diff --git a/HISTORY.md b/HISTORY.md
index 3e93518e1b8..288ea6d5343 100644
--- a/HISTORY.md
+++ b/HISTORY.md
@@ -38,6 +38,8 @@
 
   * Refactor LSH to allow loading and saving of models.
 
+  * ToString() is removed entirely.
+
 ### mlpack 1.0.11
 ###### 2014-12-11
   * Proper handling of dimension calculation in PCA.
diff --git a/src/mlpack/core.hpp b/src/mlpack/core.hpp
index dc9a8c2604a..c7076a25cfc 100644
--- a/src/mlpack/core.hpp
+++ b/src/mlpack/core.hpp
@@ -159,7 +159,6 @@
 #include <mlpack/core/util/arma_traits.hpp>
 #include <mlpack/core/util/log.hpp>
 #include <mlpack/core/util/cli.hpp>
-#include <mlpack/core/util/ostream_extra.hpp>
 #include <mlpack/core/data/load.hpp>
 #include <mlpack/core/data/save.hpp>
 #include <mlpack/core/data/normalize_labels.hpp>
diff --git a/src/mlpack/core/dists/discrete_distribution.cpp b/src/mlpack/core/dists/discrete_distribution.cpp
index 8441bae8300..f68a7d91416 100644
--- a/src/mlpack/core/dists/discrete_distribution.cpp
+++ b/src/mlpack/core/dists/discrete_distribution.cpp
@@ -103,21 +103,3 @@ void DiscreteDistribution::Estimate(const arma::mat& observations,
   else
     probabilities.fill(1 / probabilities.n_elem); // Force normalization.
 }
-
-/**
- * Returns a string representation of this object.
- */
-std::string DiscreteDistribution::ToString() const
-{
-  std::ostringstream convert;
-  convert << "DiscreteDistribution [" << this << "]" << std::endl;
-
-  // Secondary object so we can indent the probabilities.
-  std::ostringstream prob;
-  prob << "Probabilities:" << std::endl;
-  prob << probabilities;
-
-  convert << util::Indent(prob.str());
-  return convert.str();
-}
-
diff --git a/src/mlpack/core/dists/discrete_distribution.hpp b/src/mlpack/core/dists/discrete_distribution.hpp
index 05cbd95f246..ef8cc55589c 100644
--- a/src/mlpack/core/dists/discrete_distribution.hpp
+++ b/src/mlpack/core/dists/discrete_distribution.hpp
@@ -163,11 +163,6 @@ class DiscreteDistribution
     ar & data::CreateNVP(probabilities, "probabilities");
   }
 
-  /*
-   * Returns a string representation of this object.
-   */
-  std::string ToString() const;
-
  private:
   arma::vec probabilities;
 };
diff --git a/src/mlpack/core/dists/gaussian_distribution.cpp b/src/mlpack/core/dists/gaussian_distribution.cpp
index 0d7eb6cf4fa..02c69bc8b5f 100644
--- a/src/mlpack/core/dists/gaussian_distribution.cpp
+++ b/src/mlpack/core/dists/gaussian_distribution.cpp
@@ -201,20 +201,3 @@ void GaussianDistribution::Estimate(const arma::mat& observations,
 
   FactorCovariance();
 }
-
-/**
- * Returns a string representation of this object.
- */
-std::string GaussianDistribution::ToString() const
-{
-  std::ostringstream convert;
-  convert << "GaussianDistribution [" << this << "]" << std::endl;
-
-  // Secondary ostringstream so things can be indented right.
-  std::ostringstream data;
-  data << "Mean: " << std::endl << mean;
-  data << "Covariance: " << std::endl << covariance;
-
-  convert << util::Indent(data.str());
-  return convert.str();
-}
diff --git a/src/mlpack/core/dists/gaussian_distribution.hpp b/src/mlpack/core/dists/gaussian_distribution.hpp
index e84aff10c36..88844c301be 100644
--- a/src/mlpack/core/dists/gaussian_distribution.hpp
+++ b/src/mlpack/core/dists/gaussian_distribution.hpp
@@ -153,14 +153,8 @@ class GaussianDistribution
     ar & CreateNVP(logDetCov, "logDetCov");
   }
 
-  /**
-   * Returns a string representation of this object.
-   */
-  std::string ToString() const;
-
  private:
   void FactorCovariance();
-
 };
 
 /**
diff --git a/src/mlpack/core/dists/laplace_distribution.cpp b/src/mlpack/core/dists/laplace_distribution.cpp
index 9bdea5968e5..213c8251896 100644
--- a/src/mlpack/core/dists/laplace_distribution.cpp
+++ b/src/mlpack/core/dists/laplace_distribution.cpp
@@ -75,17 +75,3 @@ void LaplaceDistribution::Estimate(const arma::mat& observations,
     scale += probabilities(i) * arma::norm(observations.col(i) - mean, 2);
   scale /= arma::accu(probabilities);
 }
-
-//! Returns a string representation of this object.
-std::string LaplaceDistribution::ToString() const
-{
-  std::ostringstream convert;
-  convert << "LaplaceDistribution [" << this << "]" << std::endl;
-
-  std::ostringstream data;
-  data << "Mean: " << std::endl << mean.t();
-  data << "Scale: " << scale << "." << std::endl;
-
-  convert << util::Indent(data.str());
-  return convert.str();
-}
diff --git a/src/mlpack/core/dists/laplace_distribution.hpp b/src/mlpack/core/dists/laplace_distribution.hpp
index 96fe911babc..52d86a55f9c 100644
--- a/src/mlpack/core/dists/laplace_distribution.hpp
+++ b/src/mlpack/core/dists/laplace_distribution.hpp
@@ -145,9 +145,6 @@ class LaplaceDistribution
     ar & data::CreateNVP(scale, "scale");
   }
 
-  //! Return a string representation of the object.
-  std::string ToString() const;
-
  private:
   //! Mean of the distribution.
   arma::vec mean;
diff --git a/src/mlpack/core/dists/regression_distribution.cpp b/src/mlpack/core/dists/regression_distribution.cpp
index 39b29cc6e73..7406f91bd0a 100644
--- a/src/mlpack/core/dists/regression_distribution.cpp
+++ b/src/mlpack/core/dists/regression_distribution.cpp
@@ -10,24 +10,6 @@
 using namespace mlpack;
 using namespace mlpack::distribution;
 
-/**
- * Returns a string representation of this object.
- */
-std::string RegressionDistribution::ToString() const
-{
-  std::ostringstream convert;
-  convert << "HMMRegression [" << this << "]" << std::endl;
-
-  // Secondary ostringstream so things can be indented right.
-  std::ostringstream data;
-  data << "Conditional mean function: " << std::endl << rf.ToString();
-  data << "Parameters: " << std::endl << rf.Parameters();
-  data << "Error distribution: " << std::endl << err.ToString();
-
-  convert << util::Indent(data.str());
-  return convert.str();
-}
-
 /**
  * Estimate parameters using provided observation weights
  *
diff --git a/src/mlpack/core/dists/regression_distribution.hpp b/src/mlpack/core/dists/regression_distribution.hpp
index 3c81e3f5e43..e59c08684f1 100644
--- a/src/mlpack/core/dists/regression_distribution.hpp
+++ b/src/mlpack/core/dists/regression_distribution.hpp
@@ -63,11 +63,6 @@ class RegressionDistribution
     ar & data::CreateNVP(err, "err");
   }
 
-  /**
-   * Returns a string representation of this object.
-   */
-  std::string ToString() const;
-
   //! Return regression function.
   const regression::LinearRegression& Rf() const { return rf; }
   //! Modify regression function.
diff --git a/src/mlpack/core/kernels/cosine_distance.hpp b/src/mlpack/core/kernels/cosine_distance.hpp
index 1f5f428356b..2f672d18d18 100644
--- a/src/mlpack/core/kernels/cosine_distance.hpp
+++ b/src/mlpack/core/kernels/cosine_distance.hpp
@@ -35,16 +35,6 @@ class CosineDistance
   template<typename VecTypeA, typename VecTypeB>
   static double Evaluate(const VecTypeA& a, const VecTypeB& b);
 
-  /**
-   * Returns a string representation of this object.
-   */
-  std::string ToString() const
-  {
-    std::ostringstream convert;
-    convert << "CosineDistance [" << this << "]" << std::endl;
-    return convert.str();
-  }
-
   //! Serialize the class (there's nothing to save).
   template<typename Archive>
   void Serialize(Archive& /* ar */, const unsigned int /* version */) const { }
diff --git a/src/mlpack/core/kernels/epanechnikov_kernel.cpp b/src/mlpack/core/kernels/epanechnikov_kernel.cpp
index cc3bcef39ad..5707f44e0fc 100644
--- a/src/mlpack/core/kernels/epanechnikov_kernel.cpp
+++ b/src/mlpack/core/kernels/epanechnikov_kernel.cpp
@@ -63,14 +63,3 @@ double EpanechnikovKernel::GradientForSquaredDistance(const double
     return arma::datum::nan;
   }
 }
-
-// Return string of object.
-std::string EpanechnikovKernel::ToString() const
-{
-  std::ostringstream convert;
-  convert << "EpanechnikovKernel [" << this << "]" << std::endl;
-  convert << "  Bandwidth: " << bandwidth << std::endl;
-  convert << "  Inverse squared bandwidth: ";
-  convert << inverseBandwidthSquared << std::endl;
-  return convert.str();
-}
diff --git a/src/mlpack/core/kernels/epanechnikov_kernel.hpp b/src/mlpack/core/kernels/epanechnikov_kernel.hpp
index 24826e9cdd5..324900f811a 100644
--- a/src/mlpack/core/kernels/epanechnikov_kernel.hpp
+++ b/src/mlpack/core/kernels/epanechnikov_kernel.hpp
@@ -89,9 +89,6 @@ class EpanechnikovKernel
   template<typename Archive>
   void Serialize(Archive& ar, const unsigned int version);
 
-  //! Returns string representation of object.
-  std::string ToString() const;
-
  private:
   //! Bandwidth of the kernel.
   double bandwidth;
diff --git a/src/mlpack/core/kernels/example_kernel.hpp b/src/mlpack/core/kernels/example_kernel.hpp
index 09f92a6c2b0..04fd66f0a37 100644
--- a/src/mlpack/core/kernels/example_kernel.hpp
+++ b/src/mlpack/core/kernels/example_kernel.hpp
@@ -104,18 +104,6 @@ class ExampleKernel
   template<typename Archive>
   void Serialize(Archive& /* ar */, const unsigned int /* version */) const { }
 
-  /**
-   * Returns a string for the kernel object; in this case, with only the memory
-   * address for the kernel. If your kernel has any members, your ToString()
-   * method should include those as neccessary as well.
-   **/
-  std::string ToString() const
-  {
-    std::ostringstream convert;
-    convert << "ExampleKernel [" << this << "]" << std::endl;
-    return convert.str();
-  }
-
   /**
    * Obtains the convolution integral [integral K(||x-a||)K(||b-x||)dx]
    * for the two vectors.  In this case, because
diff --git a/src/mlpack/core/kernels/gaussian_kernel.hpp b/src/mlpack/core/kernels/gaussian_kernel.hpp
index 4977d3065de..dbe5fe9b3e2 100644
--- a/src/mlpack/core/kernels/gaussian_kernel.hpp
+++ b/src/mlpack/core/kernels/gaussian_kernel.hpp
@@ -147,15 +147,6 @@ class GaussianKernel
     ar & data::CreateNVP(gamma, "gamma");
   }
 
-  //! Convert object to string.
-  std::string ToString() const
-  {
-    std::ostringstream convert;
-    convert << "GaussianKernel [" << this << "]" << std::endl;
-    convert << "  Bandwidth: " << bandwidth << std::endl;
-    return convert.str();
-  }
-
  private:
   //! Kernel bandwidth.
   double bandwidth;
diff --git a/src/mlpack/core/kernels/hyperbolic_tangent_kernel.hpp b/src/mlpack/core/kernels/hyperbolic_tangent_kernel.hpp
index 1fd35ecebca..3018b300e13 100644
--- a/src/mlpack/core/kernels/hyperbolic_tangent_kernel.hpp
+++ b/src/mlpack/core/kernels/hyperbolic_tangent_kernel.hpp
@@ -75,16 +75,6 @@ class HyperbolicTangentKernel
     ar & data::CreateNVP(offset, "offset");
   }
 
-  //! Convert object to string.
-  std::string ToString() const
-  {
-    std::ostringstream convert;
-    convert << "HyperbolicTangentKernel [" << this << "]" << std::endl;
-    convert << "  Scale: " << scale << std::endl;
-    convert << "  Offset: " << offset << std::endl;
-    return convert.str();
-  }
-
  private:
   double scale;
   double offset;
diff --git a/src/mlpack/core/kernels/laplacian_kernel.hpp b/src/mlpack/core/kernels/laplacian_kernel.hpp
index 7625e4396da..92e92316fc1 100644
--- a/src/mlpack/core/kernels/laplacian_kernel.hpp
+++ b/src/mlpack/core/kernels/laplacian_kernel.hpp
@@ -98,15 +98,6 @@ class LaplacianKernel
     ar & data::CreateNVP(bandwidth, "bandwidth");
   }
 
-  //! Return a string representation of the kernel.
-  std::string ToString() const
-  {
-    std::ostringstream convert;
-    convert << "LaplacianKernel [" << this << "]" << std::endl;
-    convert << "  Bandwidth: " << bandwidth << std::endl;
-    return convert.str();
-  }
-
  private:
   //! Kernel bandwidth.
   double bandwidth;
diff --git a/src/mlpack/core/kernels/linear_kernel.hpp b/src/mlpack/core/kernels/linear_kernel.hpp
index bed74a12144..0aac392fc86 100644
--- a/src/mlpack/core/kernels/linear_kernel.hpp
+++ b/src/mlpack/core/kernels/linear_kernel.hpp
@@ -53,14 +53,6 @@ class LinearKernel
   //! Serialize the kernel (it has no members... do nothing).
   template<typename Archive>
   void Serialize(Archive& /* ar */, const unsigned int /* version */) const { }
-
-  //! Return a string representation of the kernel.
-  std::string ToString() const
-  {
-    std::ostringstream convert;
-    convert << "LinearKernel [" << this << "]" << std::endl;
-    return convert.str();
-  }
 };
 
 } // namespace kernel
diff --git a/src/mlpack/core/kernels/polynomial_kernel.hpp b/src/mlpack/core/kernels/polynomial_kernel.hpp
index 1e06a77df50..cbed23dee54 100644
--- a/src/mlpack/core/kernels/polynomial_kernel.hpp
+++ b/src/mlpack/core/kernels/polynomial_kernel.hpp
@@ -70,16 +70,6 @@ class PolynomialKernel
     ar & data::CreateNVP(offset, "offset");
   }
 
