remove condition and decondition

src/AbstractMCMC.jl

@@ -80,40 +80,6 @@ The `MCMCSerial` algorithm allows users to sample serially, with no thread or pr
 """
 struct MCMCSerial <: AbstractMCMCEnsemble end
 
-"""
-    decondition(conditioned_model)
-
-Remove the conditioning (i.e., observation data) from `conditioned_model`, turning it into a
-generative model over prior and observed variables.
-
-The invariant 
-
-```
-m == condition(decondition(m), obs)
-```
-
-should hold for models `m` with conditioned variables `obs`.
-"""
-function decondition end
-
-"""
-    condition(model, observations)
-
-Condition the generative model `model` on some observed data, creating a new model of the (possibly
-unnormalized) posterior distribution over them.
-
-`observations` can be of any supported internal trace type, or a fixed probability expression.
-
-The invariant 
-
-```
-m = decondition(condition(m, obs))
-```
-
-should hold for generative models `m` and arbitrary `obs`.
-"""
-function condition end
-
 """
     recompute_logprob!!(rng, model, sampler, state)