update implementation

src/abstractmcmc.jl

@@ -34,14 +34,12 @@ function AbstractMCMC.getparams(state::HMCState)
     return state.transition.z.θ
 end
 
-# Using @set to update state.transition.z.θ can lead to inconsistencies:
-# - It retains cached log-joint and gradient computations that become invalid
-# - This can cause incorrect evaluations in subsequent steps (e.g. MH)
-# 
-# TODO: adopt https://github.com/TuringLang/MCMCTempering.jl/blob/deb96684496f3fbd011b9f70f28c49a161def23f/ext/MCMCTemperingAdvancedHMCExt.jl#L10-L17
-# if in the future the interface provides access to the log density function
-function AbstractMCMC.setparams!!(state::HMCState, params)
-    return @set state.transition.z.θ = params
+function AbstractMCMC.setparams!!(model, state::HMCState, params)
+    hamiltonian = AdvancedHMC.Hamiltonian(state.metric, model)
+    return Setfield.@set state.transition.z = AdvancedHMC.phasepoint(
+        hamiltonian, params, state.transition.z.r;
+        ℓκ=state.transition.z.ℓκ
+    )
 end
 
 """