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VowpalWabbit.h
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1 /*
2  * Copyright (c) 2009 Yahoo! Inc. All rights reserved. The copyrights
3  * embodied in the content of this file are licensed under the BSD
4  * (revised) open source license.
5  *
6  * This program is free software; you can redistribute it and/or modify
7  * it under the terms of the GNU General Public License as published by
8  * the Free Software Foundation; either version 3 of the License, or
9  * (at your option) any later version.
10  *
11  * Written (W) 2011 Shashwat Lal Das
12  * Adaptation of Vowpal Wabbit v5.1.
13  * Copyright (C) 2011 Berlin Institute of Technology and Max-Planck-Society.
14  */
15 
16 #ifndef _VOWPALWABBIT_H__
17 #define _VOWPALWABBIT_H__
18 
23 
26 
27 namespace shogun
28 {
39 {
40 public:
41 
44 
48  CVowpalWabbit();
49 
57 
62 
67 
72  void reinitialize_weights();
73 
82  void set_no_training(bool dont_train) { no_training = dont_train; }
83 
89  void set_adaptive(bool adaptive_learning);
90 
97  void set_exact_adaptive_norm(bool exact_adaptive);
98 
104  void set_num_passes(int32_t passes)
105  {
106  env->num_passes = passes;
107  }
108 
114  void load_regressor(char* file_name);
115 
122  void set_regressor_out(char* file_name, bool is_text = true);
123 
129  void set_prediction_out(char* file_name);
130 
137  void add_quadratic_pair(char* pair);
138 
144  virtual bool train_machine(CFeatures* feat = NULL);
145 
154 
164 
177  float32_t compute_exact_norm_quad(float32_t* weights, VwFeature& page_feature, v_array<VwFeature> &offer_features,
178  vw_size_t mask, float32_t g, float32_t& sum_abs_x);
179 
186  {
187  SG_REF(env);
188  return env;
189  }
190 
196  virtual const char* get_name() const { return "VowpalWabbit"; }
197 
202  virtual void set_learner();
203 
208 
209 private:
215  virtual void init(CStreamingVwFeatures* feat = NULL);
216 
224  virtual float32_t inline_l1_predict(VwExample* &ex);
225 
233  virtual float32_t inline_predict(VwExample* &ex);
234 
242  virtual float32_t finalize_prediction(float32_t ret);
243 
249  virtual void output_example(VwExample* &ex);
250 
256  virtual void print_update(VwExample* &ex);
257 
266  virtual void output_prediction(int32_t f, float32_t res, float32_t weight, v_array<char> tag);
267 
273  void set_verbose(bool verbose);
274 
275 protected:
278 
281 
284 
287 
288 private:
290  bool quiet;
291 
293  bool no_training;
294 
296  float32_t dump_interval;
298  float32_t sum_loss_since_last_dump;
300  float64_t old_weighted_examples;
301 
303  char* reg_name;
305  bool reg_dump_text;
306 
308  bool save_predictions;
310  int32_t prediction_fd;
311 };
312 
313 }
314 #endif // _VOWPALWABBIT_H__

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