vintage_policy
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Axis
vintage_policyon sub-layerl1_a(layerl1).
Sub-layer
l1_a
Axis metadata
Default:
'current_vintage'Sweepable: False
Status: operational
Operational status summary
Operational: 1 option(s)
Future: 1 option(s)
Options
current_vintage – operational
Use the latest available vintage of the dataset.
Loads the most recent FRED-MD/QD/SD snapshot bundled with the package. No real-time vintage tracking; revisions that happened after the snapshot date are not reflected.
This is the only operational option in v1.0. Real-time vintages (ALFRED-style) are tracked as a future axis – see GitHub issues #XXX.
When to use
Default for any pseudo-out-of-sample study using revised data.
When NOT to use
Real-time forecasting evaluations – those need ALFRED vintages.
References
macroforecast design Part 1, L1: ‘data definition is the recipe layer that pins source, target, geography, and horizon – everything downstream branches off these choices.’
Related options: information_set_type
Last reviewed 2026-05-04 by macroforecast author.
real_time_alfred – future
(no schema description for real_time_alfred)
TBD: option doc not yet authored for this value. The encyclopedia falls back to the bare schema description above. PRs adding a full
OptionDocentry undermacroforecast/scaffold/option_docs/l1.pyare welcome.