Assemblage

Back to Models and Features

Assemblage models aggregate many component predictions or ranks into a single forecast.

Pass any model string below as Arm(model=...). Extra names an optional dependency, Scaling flags whether predictors should be standardized, and Tunable counts the hyperparameters the search space exposes.

Model string	Description	Input	Extra	Scaling	Recommended preprocessing	Tunable
albacore_components	Inflation-specific component-space Albacore wrapper.	supervised	none	no	default	1
albacore_ranks	Inflation-specific rank-space Albacore wrapper.	supervised	none	no	default	1
assemblage_regression	Generic assemblage regression wrapper with component and rank variants.	supervised	none	no	default	1
component_aggregation	Component-space supervised aggregation; generic Albacorecomps primitive.	supervised	none	no	default	1
rank_aggregation	Rank-space supervised aggregation; generic Albacoreranks primitive.	supervised	none	no	default	1
supervised_aggregation	Generic constrained supervised aggregation derived from Albacore/assemblage primitives.	supervised	none	no	default	1

Reference

• Models reference page for ModelSpec, ModelFit, and fit conventions.