leaking it.