-  //! Return a string representation of the kernel.
-  std::string ToString() const
-  {
-    std::ostringstream convert;
-    convert << "PolynomialKernel [" << this << "]" << std::endl;
-    convert << "  Degree: " << degree << std::endl;
-    convert << "  Offset: " << offset << std::endl;
-    return convert.str();
-  }
-
  private:
   //! The degree of the polynomial.
   double degree;
diff --git a/src/mlpack/core/kernels/pspectrum_string_kernel.hpp b/src/mlpack/core/kernels/pspectrum_string_kernel.hpp
index d17475fb214..524488e3edc 100644
--- a/src/mlpack/core/kernels/pspectrum_string_kernel.hpp
+++ b/src/mlpack/core/kernels/pspectrum_string_kernel.hpp
@@ -95,20 +95,6 @@ class PSpectrumStringKernel
   //! Modify the value of p.
   size_t& P() { return p; }
 
-   /*
-   * Returns a string representation of this object.
-   */
-  std::string ToString() const{
-    std::ostringstream convert;
-    convert << "PSpectrumStringKernel [" << this << "]" << std::endl;
-    convert << "  p used: " << p << std::endl;
-    convert << "  Dataset:" << datasets.size() << std::endl;
-    std::ostringstream convertb;
-    for (size_t ind=0; ind < datasets.size(); ind++)
-      convertb << datasets[ind].size();
-    convert << mlpack::util::Indent(convertb.str(),2);
-    return convert.str();
-  }
  private:
   //! The datasets.
   const std::vector<std::vector<std::string> >& datasets;
diff --git a/src/mlpack/core/kernels/spherical_kernel.hpp b/src/mlpack/core/kernels/spherical_kernel.hpp
index 30481f12926..9959987fc44 100644
--- a/src/mlpack/core/kernels/spherical_kernel.hpp
+++ b/src/mlpack/core/kernels/spherical_kernel.hpp
@@ -107,15 +107,6 @@ class SphericalKernel
     ar & data::CreateNVP(bandwidthSquared, "bandwidthSquared");
   }
 
-  //! Return a string representation of the kernel.
-  std::string ToString() const
-  {
-    std::ostringstream convert;
-    convert << "SphericalKernel [" << this << "]" << std::endl;
-    convert << "  Bandwidth: " << bandwidth << std::endl;
-    return convert.str();
-  }
-
  private:
   double bandwidth;
   double bandwidthSquared;
diff --git a/src/mlpack/core/kernels/triangular_kernel.hpp b/src/mlpack/core/kernels/triangular_kernel.hpp
index c59e9035f40..d14014b2c2f 100644
--- a/src/mlpack/core/kernels/triangular_kernel.hpp
+++ b/src/mlpack/core/kernels/triangular_kernel.hpp
@@ -87,15 +87,6 @@ class TriangularKernel
     ar & data::CreateNVP(bandwidth, "bandwidth");
   }
 
-  //! Return a string representation of the kernel.
-  std::string ToString() const
-  {
-    std::ostringstream convert;
-    convert << "TriangularKernel [" << this << "]" << std::endl;
-    convert << "  Bandwidth: " << bandwidth << std::endl;
-    return convert.str();
-  }
-
  private:
   //! The bandwidth of the kernel.
   double bandwidth;
diff --git a/src/mlpack/core/math/range.hpp b/src/mlpack/core/math/range.hpp
index 09112e06d91..70afa63dee5 100644
--- a/src/mlpack/core/math/range.hpp
+++ b/src/mlpack/core/math/range.hpp
@@ -161,12 +161,6 @@ class Range
    */
   template<typename Archive>
   void Serialize(Archive& ar, const unsigned int version);
-
-  /**
-   * Returns a string representation of an object.
-   */
-  inline std::string ToString() const;
-
 };
 
 } // namespace math
diff --git a/src/mlpack/core/math/range_impl.hpp b/src/mlpack/core/math/range_impl.hpp
index ec2d406bc4e..28631db224a 100644
--- a/src/mlpack/core/math/range_impl.hpp
+++ b/src/mlpack/core/math/range_impl.hpp
@@ -182,15 +182,6 @@ void Range::Serialize(Archive& ar, const unsigned int /* version */)
   ar & data::CreateNVP(lo, "lo");
 }
 
-/**
- * Returns a string representation of an object.
- */
-std::string Range::ToString() const
-{
-  std::ostringstream convert;
-  convert << "[" << lo << ", " << hi << "]";
-  return convert.str();
-}
 } // namespace math
 } // namespace mlpack
 
diff --git a/src/mlpack/core/metrics/ip_metric.hpp b/src/mlpack/core/metrics/ip_metric.hpp
index a0d1cddf273..7cfc0fc1b92 100644
--- a/src/mlpack/core/metrics/ip_metric.hpp
+++ b/src/mlpack/core/metrics/ip_metric.hpp
@@ -57,9 +57,6 @@ class IPMetric
   template<typename Archive>
   void Serialize(Archive& ar, const unsigned int version);
 
-  //! Returns a string representation of this object.
-  std::string ToString() const;
-
  private:
   //! The kernel we are using.
   KernelType* kernel;
diff --git a/src/mlpack/core/metrics/ip_metric_impl.hpp b/src/mlpack/core/metrics/ip_metric_impl.hpp
index 244ff78f241..27a78199eab 100644
--- a/src/mlpack/core/metrics/ip_metric_impl.hpp
+++ b/src/mlpack/core/metrics/ip_metric_impl.hpp
@@ -68,17 +68,6 @@ void IPMetric<KernelType>::Serialize(Archive& ar,
   ar & data::CreateNVP(kernel, "kernel");
 }
 
-// Convert object to string.
-template<typename KernelType>
-std::string IPMetric<KernelType>::ToString() const
-{
-  std::ostringstream convert;
-  convert << "IPMetric [" << this << "]" << std::endl;
-  convert << "  Kernel: " << std::endl;
-  convert << util::Indent(kernel->ToString(), 2);
-  return convert.str();
-}
-
 // A specialization for the linear kernel, which actually just turns out to be
 // the Euclidean distance.
 template<>
diff --git a/src/mlpack/core/metrics/lmetric.hpp b/src/mlpack/core/metrics/lmetric.hpp
index e96e94d2ae9..fa13da23c73 100644
--- a/src/mlpack/core/metrics/lmetric.hpp
+++ b/src/mlpack/core/metrics/lmetric.hpp
@@ -77,9 +77,6 @@ class LMetric
   template<typename VecTypeA, typename VecTypeB>
   static double Evaluate(const VecTypeA& a, const VecTypeB& b);
 
-  //! Return a string representation of the object.
-  std::string ToString() const;
-
   //! Serialize the metric (nothing to do).
   template<typename Archive>
   void Serialize(Archive& /* ar */, const unsigned int /* version */) { }
diff --git a/src/mlpack/core/metrics/lmetric_impl.hpp b/src/mlpack/core/metrics/lmetric_impl.hpp
index 7625b2f0f6a..2df35c2b480 100644
--- a/src/mlpack/core/metrics/lmetric_impl.hpp
+++ b/src/mlpack/core/metrics/lmetric_impl.hpp
@@ -29,17 +29,6 @@ double LMetric<Power, TakeRoot>::Evaluate(const VecTypeA& a,
   return pow(sum, (1.0 / Power));
 }
 
-// String conversion.
-template<int Power, bool TakeRoot>
-std::string LMetric<Power, TakeRoot>::ToString() const
-{
-  std::ostringstream convert;
-  convert << "LMetric [" << this << "]" << std::endl;
-  convert << "  Power: " << Power << std::endl;
-  convert << "  TakeRoot: " << (TakeRoot ? "true" : "false") << std::endl;
-  return convert.str();
-}
-
 // L1-metric specializations; the root doesn't matter.
 template<>
 template<typename VecTypeA, typename VecTypeB>
diff --git a/src/mlpack/core/metrics/mahalanobis_distance.hpp b/src/mlpack/core/metrics/mahalanobis_distance.hpp
index 4350a950b7c..d7000ff26c6 100644
--- a/src/mlpack/core/metrics/mahalanobis_distance.hpp
+++ b/src/mlpack/core/metrics/mahalanobis_distance.hpp
@@ -101,8 +101,6 @@ class MahalanobisDistance
   template<typename Archive>
   void Serialize(Archive& ar, const unsigned int version);
 
-  //! Return string representation of object.
-  std::string ToString() const;
  private:
   //! The covariance matrix associated with this distance.
   arma::mat covariance;
diff --git a/src/mlpack/core/metrics/mahalanobis_distance_impl.hpp b/src/mlpack/core/metrics/mahalanobis_distance_impl.hpp
index 44a9a1a949a..a72c2526a72 100644
--- a/src/mlpack/core/metrics/mahalanobis_distance_impl.hpp
+++ b/src/mlpack/core/metrics/mahalanobis_distance_impl.hpp
@@ -51,30 +51,6 @@ void MahalanobisDistance<TakeRoot>::Serialize(Archive& ar,
   ar & data::CreateNVP(covariance, "covariance");
 }
 
-// Convert object into string.
-template<bool TakeRoot>
-std::string MahalanobisDistance<TakeRoot>::ToString() const
-{
-  std::ostringstream convert;
-  std::ostringstream convertb;
-  convert << "MahalanobisDistance [" << this << "]" << std::endl;
-  if (TakeRoot)
-    convert << "  TakeRoot: TRUE" << std::endl;
-  if (covariance.size() < 65)
-  {
-    convert << "  Covariance: " << std::endl;
-    convertb << covariance << std::endl;
-    convert << mlpack::util::Indent(convertb.str(),2);
-  }
-  else
-  {
-    convert << "  Covariance matrix: " << covariance.n_rows << "x" ;
-    convert << covariance.n_cols << std::endl << " Range: [" ;
-    convert << covariance.min() << "," << covariance.max() << "]" << std::endl;
-  }
-  return convert.str();
-}
-
 } // namespace metric
 } // namespace mlpack
 
diff --git a/src/mlpack/core/optimizers/aug_lagrangian/aug_lagrangian.hpp b/src/mlpack/core/optimizers/aug_lagrangian/aug_lagrangian.hpp
index 1224e22023a..8bc414ec9e4 100644
--- a/src/mlpack/core/optimizers/aug_lagrangian/aug_lagrangian.hpp
+++ b/src/mlpack/core/optimizers/aug_lagrangian/aug_lagrangian.hpp
@@ -118,9 +118,6 @@ class AugLagrangian
   //! Modify the penalty parameter.
   double& Sigma() { return augfunc.Sigma(); }
 
-  // convert the obkect into a string
-  std::string ToString() const;
-
  private:
   //! Function to be optimized.
   LagrangianFunction& function;
diff --git a/src/mlpack/core/optimizers/aug_lagrangian/aug_lagrangian_function.hpp b/src/mlpack/core/optimizers/aug_lagrangian/aug_lagrangian_function.hpp
index f088dceff4e..36ec3dae3ae 100644
--- a/src/mlpack/core/optimizers/aug_lagrangian/aug_lagrangian_function.hpp
+++ b/src/mlpack/core/optimizers/aug_lagrangian/aug_lagrangian_function.hpp
@@ -94,9 +94,6 @@ class AugLagrangianFunction
   //! Modify the Lagrangian function.
   LagrangianFunction& Function() { return function; }
 
-  // convert the obkect into a string
-  std::string ToString() const;
-
  private:
   //! Instantiation of the function to be optimized.
   LagrangianFunction& function;
diff --git a/src/mlpack/core/optimizers/aug_lagrangian/aug_lagrangian_function_impl.hpp b/src/mlpack/core/optimizers/aug_lagrangian/aug_lagrangian_function_impl.hpp
index 7db9d02a386..2a9b07275b2 100644
--- a/src/mlpack/core/optimizers/aug_lagrangian/aug_lagrangian_function_impl.hpp
+++ b/src/mlpack/core/optimizers/aug_lagrangian/aug_lagrangian_function_impl.hpp
@@ -95,18 +95,6 @@ const arma::mat& AugLagrangianFunction<LagrangianFunction>::GetInitialPoint()
   return function.GetInitialPoint();
 }
 
-// Convert the object to a string.
-template<typename LagrangianFunction>
-std::string AugLagrangianFunction<LagrangianFunction>::ToString() const
-{
-  std::ostringstream convert;
-  convert << "AugLagrangianFunction [" << this << "]" << std::endl;
-  convert << "  Lagrange multipliers:" << std::endl;
-  convert << lambda;
-  convert << "  Penalty parameter: " << sigma << std::endl;
-  return convert.str();
-}
-
 } // namespace optimization
 } // namespace mlpack
 
diff --git a/src/mlpack/core/optimizers/aug_lagrangian/aug_lagrangian_impl.hpp b/src/mlpack/core/optimizers/aug_lagrangian/aug_lagrangian_impl.hpp
index 59fb72e2b88..06bf2e9709b 100644
--- a/src/mlpack/core/optimizers/aug_lagrangian/aug_lagrangian_impl.hpp
+++ b/src/mlpack/core/optimizers/aug_lagrangian/aug_lagrangian_impl.hpp
@@ -49,19 +49,6 @@ bool AugLagrangian<LagrangianFunction>::Optimize(arma::mat& coordinates,
   return Optimize(coordinates, maxIterations);
 }
 
