VMat.cc

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// -*- C++ -*-

// PLearn (A C++ Machine Learning Library)
// Copyright (C) 1998 Pascal Vincent
// Copyright (C) 1999-2002 Pascal Vincent, Yoshua Bengio and University of Montreal
//

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/* *******************************************************
* $Id: VMat.cc,v 1.18 2004/07/21 16:30:55 chrish42 Exp $ *
* This file is part of the PLearn library.               *
******************************************************** */
#include "VMat.h"
#include <plearn/io/fileutils.h>

#include "MemoryVMatrix.h"
#include "FileVMatrix.h"
#include "SelectRowsVMatrix.h"
#include "SelectColumnsVMatrix.h"
#include "SelectRowsFileIndexVMatrix.h"

namespace PLearn {
using namespace std;

VMat::VMat() {}
VMat::VMat(VMatrix* d): PP<VMatrix>(d) {}
VMat::VMat(const VMat& d) :PP<VMatrix>(d) {}
VMat::VMat(const Mat& datamat): PP<VMatrix>(new MemoryVMatrix(datamat)) {}
VMat::~VMat() {}

VMat VMat::subMatRows(int i, int l) const
{
  VMat res = ptr->subMat(i,0,l,width());
  res->defineSizes(ptr->inputsize(), ptr->targetsize(), ptr->weightsize());
  return res;
}

VMat VMat::rows(TVec<int> rows_indices) const
{ return new SelectRowsVMatrix(*this, rows_indices); }

VMat VMat::rows(Vec rows_indices) const
{ return new SelectRowsVMatrix(*this, rows_indices); }

VMat VMat::rows(const string& indexfile) const
{ return new SelectRowsFileIndexVMatrix(*this, indexfile); }

VMat VMat::columns(TVec<int> columns_indices) const
{ return new SelectColumnsVMatrix(*this, columns_indices); }

VMat VMat::columns(Vec columns_indices) const
{ return new SelectColumnsVMatrix(*this, columns_indices); }

// precompute //
void VMat::precompute() {
  VMat backup = *this;
  *this = new MemoryVMatrix(Mat(*this));
  (*this)->setFieldInfos( backup->getFieldInfos() );

  // We restore the sizes info (lost in the Mat conversion).
  // Note that there would probably be more info to restore (like
  // field infos, string mappings, ...).
  (*this)->copySizesFrom(backup);
  
  //TODO
  //(*this)->copyFieldInfosFrom(backup);
}
  
void VMat::precompute(const string& pmatfile, bool use_existing_file)
{ 
  VMat backup = *this;
  Array<VMField> infos = (*this)->getFieldInfos();
  if(!use_existing_file || !file_exists(pmatfile))
    save(pmatfile); 
  *this = new FileVMatrix(pmatfile); 
  (*this)->setFieldInfos( infos );
  (*this)->copySizesFrom(backup);
  // TODO same as above
}


template <>
void deepCopyField(VMat& field, CopiesMap& copies)
{
  if (field)
    field = static_cast<VMatrix*>(field->deepCopy(copies));
}

// loadAsciiAsVMat //
VMat loadAsciiAsVMat(const string& filename)
{
  Mat m;
  TVec<string> fn;
  TVec< map<string,real> > map_sr;  // String -> real mappings.
  loadAscii(filename, m, fn, &map_sr);
  VMat vm = new MemoryVMatrix(m);
  vm->setMtime(mtime(filename));
  // Set the discovered string -> real mappings.
  for (int i = 0; i < map_sr.length(); i++) {
    vm->setStringMapping(i, map_sr[i]);
  }
  for(int i=0;i<fn.size();i++)
    vm->declareField(i, fn[i]);
  return vm;
}

} // end of namespace PLearn

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