Materialise this algorithm’s post-tuning evaluation: a simulation of the tuned model over the experiment’s full duration, recorded as algorithm. False keeps only the tuned parameters and state, which is all a dependency of another algorithm contributes - the algorithm that follows supersedes its observations - while the evaluation itself costs a complete run of the experiment’s duration.
name: evaluatedescription:'Materialise this algorithm''s post-tuning evaluation: a simulation of the tuned model over the experiment''s full duration, recorded as algorithm__<name>__<observation>. False keeps only the tuned parameters and state, which is all a dependency of another algorithm contributes - the algorithm that follows supersedes its observations - while the evaluation itself costs a complete run of the experiment''s duration.'from_schema: https://w3id.org/tvborank:1000ifabsent: boolean(true)owner: Algorithmdomain_of:- Algorithmrange: boolean