-// Convert the object to a string.
-template<typename LagrangianFunction>
-std::string AugLagrangian<LagrangianFunction>::ToString() const
-{
-  std::ostringstream convert;
-  convert << "AugLagrangian [" << this << "]" << std::endl;
-  convert << "  Function:" << std::endl;
-  convert << mlpack::util::Indent(function.ToString(), 2);
-  convert << "  L-BFGS optimizer:" << std::endl;
-  convert << mlpack::util::Indent(lbfgs.ToString(), 2);
-  return convert.str();
-}
-
 template<typename LagrangianFunction>
 bool AugLagrangian<LagrangianFunction>::Optimize(arma::mat& coordinates,
                                                  const size_t maxIterations)
diff --git a/src/mlpack/core/optimizers/aug_lagrangian/aug_lagrangian_test_functions.cpp b/src/mlpack/core/optimizers/aug_lagrangian/aug_lagrangian_test_functions.cpp
index e2d0dbb5eb6..53efd0fc653 100644
--- a/src/mlpack/core/optimizers/aug_lagrangian/aug_lagrangian_test_functions.cpp
+++ b/src/mlpack/core/optimizers/aug_lagrangian/aug_lagrangian_test_functions.cpp
@@ -366,11 +366,3 @@ const arma::mat& LovaszThetaSDP::GetInitialPoint()
 
   return initialPoint;
 }
-
-std::string AugLagrangianTestFunction::ToString() const
-{
-  // The actual output is unimportant -- this object is only for testing anyway.
-  std::ostringstream convert;
-  convert << "AugLagrangianTestFunction [" << this << "]" << std::endl;
-  return convert.str();
-}
diff --git a/src/mlpack/core/optimizers/aug_lagrangian/aug_lagrangian_test_functions.hpp b/src/mlpack/core/optimizers/aug_lagrangian/aug_lagrangian_test_functions.hpp
index 8410ec8a142..e27b46b6e87 100644
--- a/src/mlpack/core/optimizers/aug_lagrangian/aug_lagrangian_test_functions.hpp
+++ b/src/mlpack/core/optimizers/aug_lagrangian/aug_lagrangian_test_functions.hpp
@@ -38,9 +38,6 @@ class AugLagrangianTestFunction
 
   const arma::mat& GetInitialPoint() const { return initialPoint; }
 
-  // convert the obkect into a string
-  std::string ToString() const;
-
  private:
   arma::mat initialPoint;
 };
diff --git a/src/mlpack/core/optimizers/lbfgs/lbfgs.hpp b/src/mlpack/core/optimizers/lbfgs/lbfgs.hpp
index 2a91db9241e..b54392e1b9c 100644
--- a/src/mlpack/core/optimizers/lbfgs/lbfgs.hpp
+++ b/src/mlpack/core/optimizers/lbfgs/lbfgs.hpp
@@ -145,9 +145,6 @@ class L_BFGS
   //! Modify the maximum line search step size.
   double& MaxStep() { return maxStep; }
 
-  // convert the obkect into a string
-  std::string ToString() const;
-
  private:
   //! Internal reference to the function we are optimizing.
   FunctionType& function;
diff --git a/src/mlpack/core/optimizers/lbfgs/lbfgs_impl.hpp b/src/mlpack/core/optimizers/lbfgs/lbfgs_impl.hpp
index 9f36896e87f..1a8ca4999cf 100644
--- a/src/mlpack/core/optimizers/lbfgs/lbfgs_impl.hpp
+++ b/src/mlpack/core/optimizers/lbfgs/lbfgs_impl.hpp
@@ -451,26 +451,6 @@ double L_BFGS<FunctionType>::Optimize(arma::mat& iterate,
   return function.Evaluate(iterate);
 }
 
-// Convert the object to a string.
-template<typename FunctionType>
-std::string L_BFGS<FunctionType>::ToString() const
-{
-  std::ostringstream convert;
-  convert << "L_BFGS [" << this << "]" << std::endl;
-  convert << "  Function:" << std::endl;
-  convert << util::Indent(function.ToString(), 2);
-  convert << "  Memory size: " << numBasis << std::endl;
-  convert << "  Cube size: " << s.n_rows << "x" << s.n_cols << "x"
-      << s.n_slices << std::endl;
-  convert << "  Maximum iterations: " << maxIterations << std::endl;
-  convert << "  Armijo condition constant: " << armijoConstant << std::endl;
-  convert << "  Wolfe parameter: " << wolfe << std::endl;
-  convert << "  Minimum gradient norm: " << minGradientNorm << std::endl;
-  convert << "  Minimum step for line search: " << minStep << std::endl;
-  convert << "  Maximum step for line search: " << maxStep << std::endl;
-  return convert.str();
-}
-
 } // namespace optimization
 } // namespace mlpack
 
diff --git a/src/mlpack/core/optimizers/sa/sa.hpp b/src/mlpack/core/optimizers/sa/sa.hpp
index 1d3f876bffe..73f57b34ca9 100644
--- a/src/mlpack/core/optimizers/sa/sa.hpp
+++ b/src/mlpack/core/optimizers/sa/sa.hpp
@@ -148,8 +148,6 @@ class SA
   //! Modify move size of each parameter.
   arma::mat& MoveSize() { return moveSize; }
 
-  //! Return a string representation of this object.
-  std::string ToString() const;
  private:
   //! The function to be optimized.
   FunctionType& function;
diff --git a/src/mlpack/core/optimizers/sa/sa_impl.hpp b/src/mlpack/core/optimizers/sa/sa_impl.hpp
index 46271a5483c..dcb8a192c76 100644
--- a/src/mlpack/core/optimizers/sa/sa_impl.hpp
+++ b/src/mlpack/core/optimizers/sa/sa_impl.hpp
@@ -199,30 +199,6 @@ void SA<FunctionType, CoolingScheduleType>::MoveControl(const size_t nMoves,
   accept.zeros();
 }
 
-template<
-    typename FunctionType,
-    typename CoolingScheduleType
->
-std::string SA<FunctionType, CoolingScheduleType>::
-ToString() const
-{
-  std::ostringstream convert;
-  convert << "SA [" << this << "]" << std::endl;
-  convert << "  Function:" << std::endl;
-  convert << util::Indent(function.ToString(), 2);
-  convert << "  Cooling Schedule:" << std::endl;
-  convert << util::Indent(coolingSchedule.ToString(), 2);
-  convert << "  Temperature: " << temperature << std::endl;
-  convert << "  Initial moves: " << initMoves << std::endl;
-  convert << "  Sweeps per move control: " << moveCtrlSweep << std::endl;
-  convert << "  Tolerance: " << tolerance << std::endl;
-  convert << "  Maximum sweeps below tolerance: " << maxToleranceSweep
-      << std::endl;
-  convert << "  Move control gain: " << gain << std::endl;
-  convert << "  Maximum iterations: " << maxIterations << std::endl;
-  return convert.str();
-}
-
 } // namespace optimization
 } // namespace mlpack
 
diff --git a/src/mlpack/core/optimizers/sdp/lrsdp.hpp b/src/mlpack/core/optimizers/sdp/lrsdp.hpp
index b315877382a..53d5970174d 100644
--- a/src/mlpack/core/optimizers/sdp/lrsdp.hpp
+++ b/src/mlpack/core/optimizers/sdp/lrsdp.hpp
@@ -72,9 +72,6 @@ class LRSDP
   //! Modify the augmented Lagrangian object.
   AugLagrangian<LRSDPFunction<SDPType>>& AugLag() { return augLag; }
 
-  //! Return a string representation of the object.
-  std::string ToString() const;
-
  private:
   //! Function to optimize, which the AugLagrangian object holds.
   LRSDPFunction<SDPType> function;
diff --git a/src/mlpack/core/optimizers/sdp/lrsdp_function.hpp b/src/mlpack/core/optimizers/sdp/lrsdp_function.hpp
index 56e1fc1e35b..12ddce2803b 100644
--- a/src/mlpack/core/optimizers/sdp/lrsdp_function.hpp
+++ b/src/mlpack/core/optimizers/sdp/lrsdp_function.hpp
@@ -84,9 +84,6 @@ class LRSDPFunction
   //! Modify the SDP object representing the problem.
   SDPType& SDP() { return sdp; }
 
-  //! Return string representation of object.
-  std::string ToString() const;
-
  private:
 
   //! SDP object representing the problem
diff --git a/src/mlpack/core/optimizers/sdp/lrsdp_function_impl.hpp b/src/mlpack/core/optimizers/sdp/lrsdp_function_impl.hpp
index 2f13b0890a8..0c751061dbe 100644
--- a/src/mlpack/core/optimizers/sdp/lrsdp_function_impl.hpp
+++ b/src/mlpack/core/optimizers/sdp/lrsdp_function_impl.hpp
@@ -74,20 +74,6 @@ void LRSDPFunction<SDPType>::GradientConstraint(const size_t /* index */,
       << "optimizers!" << std::endl;
 }
 
-// Return a string representation of the object.
-template <typename SDPType>
-std::string LRSDPFunction<SDPType>::ToString() const
-{
-  std::ostringstream convert;
-  convert << "LRSDPFunction [" << this << "]" << std::endl;
-  convert << "  Number of constraints: " << SDP().NumConstraints() << std::endl;
-  convert << "  Problem size: n=" << initialPoint.n_rows << ", r="
-      << initialPoint.n_cols << std::endl;
-  convert << "  Sparse Constraint b_i values: " << SDP().SparseB().t();
-  convert << "  Dense Constraint b_i values: " << SDP().DenseB().t();
-  return convert.str();
-}
-
 //! Utility function for calculating part of the objective when AugLagrangian is
 //! used with an LRSDPFunction.
 template <typename MatrixType>
diff --git a/src/mlpack/core/optimizers/sdp/lrsdp_impl.hpp b/src/mlpack/core/optimizers/sdp/lrsdp_impl.hpp
index 6b6389f5d56..a7affdd447b 100644
--- a/src/mlpack/core/optimizers/sdp/lrsdp_impl.hpp
+++ b/src/mlpack/core/optimizers/sdp/lrsdp_impl.hpp
@@ -30,16 +30,6 @@ double LRSDP<SDPType>::Optimize(arma::mat& coordinates)
   return augLag.Function().Evaluate(coordinates);
 }
 
-// Convert the object to a string.
-template <typename SDPType>
-std::string LRSDP<SDPType>::ToString() const
-{
-  std::ostringstream convert;
-  convert << "LRSDP [" << this << "]" << std::endl;
-  convert << "  Optimizer: " << util::Indent(augLag.ToString(), 1) << std::endl;
-  return convert.str();
-}
-
 } // namespace optimization
 } // namespace mlpack
 
diff --git a/src/mlpack/core/optimizers/sgd/sgd.hpp b/src/mlpack/core/optimizers/sgd/sgd.hpp
index 7a06416c039..767cc8280a2 100644
--- a/src/mlpack/core/optimizers/sgd/sgd.hpp
+++ b/src/mlpack/core/optimizers/sgd/sgd.hpp
@@ -123,9 +123,6 @@ class SGD
   //! Modify whether or not the individual functions are shuffled.
   bool& Shuffle() { return shuffle; }
 
-  //! Return a string representation of the object.
-  std::string ToString() const;
-
  private:
   //! The instantiated function.
   DecomposableFunctionType& function;
diff --git a/src/mlpack/core/optimizers/sgd/sgd_impl.hpp b/src/mlpack/core/optimizers/sgd/sgd_impl.hpp
index 01fac6faf4b..dacf5e5b47f 100644
--- a/src/mlpack/core/optimizers/sgd/sgd_impl.hpp
+++ b/src/mlpack/core/optimizers/sgd/sgd_impl.hpp
@@ -109,21 +109,6 @@ double SGD<DecomposableFunctionType>::Optimize(arma::mat& iterate)
   return overallObjective;
 }
 
-// Convert the object to a string.
-template<typename DecomposableFunctionType>
-std::string SGD<DecomposableFunctionType>::ToString() const
-{
-  std::ostringstream convert;
-  convert << "SGD [" << this << "]" << std::endl;
-  convert << "  Function:" << std::endl;
-  convert << util::Indent(function.ToString(), 2);
-  convert << "  Step size: " << stepSize << std::endl;
-  convert << "  Maximum iterations: " << maxIterations << std::endl;
-  convert << "  Tolerance: " << tolerance << std::endl;
-  convert << "  Shuffle points: " << (shuffle ? "true" : "false") << std::endl;
-  return convert.str();
-}
-
 } // namespace optimization
 } // namespace mlpack
 
diff --git a/src/mlpack/core/tree/ballbound.hpp b/src/mlpack/core/tree/ballbound.hpp
index b3de6138ded..2201fc4d166 100644
--- a/src/mlpack/core/tree/ballbound.hpp
+++ b/src/mlpack/core/tree/ballbound.hpp
@@ -183,11 +183,6 @@ class BallBound
   //! Serialize the bound.
   template<typename Archive>
   void Serialize(Archive& ar, const unsigned int version);
-
-  /**
-   * Returns a string representation of this object.
-   */
-  std::string ToString() const;
 };
 
 //! A specialization of BoundTraits for this bound type.
diff --git a/src/mlpack/core/tree/ballbound_impl.hpp b/src/mlpack/core/tree/ballbound_impl.hpp
index 4cfe1d37fc6..95fbf22f12e 100644
--- a/src/mlpack/core/tree/ballbound_impl.hpp
+++ b/src/mlpack/core/tree/ballbound_impl.hpp
@@ -287,21 +287,6 @@ void BallBound<VecType, TMetricType>::Serialize(
   ar & data::CreateNVP(ownsMetric, "ownsMetric");
 }
 
-/**
- * Returns a string representation of this object.
- */
-template<typename VecType, typename TMetricType>
-std::string BallBound<VecType, TMetricType>::ToString() const
-{
-  std::ostringstream convert;
-  convert << "BallBound [" << this << "]" << std::endl;
-  convert << "  Radius:  " << radius << std::endl;
-  convert << "  Center:" << std::endl << center;
-  convert << "  ownsMetric: " << ownsMetric << std::endl;
-  convert << "  Metric:" << std::endl << metric->ToString();
-  return convert.str();
-}
-
 } // namespace bound
 } // namespace mlpack
 
diff --git a/src/mlpack/core/tree/binary_space_tree/binary_space_tree.hpp b/src/mlpack/core/tree/binary_space_tree/binary_space_tree.hpp
index 6d6f212cffe..21e789d7d35 100644
--- a/src/mlpack/core/tree/binary_space_tree/binary_space_tree.hpp
+++ b/src/mlpack/core/tree/binary_space_tree/binary_space_tree.hpp
@@ -492,11 +492,6 @@ class BinarySpaceTree
    */
   template<typename Archive>
   void Serialize(Archive& ar, const unsigned int version);
-
-  /**
-   * Returns a string representation of this object.
-   */
-  std::string ToString() const;
 };
 
 } // namespace tree
diff --git a/src/mlpack/core/tree/binary_space_tree/binary_space_tree_impl.hpp b/src/mlpack/core/tree/binary_space_tree/binary_space_tree_impl.hpp
index 34bca4e012e..492373e8ead 100644
--- a/src/mlpack/core/tree/binary_space_tree/binary_space_tree_impl.hpp
+++ b/src/mlpack/core/tree/binary_space_tree/binary_space_tree_impl.hpp
@@ -838,42 +838,6 @@ void BinarySpaceTree<MetricType, StatisticType, MatType, BoundType, SplitType>::
   }
 }
 
-/**
- * Returns a string representation of this object.
- */
-template<typename MetricType,
-         typename StatisticType,
-         typename MatType,
-         template<typename BoundMetricType> class BoundType,
-         template<typename SplitBoundType, typename SplitMatType>
-             class SplitType>
-std::string BinarySpaceTree<MetricType, StatisticType, MatType, BoundType,
-                            SplitType>::
-    ToString() const
-{
-  std::ostringstream convert;
-  convert << "BinarySpaceTree [" << this << "]" << std::endl;
-  convert << "  First point: " << begin << std::endl;
-  convert << "  Number of descendants: " << count << std::endl;
-  convert << "  Bound: " << std::endl;
-  convert << mlpack::util::Indent(bound.ToString(), 2);
-  convert << "  Statistic: " << std::endl;
-  convert << mlpack::util::Indent(stat.ToString(), 2);
-
-  // How many levels should we print?  This will print the top two tree levels.
-  if (left != NULL && parent == NULL)
-  {
-    convert << " Left child:" << std::endl;
-    convert << mlpack::util::Indent(left->ToString(), 2);
-  }
-  if (right != NULL && parent == NULL)
-  {
-    convert << " Right child:" << std::endl;
-    convert << mlpack::util::Indent(right->ToString(), 2);
-  }
-  return convert.str();
-}
-
 } // namespace tree
 } // namespace mlpack
 
diff --git a/src/mlpack/core/tree/cover_tree/cover_tree.hpp b/src/mlpack/core/tree/cover_tree/cover_tree.hpp
index bbec68ce537..f2ded5b2936 100644
--- a/src/mlpack/core/tree/cover_tree/cover_tree.hpp
+++ b/src/mlpack/core/tree/cover_tree/cover_tree.hpp
@@ -500,11 +500,6 @@ class CoverTree
   friend class boost::serialization::access;
 
  public:
-  /**
-   * Returns a string representation of this object.
-   */
-  std::string ToString() const;
-
   /**
    * Serialize the tree.
    */
diff --git a/src/mlpack/core/tree/cover_tree/cover_tree_impl.hpp b/src/mlpack/core/tree/cover_tree/cover_tree_impl.hpp
index 65a2d63c675..991f0719efc 100644
--- a/src/mlpack/core/tree/cover_tree/cover_tree_impl.hpp
+++ b/src/mlpack/core/tree/cover_tree/cover_tree_impl.hpp
@@ -1337,41 +1337,6 @@ CoverTree<MetricType, StatisticType, MatType, RootPointPolicy>::CoverTree() :
   // Nothing to do.
 }
 
-/**
- * Returns a string representation of this object.
- */
-template<
-    typename MetricType,
-    typename StatisticType,
-    typename MatType,
-    typename RootPointPolicy
->
-std::string CoverTree<MetricType, StatisticType, MatType, RootPointPolicy>::
-    ToString() const
-{
-  std::ostringstream convert;
-  convert << "CoverTree [" << this << "]" << std::endl;
-  convert << "  dataset: " << dataset << std::endl;
-  convert << "  point: " << point << std::endl;
-  convert << "  scale: " << scale << std::endl;
-  convert << "  base: " << base << std::endl;
-  convert << "  parent distance : " << parentDistance << std::endl;
-  convert << "  furthest descendant distance: " << furthestDescendantDistance;
-  convert << std::endl;
-  convert << "  children:";
-
-  // How many levels should we print?  This will print the top two tree levels.
-  if (IsLeaf() == false && parent == NULL)
-    for (size_t i = 0; i < children.size(); i++)
-      convert << std::endl << mlpack::util::Indent(children.at(i)->ToString());
-  convert << std::endl;
-  convert << "  descendants: " << NumDescendants() << std::endl;
-
-  convert << "StatisticType: " << stat << std::endl;
-
-  return convert.str();
-}
-
 /**
  * Serialize to/from a boost::serialization archive.
  */
diff --git a/src/mlpack/core/tree/hrectbound.hpp b/src/mlpack/core/tree/hrectbound.hpp
index 330b0e4606b..2f6c3eeacc5 100644
--- a/src/mlpack/core/tree/hrectbound.hpp
+++ b/src/mlpack/core/tree/hrectbound.hpp
@@ -192,11 +192,6 @@ class HRectBound
   template<typename Archive>
   void Serialize(Archive& ar, const unsigned int version);
 
-  /**
-   * Returns a string representation of this object.
-   */
-  std::string ToString() const;
-
  private:
   //! The dimensionality of the bound.
   size_t dim;
diff --git a/src/mlpack/core/tree/hrectbound_impl.hpp b/src/mlpack/core/tree/hrectbound_impl.hpp
index 36e611977fd..5b6420fc11a 100644
--- a/src/mlpack/core/tree/hrectbound_impl.hpp
+++ b/src/mlpack/core/tree/hrectbound_impl.hpp
@@ -458,26 +458,6 @@ void HRectBound<MetricType>::Serialize(Archive& ar,
   ar & data::CreateNVP(minWidth, "minWidth");
 }
 
-/**
- * Returns a string representation of this object.
- */
-template<typename MetricType>
-std::string HRectBound<MetricType>::ToString() const
-{
-  std::ostringstream convert;
-  convert << "HRectBound [" << this << "]" << std::endl;
-  convert << "  Power: " << MetricType::Power << std::endl;
-  convert << "  TakeRoot: " << (MetricType::TakeRoot ? "true" : "false")
-      << std::endl;
-  convert << "  Dimensionality: " << dim << std::endl;
-  convert << "  Bounds: " << std::endl;
-  for (size_t i = 0; i < dim; ++i)
-    convert << util::Indent(bounds[i].ToString()) << std::endl;
-  convert << "  Minimum width: " << minWidth << std::endl;
-
-  return convert.str();
-}
-
 } // namespace bound
 } // namespace mlpack
 
diff --git a/src/mlpack/core/tree/rectangle_tree/rectangle_tree.hpp b/src/mlpack/core/tree/rectangle_tree/rectangle_tree.hpp
index 77021cdffb8..f718845a6b1 100644
--- a/src/mlpack/core/tree/rectangle_tree/rectangle_tree.hpp
+++ b/src/mlpack/core/tree/rectangle_tree/rectangle_tree.hpp
@@ -598,11 +598,6 @@ class RectangleTree
    */
   RectangleTree* ExactClone();
 
-  /**
-   * Returns a string representation of this object.
-   */
-  std::string ToString() const;
-
   /**
    * Serialize the tree.
    */
diff --git a/src/mlpack/core/tree/rectangle_tree/rectangle_tree_impl.hpp b/src/mlpack/core/tree/rectangle_tree/rectangle_tree_impl.hpp
index 8e4fa4d3c38..0d0fbb9472e 100644
--- a/src/mlpack/core/tree/rectangle_tree/rectangle_tree_impl.hpp
+++ b/src/mlpack/core/tree/rectangle_tree/rectangle_tree_impl.hpp
@@ -934,41 +934,6 @@ bool RectangleTree<MetricType, StatisticType, MatType, SplitType, DescentType>::
   return sum != sum2;
 }
 
-/**
- * Returns a string representation of this object.
- */
-template<typename MetricType,
-         typename StatisticType,
-         typename MatType,
-         typename SplitType,
-         typename DescentType>
-std::string RectangleTree<MetricType, StatisticType, MatType, SplitType,
-                          DescentType>::ToString() const
-{
-  std::ostringstream convert;
-  convert << "RectangleTree [" << this << "]" << std::endl;
-  convert << "  First point: " << begin << std::endl;
-  convert << "  Number of descendants: " << numChildren << std::endl;
-  convert << "  Number of points: " << count << std::endl;
-  convert << "  Bound: " << std::endl;
-  convert << mlpack::util::Indent(bound.ToString(), 2);
-  convert << "  Statistic: " << std::endl;
-  //convert << mlpack::util::Indent(stat.ToString(), 2);
-  convert << "  Max leaf size: " << maxLeafSize << std::endl;
-  convert << "  Min leaf size: " << minLeafSize << std::endl;
-  convert << "  Max num of children: " << maxNumChildren << std::endl;
-  convert << "  Min num of children: " << minNumChildren << std::endl;
-  convert << "  Parent address: " << parent << std::endl;
-
-  // How many levels should we print?  This will print the top 3 levels
-  // (counting the root).
-  if (parent == NULL || parent->Parent() == NULL)
-    for (int i = 0; i < numChildren; i++)
-      convert << children[i]->ToString();
-
-  return convert.str();
-}
-
 /**
  * Serialize the tree.
  */
diff --git a/src/mlpack/core/tree/statistic.hpp b/src/mlpack/core/tree/statistic.hpp
index a7f5104520f..b1309217fe9 100644
--- a/src/mlpack/core/tree/statistic.hpp
+++ b/src/mlpack/core/tree/statistic.hpp
@@ -38,16 +38,6 @@ class EmptyStatistic
     template<typename Archive>
     void Serialize(Archive& /* ar */, const unsigned int /* version */)
     { }
-
-    /**
-     * Returns a string representation of this object.
-     */
-    std::string ToString() const
-    {
-      std::stringstream convert;
-      convert << "EmptyStatistic [" << this << "]" << std::endl;
-      return convert.str();
-    }
 };
 
 } // namespace tree
diff --git a/src/mlpack/core/util/CMakeLists.txt b/src/mlpack/core/util/CMakeLists.txt
index 67b549cd544..2db60eb238a 100644
--- a/src/mlpack/core/util/CMakeLists.txt
+++ b/src/mlpack/core/util/CMakeLists.txt
@@ -14,7 +14,6 @@ set(SOURCES
   option.hpp
   option.cpp
   option_impl.hpp
-  ostream_extra.hpp
   prefixedoutstream.hpp
   prefixedoutstream.cpp
   prefixedoutstream_impl.hpp
diff --git a/src/mlpack/core/util/ostream_extra.hpp b/src/mlpack/core/util/ostream_extra.hpp
deleted file mode 100644
index c96cb70f1b0..00000000000
--- a/src/mlpack/core/util/ostream_extra.hpp
+++ /dev/null
@@ -1,37 +0,0 @@
-/**
- * @file ostream_extra.hpp
- * @author Ryan Curtin
- *
- * Allow ostream::operator<<(T&) for mlpack objects that have ToString
- * implemented.
- */
-#ifndef __MLPACK_CORE_UTIL_OSTREAM_EXTRA_HPP
-#define __MLPACK_CORE_UTIL_OSTREAM_EXTRA_HPP
-
-#include "sfinae_utility.hpp"
-
-// Hide in a namespace so we don't pollute the global namespace.
-
-namespace mlpack {
-namespace util {
-namespace misc {
-
-HAS_MEM_FUNC(ToString, HasToString);
-
-} // namespace misc
-} // namespace util
-} // namespace mlpack
-
-template<
-    typename T,
-    typename junk1 = typename boost::enable_if<boost::is_class<T> >::type,
-    typename junk2 = typename boost::enable_if<
-        mlpack::util::misc::HasToString<T, std::string(T::*)() const> >::type
->
-std::ostream& operator<<(std::ostream& stream, const T& t)
-{
-  stream << t.ToString();
-  return stream;
-}
-
-#endif
diff --git a/src/mlpack/core/util/prefixedoutstream.hpp b/src/mlpack/core/util/prefixedoutstream.hpp
index 4f75759e3cc..7af45407812 100644
--- a/src/mlpack/core/util/prefixedoutstream.hpp
+++ b/src/mlpack/core/util/prefixedoutstream.hpp
@@ -120,36 +120,6 @@ class PrefixedOutStream
   bool ignoreInput;
 
  private:
-  HAS_MEM_FUNC(ToString, HasToString)
-
-  //! This handles forwarding all primitive types transparently.
-  template<typename T>
-  void CallBaseLogic(const T& s,
-      typename boost::disable_if<
-          boost::is_class<T>
-      >::type* = 0);
-
-  //! Forward all objects that do not implement a ToString() method.
-  template<typename T>
-  void CallBaseLogic(const T& s,
-      typename boost::enable_if<
-          boost::is_class<T>
-      >::type* = 0,
-      typename boost::disable_if<
-          HasToString<T, std::string(T::*)() const>
-      >::type* = 0);
-
-  //! Call ToString() on all objects that implement ToString() before
-  //! forwarding.
-  template<typename T>
-  void CallBaseLogic(const T& s,
-      typename boost::enable_if<
-          boost::is_class<T>
-      >::type* = 0,
-      typename boost::enable_if<
-          HasToString<T, std::string(T::*)() const>
-      >::type* = 0);
-
   /**
    * Conducts the base logic required in all the operator << overloads.  Mostly
    * just a good idea to reduce copy-pasta.
diff --git a/src/mlpack/core/util/prefixedoutstream_impl.hpp b/src/mlpack/core/util/prefixedoutstream_impl.hpp
index dd7bc81ce65..d86763fed88 100644
--- a/src/mlpack/core/util/prefixedoutstream_impl.hpp
+++ b/src/mlpack/core/util/prefixedoutstream_impl.hpp
@@ -17,46 +17,9 @@ namespace util {
 
 template<typename T>
 PrefixedOutStream& PrefixedOutStream::operator<<(const T& s)
-{
-  CallBaseLogic<T>(s);
-  return *this;
-}
-
-//! This handles forwarding all primitive types transparently.
-template<typename T>
-void PrefixedOutStream::CallBaseLogic(const T& s,
-    typename boost::disable_if<
-        boost::is_class<T>
-    >::type*)
 {
   BaseLogic<T>(s);
-}
-
-// Forward all objects that do not implement a ToString() method transparently.
-template<typename T>
-void PrefixedOutStream::CallBaseLogic(const T& s,
-    typename boost::enable_if<
-        boost::is_class<T>
-    >::type*,
-    typename boost::disable_if<
-        HasToString<T, std::string(T::*)() const>
-    >::type*)
-{
-  BaseLogic<T>(s);
-}
-
-// Call ToString() on all objects that implement ToString() before forwarding.
-template<typename T>
-void PrefixedOutStream::CallBaseLogic(const T& s,
-    typename boost::enable_if<
-        boost::is_class<T>
-    >::type*,
-    typename boost::enable_if<
-        HasToString<T, std::string(T::*)() const>
-    >::type*)
-{
-  std::string result = s.ToString();
-  BaseLogic<std::string>(result);
+  return *this;
 }
 
 template<typename T>
diff --git a/src/mlpack/methods/cf/cf.hpp b/src/mlpack/methods/cf/cf.hpp
index f451003413d..e2165e9bc71 100644
--- a/src/mlpack/methods/cf/cf.hpp
+++ b/src/mlpack/methods/cf/cf.hpp
@@ -215,11 +215,6 @@ class CF
   void Predict(const arma::Mat<size_t>& combinations,
                arma::vec& predictions) const;
 
-  /**
-   * Returns a string representation of this object.
-   */
-  std::string ToString() const;
-
  private:
   //! Number of users for similarity.
   size_t numUsersForSimilarity;
diff --git a/src/mlpack/methods/cf/cf_impl.hpp b/src/mlpack/methods/cf/cf_impl.hpp
index 8ac19e21b62..75a43b903de 100644
--- a/src/mlpack/methods/cf/cf_impl.hpp
+++ b/src/mlpack/methods/cf/cf_impl.hpp
@@ -388,19 +388,6 @@ void CF<FactorizerType>::InsertNeighbor(const size_t queryIndex,
   recommendations(pos, queryIndex) = neighbor;
 }
 
-// Return string of object.
-template<typename FactorizerType>
-std::string CF<FactorizerType>::ToString() const
-{
-  std::ostringstream convert;
-  convert << "Collaborative Filtering [" << this << "]" << std::endl;
-  //convert << "  Number of Recommendations: " << numRecs << std::endl;
-  //convert << "  Number of Users for Similarity: " << numUsersForSimilarity;
-  //convert << std::endl;
-  //convert << "  Data: " << data.n_rows << "x" << data.n_cols << std::endl;
-  return convert.str();
-}
-
 } // namespace mlpack
 } // namespace cf
 
diff --git a/src/mlpack/methods/det/dtree.cpp b/src/mlpack/methods/det/dtree.cpp
index 39ae88bca6a..ef27704b7a5 100644
--- a/src/mlpack/methods/det/dtree.cpp
+++ b/src/mlpack/methods/det/dtree.cpp
@@ -691,19 +691,3 @@ void DTree::ComputeVariableImportance(arma::vec& importances) const
     nodes.push(curNode.Right());
   }
 }
-
-// Return string of object.
-std::string DTree::ToString() const
-{
-  std::ostringstream convert;
-  convert << "Density Estimation Tree [" << this << "]" << std::endl;
-  convert << "  Start Node Index: " << start <<std::endl;
-  convert << "  End Node Index: " << end <<std::endl;
-  convert << "  Node Information:" << std::endl;
-  convert << "    Splitting Dimension: " << splitDim << std::endl;
-  convert << "    Splitting Value: " << splitValue << std::endl;
-  convert << "    Is Root: " << root << std::endl;
-  convert << "    # of points in Node to Total # of points" << ratio ;
-  convert << std::endl;
-  return convert.str();
-}
diff --git a/src/mlpack/methods/det/dtree.hpp b/src/mlpack/methods/det/dtree.hpp
index 429d9711c6f..4ca6f6f45e0 100644
--- a/src/mlpack/methods/det/dtree.hpp
+++ b/src/mlpack/methods/det/dtree.hpp
@@ -278,11 +278,6 @@ class DTree
   //! Modify the minimum values.
   arma::vec& MinVals() { return minVals; }
 
-  /**
-   * Returns a string representation of this object.
-   */
-  std::string ToString() const;
-
   /**
    * Serialize the density estimation tree.
    */
diff --git a/src/mlpack/methods/emst/dtb.hpp b/src/mlpack/methods/emst/dtb.hpp
index 0bd4802589c..1e16f0a02af 100644
--- a/src/mlpack/methods/emst/dtb.hpp
+++ b/src/mlpack/methods/emst/dtb.hpp
@@ -171,11 +171,6 @@ class DualTreeBoruvka
    */
   void ComputeMST(arma::mat& results);
 
-  /**
-   * Returns a string representation of this object.
-   */
-  std::string ToString() const;
-
  private:
   /**
    * Adds a single edge to the edge list
diff --git a/src/mlpack/methods/emst/dtb_impl.hpp b/src/mlpack/methods/emst/dtb_impl.hpp
index 225d5dac6be..bea3fae278a 100644
--- a/src/mlpack/methods/emst/dtb_impl.hpp
+++ b/src/mlpack/methods/emst/dtb_impl.hpp
@@ -323,26 +323,6 @@ void DualTreeBoruvka<MetricType, MatType, TreeType>::Cleanup()
     CleanupHelper(tree);
 }
 
-// convert the object to a string
-template<
-    typename MetricType,
-    typename MatType,
-    template<typename TreeMetricType,
-             typename TreeStatType,
-             typename TreeMatType> class TreeType>
-std::string DualTreeBoruvka<MetricType, MatType, TreeType>::ToString() const
-{
-  std::ostringstream convert;
-  convert << "DualTreeBoruvka [" << this << "]" << std::endl;
-  convert << "  Data: " << data.n_rows << "x" << data.n_cols <<std::endl;
-  convert << "  Total Distance: " << totalDist <<std::endl;
-  convert << "  Naive: " << naive << std::endl;
-  convert << "  Metric: " << std::endl;
-  convert << util::Indent(metric.ToString(), 2);
-  convert << std::endl;
-  return convert.str();
-}
-
 } // namespace emst
 } // namespace mlpack
 
diff --git a/src/mlpack/methods/fastmks/fastmks.hpp b/src/mlpack/methods/fastmks/fastmks.hpp
index f779e2be4dc..442be27d79a 100644
--- a/src/mlpack/methods/fastmks/fastmks.hpp
+++ b/src/mlpack/methods/fastmks/fastmks.hpp
@@ -186,11 +186,6 @@ class FastMKS
   //! Modify whether or not single-tree search is used.
   bool& SingleMode() { return singleMode; }
 
-  /**
-   * Returns a string representation of this object.
-   */
-  std::string ToString() const;
-
  private:
   //! The reference dataset.
   const MatType& referenceSet;
diff --git a/src/mlpack/methods/fastmks/fastmks_impl.hpp b/src/mlpack/methods/fastmks/fastmks_impl.hpp
index b3b6fadb666..4cc096b5c50 100644
--- a/src/mlpack/methods/fastmks/fastmks_impl.hpp
+++ b/src/mlpack/methods/fastmks/fastmks_impl.hpp
@@ -332,24 +332,6 @@ void FastMKS<KernelType, MatType, TreeType>::InsertNeighbor(
   indices(pos, queryIndex) = neighbor;
 }
 
-// Return string of object.
-template<typename KernelType,
-         typename MatType,
-         template<typename TreeMetricType,
-                  typename TreeStatType,
-                  typename TreeMatType> class TreeType>
-std::string FastMKS<KernelType, MatType, TreeType>::ToString() const
-{
-  std::ostringstream convert;
-  convert << "FastMKS [" << this << "]" << std::endl;
-  convert << "  Naive: " << naive << std::endl;
-  convert << "  Single: " << singleMode << std::endl;
-  convert << "  Metric: " << std::endl;
-  convert << mlpack::util::Indent(metric.ToString(),2);
-  convert << std::endl;
-  return convert.str();
-}
-
 } // namespace fastmks
 } // namespace mlpack
 
diff --git a/src/mlpack/methods/gmm/gmm.hpp b/src/mlpack/methods/gmm/gmm.hpp
index 6317706099a..83c8e04ad6b 100644
--- a/src/mlpack/methods/gmm/gmm.hpp
+++ b/src/mlpack/methods/gmm/gmm.hpp
@@ -326,11 +326,6 @@ class GMM
   void Classify(const arma::mat& observations,
                 arma::Col<size_t>& labels) const;
 
-  /**
-   * Returns a string representation of this object.
-   */
-  std::string ToString() const;
-
   /**
    * Serialize the GMM.
    */
diff --git a/src/mlpack/methods/gmm/gmm_impl.hpp b/src/mlpack/methods/gmm/gmm_impl.hpp
index 8e870e42836..02298f9fdb5 100644
--- a/src/mlpack/methods/gmm/gmm_impl.hpp
+++ b/src/mlpack/methods/gmm/gmm_impl.hpp
@@ -394,35 +394,6 @@ double GMM<FittingType>::LogLikelihood(
   return loglikelihood;
 }
 
-/**
-* Returns a string representation of this object.
-*/
-template<typename FittingType>
-std::string GMM<FittingType>::ToString() const
-{
-  std::ostringstream convert;
-  std::ostringstream data;
-  convert << "GMM [" << this << "]" << std::endl;
-  convert << "  Gaussians: " << gaussians << std::endl;
-  convert << "  Dimensionality: "<<dimensionality;
-  convert << std::endl;
-  // Secondary ostringstream so things can be indented properly.
-  for (size_t ind=0; ind < gaussians; ind++)
-  {
-    data << "Means of Gaussian " << ind << ": " << std::endl
-        << dists[ind].Mean();
-    data << std::endl;
-    data << "Covariances of Gaussian " << ind << ": " << std::endl ;
-    data << dists[ind].Covariance() << std::endl;
-    data << "Weight of Gaussian " << ind << ": " << std::endl ;
-    data << weights[ind] << std::endl;
-  }
-
-  convert << util::Indent(data.str());
-
-  return convert.str();
-}
-
 /**
  * Serialize the object.
  */
diff --git a/src/mlpack/methods/hmm/hmm.hpp b/src/mlpack/methods/hmm/hmm.hpp
index 47accb736a9..c0bd81a59db 100644
--- a/src/mlpack/methods/hmm/hmm.hpp
+++ b/src/mlpack/methods/hmm/hmm.hpp
@@ -316,11 +316,6 @@ class HMM
   //! Modify the tolerance of the Baum-Welch algorithm.
   double& Tolerance() { return tolerance; }
 
-  /**
-   * Returns a string representation of this object.
-   */
-  std::string ToString() const;
-
   /**
    * Serialize the object.
    */
diff --git a/src/mlpack/methods/hmm/hmm_impl.hpp b/src/mlpack/methods/hmm/hmm_impl.hpp
index 8ad2270478d..5cf1fe0a624 100644
--- a/src/mlpack/methods/hmm/hmm_impl.hpp
+++ b/src/mlpack/methods/hmm/hmm_impl.hpp
@@ -562,18 +562,6 @@ void HMM<Distribution>::Backward(const arma::mat& dataSeq,
   }
 }
 
-template<typename Distribution>
-std::string HMM<Distribution>::ToString() const
-{
-  std::ostringstream convert;
-  convert << "HMM [" << this << "]" << std::endl;
-  convert << "  Dimensionality: " << dimensionality <<std::endl;
-  convert << "  Tolerance: " << tolerance <<std::endl;
-  convert << "  Transition matrix: " << transition.n_rows << "x" ;
-  convert << transition.n_cols << std::endl;
-  return convert.str();
-}
-
 //! Serialize the HMM.
 template<typename Distribution>
 template<typename Archive>
diff --git a/src/mlpack/methods/kernel_pca/kernel_pca.hpp b/src/mlpack/methods/kernel_pca/kernel_pca.hpp
index 68162d69c02..7617f36b8f7 100644
--- a/src/mlpack/methods/kernel_pca/kernel_pca.hpp
+++ b/src/mlpack/methods/kernel_pca/kernel_pca.hpp
@@ -111,9 +111,6 @@ class KernelPCA
   //! Return whether or not the transformed data is centered.
   bool& CenterTransformedData() { return centerTransformedData; }
 
-  // Returns a string representation of this object.
-  std::string ToString() const;
-
  private:
   //! The instantiated kernel.
   KernelType kernel;
diff --git a/src/mlpack/methods/kernel_pca/kernel_pca_impl.hpp b/src/mlpack/methods/kernel_pca/kernel_pca_impl.hpp
index e9f800acf3b..2f2bfb42191 100644
--- a/src/mlpack/methods/kernel_pca/kernel_pca_impl.hpp
+++ b/src/mlpack/methods/kernel_pca/kernel_pca_impl.hpp
@@ -76,19 +76,6 @@ void KernelPCA<KernelType, KernelRule>::Apply(arma::mat& data,
     data.shed_rows(newDimension, data.n_rows - 1);
 }
 
-//! Returns a string representation of the object.
-template <typename KernelType, typename KernelRule>
-std::string KernelPCA<KernelType, KernelRule>::ToString() const
-{
-  std::ostringstream convert;
-  convert << "KernelPCA [" << this << "]" << std::endl;
-  convert << "  Center Transformed: " << centerTransformedData <<std::endl;
-  convert << "  Kernel Type: " << std::endl;
-  convert <<  mlpack::util::Indent(kernel.ToString(),2);
-  convert << std::endl;
-  return convert.str();
-}
-
 } // namespace mlpack
 } // namespace kpca
 
diff --git a/src/mlpack/methods/kmeans/dual_tree_kmeans_statistic.hpp b/src/mlpack/methods/kmeans/dual_tree_kmeans_statistic.hpp
index 4ef586a2519..8269a2c0af6 100644
--- a/src/mlpack/methods/kmeans/dual_tree_kmeans_statistic.hpp
+++ b/src/mlpack/methods/kmeans/dual_tree_kmeans_statistic.hpp
@@ -99,18 +99,6 @@ class DualTreeKMeansStatistic : public
 
   size_t NumTrueChildren() const { return trueChildren.size(); }
 
-  std::string ToString() const
-  {
-    std::ostringstream o;
-    o << "DualTreeKMeansStatistic [" << this << "]:\n";
-    o << "  Upper bound: " << upperBound << ".\n";
-    o << "  Lower bound: " << lowerBound << ".\n";
-    o << "  Pruned: " << pruned << ".\n";
-    o << "  Static pruned: " << staticPruned << ".\n";
-    o << "  Owner: " << owner << ".\n";
-    return o.str();
-  }
-
  private:
   double upperBound;
   double lowerBound;
diff --git a/src/mlpack/methods/kmeans/kmeans.hpp b/src/mlpack/methods/kmeans/kmeans.hpp
index 881b19fe551..0e698931dc7 100644
--- a/src/mlpack/methods/kmeans/kmeans.hpp
+++ b/src/mlpack/methods/kmeans/kmeans.hpp
@@ -168,9 +168,6 @@ class KMeans
   //! Modify the empty cluster policy.
   EmptyClusterPolicy& EmptyClusterAction() { return emptyClusterAction; }
 
-  // Returns a string representation of this object.
-  std::string ToString() const;
-
   //! Serialize the k-means object.
   template<typename Archive>
   void Serialize(Archive& ar, const unsigned int version);
diff --git a/src/mlpack/methods/kmeans/kmeans_impl.hpp b/src/mlpack/methods/kmeans/kmeans_impl.hpp
index 354b13a9afb..0e0942b4612 100644
--- a/src/mlpack/methods/kmeans/kmeans_impl.hpp
+++ b/src/mlpack/methods/kmeans/kmeans_impl.hpp
@@ -265,26 +265,6 @@ Cluster(const MatType& data,
   }
 }
 
-template<typename MetricType,
-         typename InitialPartitionPolicy,
-         typename EmptyClusterPolicy,
-         template<class, class> class LloydStepType,
-         typename MatType>
-std::string KMeans<MetricType,
-    InitialPartitionPolicy,
-    EmptyClusterPolicy,
-    LloydStepType,
-    MatType>::ToString() const
-{
-  std::ostringstream convert;
-  convert << "KMeans [" << this << "]" << std::endl;
-  convert << "  Max Iterations: " << maxIterations << std::endl;
-  convert << "  Metric: " << std::endl;
-  convert << mlpack::util::Indent(metric.ToString(), 2);
-  convert << std::endl;
-  return convert.str();
-}
-
 template<typename MetricType,
          typename InitialPartitionPolicy,
          typename EmptyClusterPolicy,
diff --git a/src/mlpack/methods/kmeans/pelleg_moore_kmeans_statistic.hpp b/src/mlpack/methods/kmeans/pelleg_moore_kmeans_statistic.hpp
index 06297321d92..0c9d094f93f 100644
--- a/src/mlpack/methods/kmeans/pelleg_moore_kmeans_statistic.hpp
+++ b/src/mlpack/methods/kmeans/pelleg_moore_kmeans_statistic.hpp
@@ -58,16 +58,6 @@ class PellegMooreKMeansStatistic
   //! Modify the node's centroid (be careful!).
   arma::vec& Centroid() { return centroid; }
 
-  //! Return the object as a string.
-  std::string ToString() const
-  {
-    std::ostringstream convert;
-    convert << "KMeansStatistic [" << this << "]" << std::endl;
-    convert << "  Blacklist: " << blacklist.t();
-    convert << "  Centroid: " << centroid.t();
-    return convert.str();
-  }
-
  private:
   //! The cluster blacklist for the node.
   arma::uvec blacklist;
diff --git a/src/mlpack/methods/lars/lars.cpp b/src/mlpack/methods/lars/lars.cpp
index fa23f91fc79..7812125a573 100644
--- a/src/mlpack/methods/lars/lars.cpp
+++ b/src/mlpack/methods/lars/lars.cpp
@@ -488,14 +488,3 @@ void LARS::CholeskyDelete(const size_t colToKill)
     matUtriCholFactor.shed_row(n);
   }
 }
-
-std::string LARS::ToString() const
-{
-  std::ostringstream convert;
-  convert << "LARS [" << this << "]" << std::endl;
-  convert << "  Gram Matrix: " << matGram.n_rows << "x" << matGram.n_cols;
-  convert << std::endl;
-  convert << "  Tolerance: " << tolerance << std::endl;
-  return convert.str();
-}
-
diff --git a/src/mlpack/methods/lars/lars.hpp b/src/mlpack/methods/lars/lars.hpp
index 2682311d897..01629a74bfb 100644
--- a/src/mlpack/methods/lars/lars.hpp
+++ b/src/mlpack/methods/lars/lars.hpp
@@ -163,9 +163,6 @@ class LARS
   //! Access the upper triangular cholesky factor.
   const arma::mat& MatUtriCholFactor() const { return matUtriCholFactor; }
 
-  // Returns a string representation of this object.
-  std::string ToString() const;
-
  private:
   //! Gram matrix.
   arma::mat matGramInternal;
diff --git a/src/mlpack/methods/linear_regression/linear_regression.cpp b/src/mlpack/methods/linear_regression/linear_regression.cpp
index 14f44dae4b7..3da527ca8f9 100644
--- a/src/mlpack/methods/linear_regression/linear_regression.cpp
+++ b/src/mlpack/methods/linear_regression/linear_regression.cpp
@@ -153,11 +153,3 @@ double LinearRegression::ComputeError(const arma::mat& predictors,
 
   return cost;
 }
-
-std::string LinearRegression::ToString() const
-{
-  std::ostringstream convert;
-  convert << "Linear Regression [" << this << "]" << std::endl;
-  convert << "  Lambda: " << lambda << std::endl;
-  return convert.str();
-}
diff --git a/src/mlpack/methods/linear_regression/linear_regression.hpp b/src/mlpack/methods/linear_regression/linear_regression.hpp
index ae4a1b7b757..a0f226cc885 100644
--- a/src/mlpack/methods/linear_regression/linear_regression.hpp
+++ b/src/mlpack/methods/linear_regression/linear_regression.hpp
@@ -119,9 +119,6 @@ class LinearRegression
     ar & data::CreateNVP(intercept, "intercept");
   }
 
-  // Returns a string representation of this object.
-  std::string ToString() const;
-
  private:
   /**
    * The calculated B.
diff --git a/src/mlpack/methods/local_coordinate_coding/lcc.hpp b/src/mlpack/methods/local_coordinate_coding/lcc.hpp
index 7025f9f9b40..185e9418505 100644
--- a/src/mlpack/methods/local_coordinate_coding/lcc.hpp
+++ b/src/mlpack/methods/local_coordinate_coding/lcc.hpp
@@ -130,9 +130,6 @@ class LocalCoordinateCoding
   //! Modify the codes.
   arma::mat& Codes() { return codes; }
 
-  // Returns a string representation of this object.
-  std::string ToString() const;
-
  private:
   //! Number of atoms in dictionary.
   size_t atoms;
diff --git a/src/mlpack/methods/local_coordinate_coding/lcc_impl.hpp b/src/mlpack/methods/local_coordinate_coding/lcc_impl.hpp
index f90f65cb28d..d7657d3d876 100644
--- a/src/mlpack/methods/local_coordinate_coding/lcc_impl.hpp
+++ b/src/mlpack/methods/local_coordinate_coding/lcc_impl.hpp
@@ -307,16 +307,6 @@ double LocalCoordinateCoding<DictionaryInitializer>::Objective(
   double froNormResidual = norm(data - dictionary * codes, "fro");
   return std::pow(froNormResidual, 2.0) + lambda * weightedL1NormZ;
 }
-template<typename DictionaryInitializer>
-std::string LocalCoordinateCoding<DictionaryInitializer>::ToString() const
-{
-  std::ostringstream convert;
-  convert << "Local Coordinate Coding [" << this << "]" << std::endl;
-  convert << "  Number of Atoms: " << atoms << std::endl;
-  convert << "  Data: " << data.n_rows << "x" << data.n_cols << std::endl;
-  convert << "  Lambda: " << lambda << std::endl;
-  return convert.str();
-}
 
 } // namespace lcc
 } // namespace mlpack
diff --git a/src/mlpack/methods/logistic_regression/logistic_regression.hpp b/src/mlpack/methods/logistic_regression/logistic_regression.hpp
index d828efcf0c7..8accd0bb54b 100644
--- a/src/mlpack/methods/logistic_regression/logistic_regression.hpp
+++ b/src/mlpack/methods/logistic_regression/logistic_regression.hpp
@@ -193,9 +193,6 @@ class LogisticRegression
   template<typename Archive>
   void Serialize(Archive& ar, const unsigned int /* version */);
 
-  //! Returns a string representation of this object.
-  std::string ToString() const;
-
  private:
   //! Vector of trained parameters (size: dimensionality plus one).
   arma::vec parameters;
diff --git a/src/mlpack/methods/logistic_regression/logistic_regression_impl.hpp b/src/mlpack/methods/logistic_regression/logistic_regression_impl.hpp
index ebfb39282f9..69d93e0c70a 100644
--- a/src/mlpack/methods/logistic_regression/logistic_regression_impl.hpp
+++ b/src/mlpack/methods/logistic_regression/logistic_regression_impl.hpp
@@ -148,16 +148,6 @@ void LogisticRegression<MatType>::Serialize(
   ar & data::CreateNVP(lambda, "lambda");
 }
 
-template<typename MatType>
-std::string LogisticRegression<MatType>::ToString() const
-{
-  std::ostringstream convert;
-  convert << "Logistic Regression [" << this << "]" << std::endl;
-  convert << "  Parameters: " << parameters.n_rows << std::endl;
-  convert << "  Lambda: " << lambda << std::endl;
-  return convert.str();
-}
-
 } // namespace regression
 } // namespace mlpack
 
diff --git a/src/mlpack/methods/lsh/lsh_search.hpp b/src/mlpack/methods/lsh/lsh_search.hpp
index 01f77440996..d4ff0629eff 100644
--- a/src/mlpack/methods/lsh/lsh_search.hpp
+++ b/src/mlpack/methods/lsh/lsh_search.hpp
@@ -149,9 +149,6 @@ class LSHSearch
   template<typename Archive>
   void Serialize(Archive& ar, const unsigned int /* version */);
 
-  //! Returns a string representation of this object.
-  std::string ToString() const;
-
   //! Return the number of distance evaluations performed.
   size_t DistanceEvaluations() const { return distanceEvaluations; }
   //! Modify the number of distance evaluations performed.
diff --git a/src/mlpack/methods/lsh/lsh_search_impl.hpp b/src/mlpack/methods/lsh/lsh_search_impl.hpp
index f74c11f30f8..1db8ab197f7 100644
--- a/src/mlpack/methods/lsh/lsh_search_impl.hpp
+++ b/src/mlpack/methods/lsh/lsh_search_impl.hpp
@@ -532,19 +532,6 @@ void LSHSearch<SortPolicy>::Serialize(Archive& ar,
   ar & CreateNVP(distanceEvaluations, "distanceEvaluations");
 }
 
-template<typename SortPolicy>
-std::string LSHSearch<SortPolicy>::ToString() const
-{
-  std::ostringstream convert;
-  convert << "LSHSearch [" << this << "]" << std::endl;
-  convert << "  Reference set: " << referenceSet->n_rows << "x" ;
-  convert <<  referenceSet->n_cols << std::endl;
-  convert << "  Number of Projections: " << numProj << std::endl;
-  convert << "  Number of Tables: " << numTables << std::endl;
-  convert << "  Hash Width: " << hashWidth << std::endl;
-  return convert.str();
-}
-
 } // namespace neighbor
 } // namespace mlpack
 
diff --git a/src/mlpack/methods/nca/nca.hpp b/src/mlpack/methods/nca/nca.hpp
index 49cba7c9a41..298d64e82b2 100644
--- a/src/mlpack/methods/nca/nca.hpp
+++ b/src/mlpack/methods/nca/nca.hpp
@@ -83,9 +83,6 @@ class NCA
   OptimizerType<SoftmaxErrorFunction<MetricType> >& Optimizer()
   { return optimizer; }
 
-  // Returns a string representation of this object.
-  std::string ToString() const;
-
  private:
   //! Dataset reference.
   const arma::mat& dataset;
diff --git a/src/mlpack/methods/nca/nca_impl.hpp b/src/mlpack/methods/nca/nca_impl.hpp
index aba623d9cc8..49ff29da389 100644
--- a/src/mlpack/methods/nca/nca_impl.hpp
+++ b/src/mlpack/methods/nca/nca_impl.hpp
@@ -40,19 +40,6 @@ void NCA<MetricType, OptimizerType>::LearnDistance(arma::mat& outputMatrix)
   Timer::Stop("nca_sgd_optimization");
 }
 
-template<typename MetricType, template<typename> class OptimizerType>
-std::string NCA<MetricType, OptimizerType>::ToString() const
-{
-  std::ostringstream convert;
-  convert << "NCA  [" << this << "]" << std::endl;
-  convert << "  Dataset: " << dataset.n_rows << "x" << dataset.n_cols
-      << std::endl;
-  convert << "  Metric: " << std::endl <<
-      mlpack::util::Indent(metric.ToString(),2);
-  return convert.str();
-}
-
-
 } // namespace nca
 } // namespace mlpack
 
diff --git a/src/mlpack/methods/nca/nca_softmax_error_function.hpp b/src/mlpack/methods/nca/nca_softmax_error_function.hpp
index 54c9934b2b8..4d162cd77e3 100644
--- a/src/mlpack/methods/nca/nca_softmax_error_function.hpp
+++ b/src/mlpack/methods/nca/nca_softmax_error_function.hpp
@@ -108,9 +108,6 @@ class SoftmaxErrorFunction
    */
   size_t NumFunctions() const { return dataset.n_cols; }
 
-  // convert the obkect into a string
-  std::string ToString() const;
-
  private:
   //! The dataset.
   const arma::mat& dataset;
diff --git a/src/mlpack/methods/nca/nca_softmax_error_function_impl.hpp b/src/mlpack/methods/nca/nca_softmax_error_function_impl.hpp
index 346457f4d72..de97ace3b71 100644
--- a/src/mlpack/methods/nca/nca_softmax_error_function_impl.hpp
+++ b/src/mlpack/methods/nca/nca_softmax_error_function_impl.hpp
@@ -267,18 +267,6 @@ void SoftmaxErrorFunction<MetricType>::Precalculate(
   precalculated = true;
 }
 
-template<typename MetricType>
-std::string SoftmaxErrorFunction<MetricType>::ToString() const{
-  std::ostringstream convert;
-  convert << "Sofmax Error Function [" << this << "]" << std::endl;
-  convert << "  Dataset: " << dataset.n_rows << "x" << dataset.n_cols
-      << std::endl;
-  convert << "  Labels: " << labels.n_elem << std::endl;
-  //convert << "Metric: " << metric << std::endl;
-  convert << "  Precalculated: " << precalculated << std::endl;
-  return convert.str();
-}
-
 } // namespace nca
 } // namespace mlpack
 
diff --git a/src/mlpack/methods/neighbor_search/neighbor_search.hpp b/src/mlpack/methods/neighbor_search/neighbor_search.hpp
index 1c74393aaef..d2055a1208b 100644
--- a/src/mlpack/methods/neighbor_search/neighbor_search.hpp
+++ b/src/mlpack/methods/neighbor_search/neighbor_search.hpp
@@ -248,9 +248,6 @@ class NeighborSearch
               arma::Mat<size_t>& neighbors,
               arma::mat& distances);
 
-  //! Returns a string representation of this object.
-  std::string ToString() const;
-
   //! Return the total number of base case evaluations performed during the last
   //! search.
   size_t BaseCases() const { return baseCases; }
diff --git a/src/mlpack/methods/neighbor_search/neighbor_search_impl.hpp b/src/mlpack/methods/neighbor_search/neighbor_search_impl.hpp
index 6f01c0f48d5..2657f5f8371 100644
--- a/src/mlpack/methods/neighbor_search/neighbor_search_impl.hpp
+++ b/src/mlpack/methods/neighbor_search/neighbor_search_impl.hpp
@@ -689,30 +689,6 @@ Search(const size_t k,
   }
 }
 
