diff --git a/gtsam/hybrid/GaussianMixture.h b/gtsam/hybrid/GaussianMixture.h
index 756e7b77b..f805c76c6 100644
--- a/gtsam/hybrid/GaussianMixture.h
+++ b/gtsam/hybrid/GaussianMixture.h
@@ -81,9 +81,9 @@ class GTSAM_EXPORT GaussianMixture
    * discreteParents will be used as the labels in the decision tree.
    */
   GaussianMixture(const KeyVector &continuousFrontals,
-                             const KeyVector &continuousParents,
-                             const DiscreteKeys &discreteParents,
-                             const Conditionals &conditionals);
+                  const KeyVector &continuousParents,
+                  const DiscreteKeys &discreteParents,
+                  const Conditionals &conditionals);
 
   /**
    * @brief Make a Gaussian Mixture from a list of Gaussian conditionals
@@ -125,4 +125,8 @@ class GTSAM_EXPORT GaussianMixture
   Sum add(const Sum &sum) const;
 };
 
+// traits
+template <>
+struct traits<GaussianMixture> : public Testable<GaussianMixture> {};
+
 }  // namespace gtsam
diff --git a/gtsam/hybrid/GaussianMixtureFactor.h b/gtsam/hybrid/GaussianMixtureFactor.h
index b3569183b..21770f836 100644
--- a/gtsam/hybrid/GaussianMixtureFactor.h
+++ b/gtsam/hybrid/GaussianMixtureFactor.h
@@ -41,7 +41,7 @@ using GaussianFactorVector = std::vector<gtsam::GaussianFactor::shared_ptr>;
  * of discrete variables indexes to the continuous gaussian distribution.
  *
  */
-class GaussianMixtureFactor : public HybridFactor {
+class GTSAM_EXPORT GaussianMixtureFactor : public HybridFactor {
  public:
   using Base = HybridFactor;
   using This = GaussianMixtureFactor;
@@ -113,4 +113,9 @@ class GaussianMixtureFactor : public HybridFactor {
   Sum add(const Sum &sum) const;
 };
 
+// traits
+template <>
+struct traits<GaussianMixtureFactor> : public Testable<GaussianMixtureFactor> {
+};
+
 }  // namespace gtsam
diff --git a/gtsam/hybrid/HybridDiscreteFactor.h b/gtsam/hybrid/HybridDiscreteFactor.h
index 572ddfbcd..9cbea8170 100644
--- a/gtsam/hybrid/HybridDiscreteFactor.h
+++ b/gtsam/hybrid/HybridDiscreteFactor.h
@@ -29,7 +29,7 @@ namespace gtsam {
  * us to hide the implementation of DiscreteFactor and thus avoid diamond
  * inheritance.
  */
-class HybridDiscreteFactor : public HybridFactor {
+class GTSAM_EXPORT HybridDiscreteFactor : public HybridFactor {
  private:
   DiscreteFactor::shared_ptr inner_;
 
@@ -61,4 +61,9 @@ class HybridDiscreteFactor : public HybridFactor {
   /// Return pointer to the internal discrete factor
   DiscreteFactor::shared_ptr inner() const { return inner_; }
 };
+
+// traits
+template <>
+struct traits<HybridDiscreteFactor> : public Testable<HybridDiscreteFactor> {};
+
 }  // namespace gtsam
diff --git a/gtsam/hybrid/HybridGaussianFactor.h b/gtsam/hybrid/HybridGaussianFactor.h
index 6fa83b726..2a92c717c 100644
--- a/gtsam/hybrid/HybridGaussianFactor.h
+++ b/gtsam/hybrid/HybridGaussianFactor.h
@@ -28,7 +28,7 @@ namespace gtsam {
  * a diamond inheritance i.e. an extra factor type that inherits from both
  * HybridFactor and GaussianFactor.
  */
-class HybridGaussianFactor : public HybridFactor {
+class GTSAM_EXPORT HybridGaussianFactor : public HybridFactor {
  private:
   GaussianFactor::shared_ptr inner_;
 
@@ -59,4 +59,9 @@ class HybridGaussianFactor : public HybridFactor {
 
   GaussianFactor::shared_ptr inner() const { return inner_; }
 };
+
+// traits
+template <>
+struct traits<HybridGaussianFactor> : public Testable<HybridGaussianFactor> {};
+
 }  // namespace gtsam
diff --git a/gtsam/hybrid/HybridGaussianFactorGraph.h b/gtsam/hybrid/HybridGaussianFactorGraph.h
index 6944af510..e7dc3dfca 100644
--- a/gtsam/hybrid/HybridGaussianFactorGraph.h
+++ b/gtsam/hybrid/HybridGaussianFactorGraph.h
@@ -71,7 +71,7 @@ struct EliminationTraits<HybridGaussianFactorGraph> {
  * This is the linearized version of a hybrid factor graph.
  * Everything inside needs to be hybrid factor or hybrid conditional.
  */
-class HybridGaussianFactorGraph
+class GTSAM_EXPORT HybridGaussianFactorGraph
     : public FactorGraph<HybridFactor>,
       public EliminateableFactorGraph<HybridGaussianFactorGraph> {
  public: