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PruneVarSubMean.h
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1 /*
2  * This program is free software; you can redistribute it and/or modify
3  * it under the terms of the GNU General Public License as published by
4  * the Free Software Foundation; either version 3 of the License, or
5  * (at your option) any later version.
6  *
7  * Written (W) 1999-2008 Gunnar Raetsch
8  * Written (W) 1999-2008 Soeren Sonnenburg
9  * Copyright (C) 1999-2009 Fraunhofer Institute FIRST and Max-Planck-Society
10  */
11 
12 #ifndef _CPRUNE_VAR_SUB_MEAN__H__
13 #define _CPRUNE_VAR_SUB_MEAN__H__
14 
15 #include <shogun/lib/config.h>
16 
19 #include <shogun/lib/common.h>
20 
21 
22 namespace shogun
23 {
30 class CPruneVarSubMean : public CDensePreprocessor<float64_t>
31 {
32  public:
37  CPruneVarSubMean(bool divide=true);
38 
40  virtual ~CPruneVarSubMean();
41 
43  virtual bool init(CFeatures* features);
44 
46  virtual void cleanup();
47 
52 
56 
58  virtual const char* get_name() const { return "PruneVarSubMean"; }
59 
61  virtual EPreprocessorType get_type() const { return P_PRUNEVARSUBMEAN; }
62 
63  private:
64  void init();
65  void register_parameters();
66 
67  protected:
75  int32_t m_num_idx;
78 
81 };
82 }
83 #endif
EPreprocessorType
Definition: Preprocessor.h:32
virtual EPreprocessorType get_type() const
return a type of preprocessor
SGVector< float64_t > m_mean
virtual void cleanup()
cleanup
Preprocessor PruneVarSubMean will substract the mean and remove features that have zero variance...
virtual SGMatrix< float64_t > apply_to_feature_matrix(CFeatures *features)
Template class DensePreprocessor, base class for preprocessors (cf. CPreprocessor) that apply to CDen...
SGVector< int32_t > m_idx
virtual SGVector< float64_t > apply_to_feature_vector(SGVector< float64_t > vector)
all of classes and functions are contained in the shogun namespace
Definition: class_list.h:18
The class Features is the base class of all feature objects.
Definition: Features.h:68
bool m_initialized
true when already initialized
SGVector< float64_t > m_std
virtual bool init(CFeatures *features)
initialize preprocessor from features
virtual const char * get_name() const
CPruneVarSubMean(bool divide=true)

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