-// Return a String of the Object.
-template<typename SortPolicy,
-         typename MetricType,
-         typename MatType,
-         template<typename TreeMetricType,
-                  typename TreeStatType,
-                  typename TreeMatType> class TreeType,
-         template<typename> class TraversalType>
-std::string NeighborSearch<SortPolicy, MetricType, MatType, TreeType,
-                           TraversalType>::ToString() const
-{
-  std::ostringstream convert;
-  convert << "NeighborSearch [" << this << "]" << std::endl;
-  convert << "  Reference set: " << referenceSet->n_rows << "x" ;
-  convert << referenceSet->n_cols << std::endl;
-  if (referenceTree)
-    convert << "  Reference tree: " << referenceTree << std::endl;
-  convert << "  Tree owner: " << treeOwner << std::endl;
-  convert << "  Naive: " << naive << std::endl;
-  convert << "  Metric: " << std::endl;
-  convert << mlpack::util::Indent(metric.ToString(),2);
-  return convert.str();
-}
-
 //! Serialize the NeighborSearch model.
 template<typename SortPolicy,
          typename MetricType,
diff --git a/src/mlpack/methods/pca/pca.cpp b/src/mlpack/methods/pca/pca.cpp
index ed65aeefadc..62c78def76a 100644
--- a/src/mlpack/methods/pca/pca.cpp
+++ b/src/mlpack/methods/pca/pca.cpp
@@ -171,13 +171,3 @@ double PCA::Apply(arma::mat& data, const double varRetained) const
 
   return varSum;
 }
-
-// return a string of this object.
-std::string PCA::ToString() const
-{
-  std::ostringstream convert;
-  convert << "Principal Component Analysis  [" << this << "]" << std::endl;
-  if (scaleData)
-    convert << "  Scaling Data: TRUE" << std::endl;
-  return convert.str();
-}
diff --git a/src/mlpack/methods/pca/pca.hpp b/src/mlpack/methods/pca/pca.hpp
index bf08acb7db4..6775372afb1 100644
--- a/src/mlpack/methods/pca/pca.hpp
+++ b/src/mlpack/methods/pca/pca.hpp
@@ -100,9 +100,6 @@ class PCA
   //! the data when PCA is performed.
   bool& ScaleData() { return scaleData; }
 
-  // Returns a string representation of this object.
-  std::string ToString() const;
-
  private:
   //! Whether or not the data will be scaled by standard deviation when PCA is
   //! performed.
diff --git a/src/mlpack/methods/radical/radical.cpp b/src/mlpack/methods/radical/radical.cpp
index c812cedb536..18ec45f2a4d 100644
--- a/src/mlpack/methods/radical/radical.cpp
+++ b/src/mlpack/methods/radical/radical.cpp
@@ -184,15 +184,3 @@ void mlpack::radical::WhitenFeatureMajorMatrix(const mat& matX,
   matWhitening = matU * diagmat(1 / sqrt(s)) * trans(matV);
   matXWhitened = matX * matWhitening;
 }
-
-// return a string of this object.
-std::string Radical::ToString() const
-{
-  std::ostringstream convert;
-  convert << "Radical  [" << this << "]" << std::endl;
-  convert << "  StdDev of Noise: " << noiseStdDev << std::endl;
-  convert << "  Number of Replicates: " << replicates << std::endl;
-  convert << "  Number of Angles: " << angles << std::endl;
-  convert << "  M value: " << m << std::endl;
-  return convert.str();
-}
diff --git a/src/mlpack/methods/radical/radical.hpp b/src/mlpack/methods/radical/radical.hpp
index 01b4e828062..67f98dec580 100644
--- a/src/mlpack/methods/radical/radical.hpp
+++ b/src/mlpack/methods/radical/radical.hpp
@@ -106,9 +106,6 @@ class Radical
   //! Modify the number of sweeps.
   size_t& Sweeps() { return sweeps; }
 
-  // Returns a string representation of this object.
-  std::string ToString() const;
-
  private:
   //! Standard deviation of the Gaussian noise added to the replicates of
   //! the data points during Radical2D.
diff --git a/src/mlpack/methods/range_search/range_search.hpp b/src/mlpack/methods/range_search/range_search.hpp
index 1ecf0f49055..4567f907a5a 100644
--- a/src/mlpack/methods/range_search/range_search.hpp
+++ b/src/mlpack/methods/range_search/range_search.hpp
@@ -284,9 +284,6 @@ class RangeSearch
   template<typename Archive>
   void Serialize(Archive& ar, const unsigned int version);
 
-  //! Returns a string representation of this object.
-  std::string ToString() const;
-
   //! Return the reference set.
   const MatType& ReferenceSet() const { return *referenceSet; }
 
diff --git a/src/mlpack/methods/range_search/range_search_impl.hpp b/src/mlpack/methods/range_search/range_search_impl.hpp
index 3ac24f25d3a..cc67146dfcc 100644
--- a/src/mlpack/methods/range_search/range_search_impl.hpp
+++ b/src/mlpack/methods/range_search/range_search_impl.hpp
@@ -695,24 +695,6 @@ void RangeSearch<MetricType, MatType, TreeType>::Serialize(
   }
 }
 
-template<typename MetricType,
-         typename MatType,
-         template<typename TreeMetricType,
-                  typename TreeStatType,
-                  typename TreeMatType> class TreeType>
-std::string RangeSearch<MetricType, MatType, TreeType>::ToString() const
-{
-  std::ostringstream convert;
-  convert << "Range Search  [" << this << "]" << std::endl;
-  if (treeOwner)
-    convert << "  Tree Owner: TRUE" << std::endl;
-  if (naive)
-    convert << "  Naive: TRUE" << std::endl;
-  convert << "  Metric: " << std::endl <<
-      mlpack::util::Indent(metric.ToString(),2);
-  return convert.str();
-}
-
 } // namespace range
 } // namespace mlpack
 
diff --git a/src/mlpack/methods/rann/ra_search.hpp b/src/mlpack/methods/rann/ra_search.hpp
index 40a4c0f3780..594fa67960a 100644
--- a/src/mlpack/methods/rann/ra_search.hpp
+++ b/src/mlpack/methods/rann/ra_search.hpp
@@ -287,9 +287,6 @@ class RASearch
   //! Modify the limit on the size of a node that can be approximation.
   size_t& SingleSampleLimit() { return singleSampleLimit; }
 
-  //! Returns a string representation of this object.
-  std::string ToString() const;
-
   //! Serialize the object.
   template<typename Archive>
   void Serialize(Archive& ar, const unsigned int /* version */);
diff --git a/src/mlpack/methods/rann/ra_search_impl.hpp b/src/mlpack/methods/rann/ra_search_impl.hpp
index 0c60234b255..f6da87cb0a5 100644
--- a/src/mlpack/methods/rann/ra_search_impl.hpp
+++ b/src/mlpack/methods/rann/ra_search_impl.hpp
@@ -481,51 +481,6 @@ void RASearch<SortPolicy, MetricType, MatType, TreeType>::ResetQueryTree(
     ResetQueryTree(&queryNode->Child(i));
 }
 
-// Returns a string representation of the object.
-template<typename SortPolicy,
-         typename MetricType,
-         typename MatType,
-         template<typename TreeMetricType,
-                  typename TreeStatType,
-                  typename TreeMatType> class TreeType>
-std::string RASearch<SortPolicy, MetricType, MatType, TreeType>::ToString()
-    const
-{
-  std::ostringstream convert;
-  convert << "RASearch [" << this << "]" << std::endl;
-  convert << "  referenceSet: " << referenceSet->n_rows << "x"
-      << referenceSet->n_cols << std::endl;
-
-  convert << "  naive: ";
-  if (naive)
-    convert << "true" << std::endl;
-  else
-    convert << "false" << std::endl;
-
-  convert << "  singleMode: ";
-  if (singleMode)
-    convert << "true" << std::endl;
-  else
-    convert << "false" << std::endl;
-
-  convert << "  tau: " << tau << std::endl;
-  convert << "  alpha: " << alpha << std::endl;
-  convert << "  sampleAtLeaves: ";
-  if (sampleAtLeaves)
-    convert << "true" << std::endl;
-  else
-    convert << "false" << std::endl;
-
-  convert << "  firstLeafExact: ";
-  if (firstLeafExact)
-    convert << "true" << std::endl;
-  else
-    convert << "false" << std::endl;
-  convert << "  singleSampleLimit: " << singleSampleLimit << std::endl;
-  convert << "  metric: " << std::endl << util::Indent(metric.ToString(), 2);
-  return convert.str();
-}
-
 template<typename SortPolicy,
          typename MetricType,
          typename MatType,
diff --git a/src/mlpack/methods/sparse_coding/sparse_coding.hpp b/src/mlpack/methods/sparse_coding/sparse_coding.hpp
index 59c1ef8e90a..0590cbb8342 100644
--- a/src/mlpack/methods/sparse_coding/sparse_coding.hpp
+++ b/src/mlpack/methods/sparse_coding/sparse_coding.hpp
@@ -180,9 +180,6 @@ class SparseCoding
   //! Modify the sparse codes.
   arma::mat& Codes() { return codes; }
 
-  // Returns a string representation of this object.
-  std::string ToString() const;
-
  private:
   //! Number of atoms.
   size_t atoms;
diff --git a/src/mlpack/methods/sparse_coding/sparse_coding_impl.hpp b/src/mlpack/methods/sparse_coding/sparse_coding_impl.hpp
index 9e04f52489c..04019360966 100644
--- a/src/mlpack/methods/sparse_coding/sparse_coding_impl.hpp
+++ b/src/mlpack/methods/sparse_coding/sparse_coding_impl.hpp
@@ -334,19 +334,6 @@ double SparseCoding<DictionaryInitializer>::Objective() const
   }
 }
 
-template<typename DictionaryInitializer>
-std::string SparseCoding<DictionaryInitializer>::ToString() const
-{
-  std::ostringstream convert;
-  convert << "Sparse Coding  [" << this << "]" << std::endl;
-  convert << "  Data: " << data.n_rows << "x" ;
-  convert <<  data.n_cols << std::endl;
-  convert << "  Atoms: " << atoms << std::endl;
-  convert << "  Lambda 1: " << lambda1 << std::endl;
-  convert << "  Lambda 2: " << lambda2 << std::endl;
-  return convert.str();
-}
-
 } // namespace sparse_coding
 } // namespace mlpack
 
