diff --git a/src/Transformations.jl b/src/Transformations.jl
index c256f05..f6d8f8e 100644
--- a/src/Transformations.jl
+++ b/src/Transformations.jl
@@ -14,7 +14,7 @@ import LearnBase: transform, transform!,
                   learn!
 # import StatsBase: logistic, logit
 import OnlineStats
-import OnlineStats: weight, Weight, BoundedEqualWeight, Variances
+import OnlineStats: weight, Weight, BoundedEqualWeight
 
 export
     input_node,
@@ -173,7 +173,7 @@ include("linear.jl")
 include("affine.jl")
 include("misc.jl")
 include("layernorm.jl")
-include("inputnorm.jl")
+# include("inputnorm.jl")
 include("activations.jl")
 include("whiten.jl")
 include("chain.jl")
diff --git a/src/inputnorm.jl b/src/inputnorm.jl
index 4bbd551..f1fba20 100644
--- a/src/inputnorm.jl
+++ b/src/inputnorm.jl
@@ -2,6 +2,9 @@
 #=
 Similar to Batch Normalization, except online and without the rescaling/skew
     y = (a .- μ) ./ σ
+
+    TODO: This is currently broken because OnlineStats.Variances no longer
+    exists. 
 =#
 type InputNorm{T,W<:Weight} <: Transformation
     n::Int  # maps n --> n