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authorChris Dyer <cdyer@allegro.clab.cs.cmu.edu>2012-11-18 13:35:42 -0500
committerChris Dyer <cdyer@allegro.clab.cs.cmu.edu>2012-11-18 13:35:42 -0500
commit1b8181bf0d6e9137e6b9ccdbe414aec37377a1a9 (patch)
tree33e5f3aa5abff1f41314cf8f6afbd2c2c40e4bfd /dpmert/line_optimizer.h
parent7c4665949fb93fb3de402e4ce1d19bef67850d05 (diff)
major restructure of the training code
Diffstat (limited to 'dpmert/line_optimizer.h')
-rw-r--r--dpmert/line_optimizer.h48
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