diff --git a/src/mlpack/tests/CMakeLists.txt b/src/mlpack/tests/CMakeLists.txt
index b4f3a374ea5..ab66e76d86a 100644
--- a/src/mlpack/tests/CMakeLists.txt
+++ b/src/mlpack/tests/CMakeLists.txt
@@ -63,7 +63,6 @@ add_executable(mlpack_test
   sparse_autoencoder_test.cpp
   sparse_coding_test.cpp
   termination_policy_test.cpp
-  to_string_test.cpp
   tree_test.cpp
   tree_traits_test.cpp
   union_find_test.cpp
diff --git a/src/mlpack/tests/to_string_test.cpp b/src/mlpack/tests/to_string_test.cpp
deleted file mode 100644
index ffd774d8931..00000000000
--- a/src/mlpack/tests/to_string_test.cpp
+++ /dev/null
@@ -1,533 +0,0 @@
-/**
- * @file to_string_test.cpp
- * @author Ryan Birmingham
- *
- * Test of the toString functionality.
- **/
-
-#include <mlpack/core.hpp>
-#include <boost/test/unit_test.hpp>
-#include "old_boost_test_definitions.hpp"
-
-#include <mlpack/core/metrics/ip_metric.hpp>
-#include <mlpack/core/metrics/lmetric.hpp>
-#include <mlpack/core/metrics/mahalanobis_distance.hpp>
-
-#include <mlpack/core/kernels/pspectrum_string_kernel.hpp>
-#include <mlpack/core/kernels/example_kernel.hpp>
-
-#include <mlpack/core/optimizers/aug_lagrangian/aug_lagrangian.hpp>
-#include <mlpack/core/optimizers/lbfgs/lbfgs.hpp>
-#include <mlpack/core/optimizers/sdp/lrsdp.hpp>
-#include <mlpack/core/optimizers/sgd/sgd.hpp>
-#include <mlpack/methods/nca/nca_softmax_error_function.hpp>
-#include <mlpack/core/optimizers/aug_lagrangian/aug_lagrangian_test_functions.hpp>
-
-#include <mlpack/core/tree/ballbound.hpp>
-#include <mlpack/core/tree/binary_space_tree.hpp>
-#include <mlpack/core/tree/bounds.hpp>
-#include <mlpack/core/tree/hrectbound.hpp>
-#include <mlpack/core/tree/statistic.hpp>
-
-#include <mlpack/methods/cf/cf.hpp>
-#include <mlpack/methods/det/dtree.hpp>
-#include <mlpack/methods/emst/dtb.hpp>
-#include <mlpack/methods/fastmks/fastmks.hpp>
-#include <mlpack/methods/gmm/gmm.hpp>
-#include <mlpack/methods/hmm/hmm.hpp>
-#include <mlpack/methods/kernel_pca/kernel_pca.hpp>
-#include <mlpack/methods/kmeans/kmeans.hpp>
-#include <mlpack/methods/lars/lars.hpp>
-#include <mlpack/methods/linear_regression/linear_regression.hpp>
-#include <mlpack/methods/local_coordinate_coding/lcc.hpp>
-#include <mlpack/methods/logistic_regression/logistic_regression.hpp>
-#include <mlpack/methods/lsh/lsh_search.hpp>
-#include <mlpack/methods/neighbor_search/neighbor_search.hpp>
-#include <mlpack/methods/amf/amf.hpp>
-#include <mlpack/methods/nca/nca.hpp>
-#include <mlpack/methods/pca/pca.hpp>
-#include <mlpack/methods/radical/radical.hpp>
-#include <mlpack/methods/range_search/range_search.hpp>
-#include <mlpack/methods/rann/ra_search.hpp>
-#include <mlpack/methods/sparse_coding/sparse_coding.hpp>
-
-using namespace mlpack;
-using namespace mlpack::kernel;
-using namespace mlpack::distribution;
-using namespace mlpack::metric;
-using namespace mlpack::nca;
-using namespace mlpack::bound;
-using namespace mlpack::tree;
-using namespace mlpack::neighbor;
-
-//using namespace mlpack::optimization;
-
-BOOST_AUTO_TEST_SUITE(ToStringTest);
-
-std::ostringstream testOstream;
-
-BOOST_AUTO_TEST_CASE(DiscreteDistributionString)
-{
-  DiscreteDistribution d("0.4 0.5 0.1");
-  Log::Debug << d;
-  testOstream << d;
-  std::string s = d.ToString();
-  BOOST_REQUIRE_NE(s, "");
-}
-
-BOOST_AUTO_TEST_CASE(GaussianDistributionString)
-{
-  GaussianDistribution d("0.1 0.3", "1.0 0.1; 0.1 1.0");
-  Log::Debug << d;
-  testOstream << d;
-  std::string s = d.ToString();
-  BOOST_REQUIRE_NE(s, "");
-}
-
-BOOST_AUTO_TEST_CASE(CosineDistanceString)
-{
-  CosineDistance d;
-  Log::Debug << d;
-  testOstream << d;
-  std::string s = d.ToString();
-  BOOST_REQUIRE_NE(s, "");
-}
-
-BOOST_AUTO_TEST_CASE(EpanechnikovKernelString)
-{
-  EpanechnikovKernel d;
-  Log::Debug << d;
-  testOstream << d;
-  std::string s = d.ToString();
-  BOOST_REQUIRE_NE(s, "");
-}
-
-BOOST_AUTO_TEST_CASE(ExampleKernelString)
-{
-  ExampleKernel d;
-  Log::Debug << d;
-  testOstream << d;
-  std::string s = d.ToString();
-  BOOST_REQUIRE_NE(s, "");
-}
-
-BOOST_AUTO_TEST_CASE(GaussianKernelString)
-{
-  GaussianKernel d;
-  Log::Debug << d;
-  testOstream << d;
-  std::string s = d.ToString();
-  BOOST_REQUIRE_NE(s, "");
-}
-
-BOOST_AUTO_TEST_CASE(HyperbolicTangentKernelString)
-{
-  HyperbolicTangentKernel d;
-  Log::Debug << d;
-  testOstream << d;
-  std::string s = d.ToString();
-  BOOST_REQUIRE_NE(s, "");
-}
-
-BOOST_AUTO_TEST_CASE(LaplacianKernelString)
-{
-  LaplacianKernel d;
-  Log::Debug << d;
-  testOstream << d;
-  std::string s = d.ToString();
-  BOOST_REQUIRE_NE(s, "");
-}
-
-BOOST_AUTO_TEST_CASE(LinearKernelString)
-{
-  LinearKernel d;
-  Log::Debug << d;
-  testOstream << d;
-  std::string s = d.ToString();
-  BOOST_REQUIRE_NE(s, "");
-}
-
-BOOST_AUTO_TEST_CASE(PolynomialKernelString)
-{
-  PolynomialKernel d;
-  Log::Debug << d;
-  testOstream << d;
-  std::string s = d.ToString();
-  BOOST_REQUIRE_NE(s, "");
-}
-
-BOOST_AUTO_TEST_CASE(PSpectrumStringKernelString)
-{
-  const std::vector<std::vector<std::string> > s;
-  const size_t t = 1;
-  PSpectrumStringKernel d(s, t);
-  Log::Debug << d;
-  testOstream << d;
-  std::string sttm = d.ToString();
-  BOOST_REQUIRE_NE(sttm, "");
-}
-
-BOOST_AUTO_TEST_CASE(SphericalKernelString)
-{
-  SphericalKernel d;
-  Log::Debug << d;
-  testOstream << d;
-  std::string s = d.ToString();
-  BOOST_REQUIRE_NE(s, "");
-}
-
-BOOST_AUTO_TEST_CASE(TriangularKernelString)
-{
-  TriangularKernel d;
-  Log::Debug << d;
-  testOstream << d;
-  std::string s = d.ToString();
-  BOOST_REQUIRE_NE(s, "");
-}
-
-BOOST_AUTO_TEST_CASE(IPMetricString)
-{
-  IPMetric<TriangularKernel> d;
-  Log::Debug << d;
-  testOstream << d;
-  std::string s = d.ToString();
-  BOOST_REQUIRE_NE(s, "");
-}
-
-BOOST_AUTO_TEST_CASE(LMetricString)
-{
-  LMetric<1> d;
-  Log::Debug << d;
-  testOstream << d;
-  std::string s = d.ToString();
-  BOOST_REQUIRE_NE(s, "");
-}
-
-BOOST_AUTO_TEST_CASE(MahalanobisDistanceString)
-{
-  MahalanobisDistance<> d;
-  Log::Debug << d;
-  testOstream << d;
-  std::string s = d.ToString();
-  BOOST_REQUIRE_NE(s, "");
-}
-
-BOOST_AUTO_TEST_CASE(SGDString)
-{
-  const arma::mat g(2, 2);
-  const arma::Col<size_t> v(2);
-  SoftmaxErrorFunction<> a(g, v);
-  mlpack::optimization::SGD<SoftmaxErrorFunction<> > d(a);
-  Log::Debug << d;
-  testOstream << d;
-  std::string s = d.ToString();
-  BOOST_REQUIRE_NE(s, "");
-}
-
-BOOST_AUTO_TEST_CASE(L_BFGSString)
-{
-  const arma::mat g(2, 2);
-  const arma::Col<size_t> v(2);
-  SoftmaxErrorFunction<> a(g, v);
-  mlpack::optimization::L_BFGS<SoftmaxErrorFunction<> > d(a);
-  Log::Debug << d;
-  testOstream << d;
-  std::string s = d.ToString();
-  BOOST_REQUIRE_NE(s, "");
-}
-
-BOOST_AUTO_TEST_CASE(AugLagString)
-{
-  mlpack::optimization::AugLagrangianTestFunction a;
-  mlpack::optimization::AugLagrangian<
-      mlpack::optimization::AugLagrangianTestFunction> d(a);
-  Log::Debug << d;
-  testOstream << d;
-  std::string s = d.ToString();
-  BOOST_REQUIRE_NE(s, "");
-}
-
-BOOST_AUTO_TEST_CASE(LRSDPString)
-{
-  arma::mat c(40, 40);
-  c.randn();
-  const size_t b=3;
-  mlpack::optimization::LRSDP<mlpack::optimization::SDP<arma::sp_mat>> d(b,b,c);
-  Log::Debug << d;
-  testOstream << d;
-  std::string s = d.ToString();
-  BOOST_REQUIRE_NE(s, "");
-}
-
-BOOST_AUTO_TEST_CASE(BallBoundString)
-{
-  BallBound<> d(3.5, "1.0 2.0");
-  Log::Debug << d;
-  testOstream << d;
-  std::string s = d.ToString();
-  BOOST_REQUIRE_NE(s, "");
-}
-
-BOOST_AUTO_TEST_CASE(BinSpaceString)
-{
-  arma::mat q(2, 50);
-  q.randu();
-  KDTree<ManhattanDistance, EmptyStatistic, arma::mat> d(q);
-  Log::Debug << d;
-  testOstream << d;
-  std::string s = d.ToString();
-  BOOST_REQUIRE_NE(s, "");
-}
-
-BOOST_AUTO_TEST_CASE(CoverTreeString)
-{
-  arma::mat q(2, 50);
-  q.randu();
-  StandardCoverTree<EuclideanDistance, EmptyStatistic, arma::mat> d(q);
-  Log::Debug << d;
-  testOstream << d;
-  std::string s = d.ToString();
-  BOOST_REQUIRE_NE(s, "");
-}
-
-BOOST_AUTO_TEST_CASE(CFString)
-{
-  arma::mat c(3, 3);
-  c(0, 0) = 1;
-  c(1, 0) = 2;
-  c(2, 0) = 1.5;
-  c(0, 1) = 2;
-  c(1, 1) = 3;
-  c(2, 1) = 2.0;
-  c(0, 2) = 1;
-  c(1, 2) = 3;
-  c(2, 2) = 0.7;
-  mlpack::cf::CF<> d(c);
-  Log::Debug << d;
-  testOstream << d;
-  std::string s = d.ToString();
-  BOOST_REQUIRE_NE(s, "");
-}
-
-BOOST_AUTO_TEST_CASE(DetString)
-{
-  arma::mat c(4, 4);
-  c.randn();
-  mlpack::det::DTree d(c);
-  Log::Debug << d;
-  testOstream << d;
-  std::string s = d.ToString();
-  BOOST_REQUIRE_NE(s, "");
-}
-
-BOOST_AUTO_TEST_CASE(EmstString)
-{
-  arma::mat c(4, 4);
-  c.randu();
-  mlpack::emst::DualTreeBoruvka<> d(c);
-  Log::Debug << d;
-  testOstream << d;
-  std::string s = d.ToString();
-  BOOST_REQUIRE_NE(s, "");
-}
-
-BOOST_AUTO_TEST_CASE(FastMKSString)
-{
-  arma::mat c(4, 4);
-  c.randn();
-  mlpack::fastmks::FastMKS<LinearKernel> d(c);
-  Log::Debug << d;
-  testOstream << d;
-  std::string s = d.ToString();
-  BOOST_REQUIRE_NE(s, "");
-}
-
-BOOST_AUTO_TEST_CASE(GMMString)
-{
-  arma::mat c(400, 40);
-  c.randn();
-  mlpack::gmm::GMM<> d(5, 4);
-  Log::Debug << d;
-  testOstream << d;
-  std::string s = d.ToString();
-  BOOST_REQUIRE_NE(s, "");
-}
-
-BOOST_AUTO_TEST_CASE(HMMString)
-{
-  mlpack::hmm::HMM<> d(5, 4);
-  Log::Debug << d;
-  testOstream << d;
-  std::string s = d.ToString();
-  BOOST_REQUIRE_NE(s, "");
-}
-
-BOOST_AUTO_TEST_CASE(KPCAString)
-{
-  LinearKernel k;
-  mlpack::kpca::KernelPCA<LinearKernel> d(k, false);
-  Log::Debug << d;
-  testOstream << d;
-  std::string s = d.ToString();
-  BOOST_REQUIRE_NE(s, "");
-}
-
-BOOST_AUTO_TEST_CASE(KMeansString)
-{
-  mlpack::kmeans::KMeans<metric::ManhattanDistance> d(100);
-  Log::Debug << d;
-  testOstream << d;
-  std::string s = d.ToString();
-  BOOST_REQUIRE_NE(s, "");
-}
-
-BOOST_AUTO_TEST_CASE(LarsString)
-{
-  mlpack::regression::LARS d(false);
-  Log::Debug << d;
-  testOstream << d;
-  std::string s = d.ToString();
-  BOOST_REQUIRE_NE(s, "");
-}
-
-BOOST_AUTO_TEST_CASE(LinRegString)
-{
-  arma::mat c(40, 40);
-  arma::mat b(40, 1);
-  c.randn();
-  b.randn();
-  mlpack::regression::LinearRegression d(c, b);
-  Log::Debug << d;
-  testOstream << d;
-  std::string s = d.ToString();
-  BOOST_REQUIRE_NE(s, "");
-}
-
-BOOST_AUTO_TEST_CASE(LCCString)
-{
-  arma::mat c(40,40);
-  const size_t b=3;
-  const double a=1;
-  c.randn();
-  mlpack::lcc::LocalCoordinateCoding<> d(c, b, a);
-  Log::Debug << d;
-  testOstream << d;
-  std::string s = d.ToString();
-  BOOST_REQUIRE_NE(s, "");
-}
-
-BOOST_AUTO_TEST_CASE(LogRegString)
-{
-  arma::mat c(40, 40);
-  arma::Row<size_t> b(40);
-  c.randn();
-  b.randu();
-  mlpack::regression::LogisticRegression<> d(c, b);
-  Log::Debug << d;
-  testOstream << d;
-  std::string s = d.ToString();
-  BOOST_REQUIRE_NE(s, "");
-}
-
-BOOST_AUTO_TEST_CASE(LSHString)
-{
-  arma::mat c(40, 40);
-  const size_t b=3;
-  c.randn();
-  mlpack::neighbor::LSHSearch<NearestNeighborSort> d(c, b, b);
-  Log::Debug << d;
-  testOstream << d;
-  std::string s = d.ToString();
-  BOOST_REQUIRE_NE(s, "");
-}
-
-BOOST_AUTO_TEST_CASE(NeighborString)
-{
-  arma::mat c(40, 40);
-  c.randn();
-  mlpack::neighbor::NeighborSearch<> d(c);
-  Log::Debug << d;
-  testOstream << d;
-  std::string s = d.ToString();
-  BOOST_REQUIRE_NE(s, "");
-}
-
-/*
-BOOST_AUTO_TEST_CASE(NMFString)
-{
-  arma::mat c(40, 40);
-  c.randn();
-  mlpack::amf::AMF<> d;
-  Log::Debug << d;
-  std::string s = d.ToString();
-  BOOST_REQUIRE_NE(s, "");
-}
-*/
-
-BOOST_AUTO_TEST_CASE(NCAString)
-{
-  arma::mat c(40, 40);
-  arma::Col<size_t> b(3);
-  c.randn();
-  mlpack::nca::NCA<> d(c, b);
-  Log::Debug << d;
-  testOstream << d;
-  std::string s = d.ToString();
-  BOOST_REQUIRE_NE(s, "");
-}
-
-BOOST_AUTO_TEST_CASE(PCAString)
-{
-  mlpack::pca::PCA d(true);
-  Log::Debug << d;
-  testOstream << d;
-  std::string s = d.ToString();
-  BOOST_REQUIRE_NE(s, "");
-}
-
-BOOST_AUTO_TEST_CASE(RadicalString)
-{
-  mlpack::radical::Radical d;
-  Log::Debug << d;
-  testOstream << d;
-  std::string s = d.ToString();
-  BOOST_REQUIRE_NE(s, "");
-}
-
-BOOST_AUTO_TEST_CASE(RangeSearchString)
-{
-  arma::mat c(40, 40);
-  c.randn();
-  mlpack::range::RangeSearch<> d(c);
-  Log::Debug << d;
-  testOstream << d;
-  std::string s = d.ToString();
-  BOOST_REQUIRE_NE(s, "");
-}
-
-BOOST_AUTO_TEST_CASE(RannString)
-{
-  arma::mat c(40, 40);
-  c.randn();
-  mlpack::neighbor::RASearch<> d(c);
-  Log::Debug << d;
-  testOstream << d;
-  std::string s = d.ToString();
-  BOOST_REQUIRE_NE(s, "");
-}
-
-BOOST_AUTO_TEST_CASE(SparseCodingString)
-{
-  arma::mat c(40, 40);
-  c.randn();
-  const size_t b=3;
-  double a=0.1;
-  mlpack::sparse_coding::SparseCoding<> d(c,b,a);
-  Log::Debug << d;
-  testOstream << d;
-  std::string s = d.ToString();
-  BOOST_REQUIRE_NE(s, "");
-}
-
-BOOST_AUTO_TEST_SUITE_END();
-