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📄 feature_index.h

📁 Conditional Random Fields的训练识别工具
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/*  CRF++ -- Yet Another CRF toolkit  $Id: feature_index.h 1530 2006-08-18 09:11:23Z taku $;  Copyright(C) 2005 Taku Kudo <taku@chasen.org>  This is free software with ABSOLUTELY NO WARRANTY.  This library is free software; you can redistribute it and/or  modify it under the terms of the GNU Lesser General Public  License as published by the Free Software Foundation; either  version 2.1 of the License, or(at your option) any later version.  This library is distributed in the hope that it will be useful,  but WITHOUT ANY WARRANTY; without even the implied warranty of  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU  Lesser General Public License for more details.  You should have received a copy of the GNU Lesser General Public  License along with this library; if not, write to the Free Software  Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307  USA*/#ifndef _CRFPP_FEATURE_INDEX_H#define _CRFPP_FEATURE_INDEX_H#include <vector>#include <map>#include <iostream>#include "common.h"#include "scoped_ptr.h"#include "feature_cache.h"#include "path.h"#include "node.h"#include "freelist.h"#include "mmap.h"#include "darts.h"namespace CRFPP {  class TaggerImpl;  class FeatureIndex {  protected:    unsigned int maxid_;    double *alpha_;    float  *alpha_float_;    double cost_factor_;    unsigned int xsize_;    unsigned int max_xsize_;    size_t thread_num_;    FeatureCache       feature_cache_;    std::vector<char*> unigram_templs_;    std::vector<char*> bigram_templs_;    std::vector<char*>        y_;    FreeList<char>  char_freelist_;    scoped_array< FreeList<Path> > path_freelist_;    scoped_array< FreeList<Node> > node_freelist_;    virtual int getID(const char *) = 0;    whatlog what_;         const char *get_index(char *&, size_t, TaggerImpl &);    bool apply_rule(string_buffer &,                    char*, size_t, TaggerImpl&);  public:    static const unsigned int version = MODEL_VERSION;    size_t size() const  { return maxid_; }    size_t xsize() const { return xsize_; }    size_t ysize() const { return y_.size(); }    const char* y(size_t i) const { return y_[i]; }    void   set_alpha(double *alpha) { alpha_ = alpha; }    const float *alpha_float() { return const_cast<float *>(alpha_float_); }    const double *alpha() { return const_cast<double *>(alpha_); }    void set_cost_factor(double cost_factor) { cost_factor_ = cost_factor; }    double cost_factor() { return cost_factor_; }    char *strdup(const char *);    void calcCost(Node *);    void calcCost(Path *);    bool buildFeatures(TaggerImpl &);    void rebuildFeatures(TaggerImpl &);    const char* what() { return what_.str(); }    virtual bool open(const char*, const char*) = 0;    virtual void clear() = 0;    void init() {      path_freelist_.reset(new FreeList<Path> [thread_num_]);      node_freelist_.reset(new FreeList<Node> [thread_num_]);      for (size_t i = 0; i < thread_num_; ++i) {        path_freelist_[i].set_size(8192 * 16);        node_freelist_[i].set_size(8192);      }    }    explicit FeatureIndex(): maxid_(0), alpha_(0), alpha_float_(0),      cost_factor_(1.0), xsize_(0), max_xsize_(0),      thread_num_(1), char_freelist_(8192) {}    virtual ~FeatureIndex() {};  };  class EncoderFeatureIndex: public FeatureIndex {  private:    std::map <std::string, std::pair<int, unsigned int> > dic_;    int getID(const char *);    bool openTemplate(const char *);    bool openTagSet(const char *);  public:    explicit EncoderFeatureIndex(size_t n) { thread_num_ = n; init(); }    bool open(const char*, const char*);    bool save(const char *, bool);    bool convert(const char *, const char*);    void clear();    void shrink(size_t) ;  };  class DecoderFeatureIndex: public FeatureIndex {  private:    Mmap <char> mmap_;    Darts::DoubleArray da_;    int getID(const char *);  public:    explicit DecoderFeatureIndex() { init(); }    bool open(const char *, const char *);    void clear();  };}#endif

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