[mlpack] 61/149: Now regression_distribution.cpp

[Barak A. Pearlmutter]

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bap pushed a commit to branch svn-trunk
in repository mlpack.

commit c8f397d9de2c55bb35dd84de906959d8ed8ca873
Author: michaelfox99 <michaelfox99 at 9d5b8971-822b-0410-80eb-d18c1038ef23>
Date:   Sun Nov 2 17:57:02 2014 +0000

    Now regression_distribution.cpp
    
    
    git-svn-id: http://svn.cc.gatech.edu/fastlab/mlpack/trunk@17281 9d5b8971-822b-0410-80eb-d18c1038ef23
---
 src/mlpack/core/dists/hmm_regression_impl.hpp | 64 ---------------------------
 1 file changed, 64 deletions(-)

diff --git a/src/mlpack/core/dists/hmm_regression_impl.hpp b/src/mlpack/core/dists/hmm_regression_impl.hpp
deleted file mode 100644
index 950e4e2..0000000
--- a/src/mlpack/core/dists/hmm_regression_impl.hpp
+++ /dev/null
@@ -1,64 +0,0 @@
-/**
- * @file hmm_regression_impl.hpp
- * @author Michael Fox
- *
- * Implementation of conditional Gaussian distribution for HMM regression (HMMR)
- */
-#ifndef __MLPACK_METHODS_HMM_DISTRIBUTIONS_CONDITIONAL_GAUSSIAN_DISTRIBUTION_IMPL_HPP
-#define __MLPACK_METHODS_HMM_DISTRIBUTIONS_CONDITIONAL_GAUSSIAN_DISTRIBUTION_IMPL_HPP
-
-#include "hmm_regression.hpp"
-
-using namespace mlpack;
-using namespace mlpack::distribution;
-
-/**
- * Returns a string representation of this object.
- */
-std::string HMMRegression::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
-*
-* @param weights probability that given observation is from distribution
-*/
-void HMMRegression::Estimate(const arma::mat& observations,
-                             const arma::vec& weights)
-{
-  regression::LinearRegression lr(observations.rows(1, observations.n_rows-1),
-      (observations.row(0)).t(), 0, true, weights);
-  rf = lr;
-  arma::vec fitted;
-  lr.Predict(observations.rows(1, observations.n_rows-1), fitted);
-  err.Estimate(observations.row(0)-fitted.t(), weights);
-}
-
-/**
-* Evaluate probability density function of given observation  
-*
-* @param observation point to evaluate probability at
-*/
-double HMMRegression::Probability(const arma::vec& observation) const
-{
-  arma::vec fitted;
-  rf.Predict(observation.rows(1, observation.n_rows-1), fitted);
-  return err.Probability(observation(0)-fitted);
-}
-
-
-
-#endif
\ No newline at end of file

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