major restructure of the training code

1 files changed, 0 insertions, 48 deletions

diff --git a/dpmert/line_optimizer.h b/dpmert/line_optimizer.h
deleted file mode 100644
index 83819f41..00000000
--- a/dpmert/line_optimizer.h
+++ /dev/null
@@ -1,48 +0,0 @@
-#ifndef LINE_OPTIMIZER_H_
-#define LINE_OPTIMIZER_H_
-
-#include <vector>
-
-#include "sparse_vector.h"
-#include "error_surface.h"
-#include "sampler.h"
-
-class EvaluationMetric;
-class Weights;
-
-struct LineOptimizer {
-
-  // use MINIMIZE_SCORE for things like TER, WER
-  // MAXIMIZE_SCORE for things like BLEU
-  enum ScoreType { MAXIMIZE_SCORE, MINIMIZE_SCORE };
-
-  // merge all the error surfaces together into a global
-  // error surface and find (the middle of) the best segment
-  static double LineOptimize(
-     const EvaluationMetric* metric,
-     const std::vector<ErrorSurface>& envs,
-     const LineOptimizer::ScoreType type,
-     float* best_score,
-     const double epsilon = 1.0/65536.0);
-
-  // return a random vector of length 1 where all dimensions
-  // not listed in dimensions will be 0.
-  static void RandomUnitVector(const std::vector<int>& dimensions,
-                               SparseVector<double>* axis,
-                               RandomNumberGenerator<boost::mt19937>* rng);
-
-  // generate a list of directions to optimize; the list will
-  // contain the orthogonal vectors corresponding to the dimensions in
-  // primary and then additional_random_directions directions in those
-  // dimensions as well.  All vectors will be length 1.
-  static void CreateOptimizationDirections(
-     const std::vector<int>& primary,
-     int additional_random_directions,
-     RandomNumberGenerator<boost::mt19937>* rng,
-     std::vector<SparseVector<double> >* dirs
-     , bool include_primary=true
-    );
-
-};
-
-#endif