Lean 4 formalization of the decision tree + MLP ensemble architecture. Axiomatizes Float properties (sigmoid bounds, ReLU nonnegativity) since Lean's Float ops are extern-backed. Proves MLP output is bounded in (0,1) and ensemble output is always a valid decision. No mathlib dependency. Signed-off-by: Sienna Meridian Satterwhite <sienna@sunbeam.pt>
24 lines
697 B
Lean4
24 lines
697 B
Lean4
import Sunbeam.Model.Basic
|
|
|
|
namespace Sunbeam
|
|
|
|
/-- A decision tree node (inductive = automatic termination for structural recursion). -/
|
|
inductive TreeNode where
|
|
| leaf (decision : Decision) : TreeNode
|
|
| split (featureIdx : Nat) (threshold : Float) (left right : TreeNode) : TreeNode
|
|
deriving Repr
|
|
|
|
/-- Tree prediction by structural recursion (termination is automatic). -/
|
|
def treePredictAux {n : Nat} (input : Fin n → Float) : TreeNode → Decision
|
|
| .leaf d => d
|
|
| .split idx thr left right =>
|
|
if h : idx < n then
|
|
if input ⟨idx, h⟩ ≤ thr then
|
|
treePredictAux input left
|
|
else
|
|
treePredictAux input right
|
|
else
|
|
Decision.defer
|
|
|
|
end Sunbeam
|