0002-Fixes-for-compilation.patch

From 5da5475d34cf6b32fc105f2e7f4becc8c2caea6a Mon Sep 17 00:00:00 2001
From: Ryan Curtin <ryan@ratml.org>
Date: Sun, 9 Aug 2020 21:46:34 -0400
Subject: [PATCH 2/3] Fixes for compilation.

---
 .../ann/loss_functions/soft_margin_loss.hpp   |  2 +-
 .../loss_functions/soft_margin_loss_impl.hpp  |  5 ++--
 .../bayesian_linear_regression.hpp            |  2 +-
 .../bayesian_linear_regression_impl.hpp       | 27 +++++++++----------
 4 files changed, 17 insertions(+), 19 deletions(-)

diff --git a/src/mlpack/methods/ann/loss_functions/soft_margin_loss.hpp b/src/mlpack/methods/ann/loss_functions/soft_margin_loss.hpp
index 605087511..409856024 100644
--- a/src/mlpack/methods/ann/loss_functions/soft_margin_loss.hpp
+++ b/src/mlpack/methods/ann/loss_functions/soft_margin_loss.hpp
@@ -81,7 +81,7 @@ class SoftMarginLoss
    * Serialize the layer.
    */
   template<typename Archive>
-  void serialize(Archive& ar, const unsigned int /* version */);
+  void serialize(Archive& ar);
 
  private:
   //! Locally-stored output parameter object.
diff --git a/src/mlpack/methods/ann/loss_functions/soft_margin_loss_impl.hpp b/src/mlpack/methods/ann/loss_functions/soft_margin_loss_impl.hpp
index 87fdb3f80..976dc6366 100644
--- a/src/mlpack/methods/ann/loss_functions/soft_margin_loss_impl.hpp
+++ b/src/mlpack/methods/ann/loss_functions/soft_margin_loss_impl.hpp
@@ -60,10 +60,9 @@ void SoftMarginLoss<InputDataType, OutputDataType>::Backward(
 template<typename InputDataType, typename OutputDataType>
 template<typename Archive>
 void SoftMarginLoss<InputDataType, OutputDataType>::serialize(
-    Archive& ar,
-    const unsigned int /* version */)
+    Archive& ar)
 {
-  ar & BOOST_SERIALIZATION_NVP(reduction);
+  ar & CEREAL_NVP(reduction);
 }
 
 } // namespace ann
diff --git a/src/mlpack/methods/bayesian_linear_regression/bayesian_linear_regression.hpp b/src/mlpack/methods/bayesian_linear_regression/bayesian_linear_regression.hpp
index 415f63e59..dd4974707 100644
--- a/src/mlpack/methods/bayesian_linear_regression/bayesian_linear_regression.hpp
+++ b/src/mlpack/methods/bayesian_linear_regression/bayesian_linear_regression.hpp
@@ -213,7 +213,7 @@ class BayesianLinearRegression
    * Serialize the BayesianLinearRegression model.
    **/
   template<typename Archive>
-  void serialize(Archive& ar, const unsigned int /* version */);
+  void serialize(Archive& ar);
 
  private:
   //! Center the data if true.
diff --git a/src/mlpack/methods/bayesian_linear_regression/bayesian_linear_regression_impl.hpp b/src/mlpack/methods/bayesian_linear_regression/bayesian_linear_regression_impl.hpp
index 9c4cb20f0..108a305cd 100644
--- a/src/mlpack/methods/bayesian_linear_regression/bayesian_linear_regression_impl.hpp
+++ b/src/mlpack/methods/bayesian_linear_regression/bayesian_linear_regression_impl.hpp
@@ -21,21 +21,20 @@ namespace regression {
  * Serialize the Bayesian linear regression model.
  */
 template<typename Archive>
-void BayesianLinearRegression::serialize(Archive& ar,
-                                         const unsigned int /* version */)
+void BayesianLinearRegression::serialize(Archive& ar)
 {
-  ar & BOOST_SERIALIZATION_NVP(centerData);
-  ar & BOOST_SERIALIZATION_NVP(scaleData);
-  ar & BOOST_SERIALIZATION_NVP(nIterMax);
-  ar & BOOST_SERIALIZATION_NVP(tol);
-  ar & BOOST_SERIALIZATION_NVP(dataOffset);
-  ar & BOOST_SERIALIZATION_NVP(dataScale);
-  ar & BOOST_SERIALIZATION_NVP(responsesOffset);
-  ar & BOOST_SERIALIZATION_NVP(alpha);
-  ar & BOOST_SERIALIZATION_NVP(beta);
-  ar & BOOST_SERIALIZATION_NVP(gamma);
-  ar & BOOST_SERIALIZATION_NVP(omega);
-  ar & BOOST_SERIALIZATION_NVP(matCovariance);
+  ar & CEREAL_NVP(centerData);
+  ar & CEREAL_NVP(scaleData);
+  ar & CEREAL_NVP(nIterMax);
+  ar & CEREAL_NVP(tol);
+  ar & CEREAL_NVP(dataOffset);
+  ar & CEREAL_NVP(dataScale);
+  ar & CEREAL_NVP(responsesOffset);
+  ar & CEREAL_NVP(alpha);
+  ar & CEREAL_NVP(beta);
+  ar & CEREAL_NVP(gamma);
+  ar & CEREAL_NVP(omega);
+  ar & CEREAL_NVP(matCovariance);
 }
 
 } // namespace regression
-- 
2.28.0.rc1