From 1b8181bf0d6e9137e6b9ccdbe414aec37377a1a9 Mon Sep 17 00:00:00 2001 From: Chris Dyer Date: Sun, 18 Nov 2012 13:35:42 -0500 Subject: major restructure of the training code --- dpmert/line_optimizer.h | 48 ------------------------------------------------ 1 file changed, 48 deletions(-) delete mode 100644 dpmert/line_optimizer.h (limited to 'dpmert/line_optimizer.h') 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 - -#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& 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& dimensions, - SparseVector* axis, - RandomNumberGenerator* 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& primary, - int additional_random_directions, - RandomNumberGenerator* rng, - std::vector >* dirs - , bool include_primary=true - ); - -}; - -#endif -- cgit v1.2.3