small fixes

src/SerializationMKD.jl

@@ -9,7 +9,7 @@ import DistributedFactorGraphs: getVariableType
 
 export PackedManifoldKernelDensity
 
-# NOTE, user factors will require the same definitions
+# NOTE, user variables and manifolds will require the same definitions, TODO perhaps add into `@defVariable`
 # unusual definitions, but all they need to do is pack and unpack as one-to-one
 # this step actually occurs separate from the actual variables or factors (with their own manifolds) 
 # relies on later use of getManifold to give back the same <:AbstractManifold
@@ -61,7 +61,6 @@ Base.convert(::Type{<:PackedSamplableBelief}, mkd::ManifoldKernelDensity) = conv
 #  https://discourse.julialang.org/t/converting-string-to-datatype-with-meta-parse/33024/2
 #  https://discourse.julialang.org/t/is-there-a-way-to-import-modules-with-a-string/15723/6
 function Base.convert(::Type{<:ManifoldKernelDensity}, str::AbstractString)
-  @info "UNPACK MKD" str
   data = JSON2.read(str, PackedManifoldKernelDensity)
 
   # piggy back on serialization of InferenceVariable rather than try serialize anything Manifolds.jl
@@ -74,4 +73,4 @@ end
 
 
 
-#
+#