LeanMachineLearning

Learning.Environment.obs0๐Ÿ”—

Definition

From the authors

Distribution of the first observation: the observation kernel at time 0 applied to the empty history.

Types
  • ๐“ž : Type u_1m๐“ž : MeasurableSpace ๐“žA measurable space is a space equipped with a ฯƒ-algebra.
  • ๐“ : Type u_2m๐“ : MeasurableSpace ๐“
  • ๐“จ : Type u_3m๐“จ : MeasurableSpace ๐“จ
Given
Result
MeasureTheory.Measure ๐“ž
A measure is defined to be an outer measure that is countably additive on measurable sets, with the additional assumption that the outer measure is the canonical extension of the restricted measure.
Body
(env.obs 0) default
Code
def Environment.obs0 (env : Environment ๐“ž ๐“ ๐“จ) : Measure ๐“ž :=
  env.obs 0 default
deriving IsProbabilityMeasure

Meaning last changed in v4.34.0-rc2-76-g565f652 (2026-09-10).

Self-contained, with its dependencies inlined and proofs replaced by sorry: download the raw file ยท open it in the Lean web editor.

Dependency graph

Audit surface: 3 project declarations, 16 external constants

โœ“ Proved: no sorry anywhere in its closure

This is the tool's own reading of one build's recorded axioms, and it is not robust against an author who wants it to pass. Checking meant to be relied on should go through Comparator, which replays the proof through the kernel from an export against an explicit list of permitted axioms.