示例#1
0
void save_current_iteration(List& trace_x, List& trace_pi, List& trace_A, List& trace_B, List& log_posterior, List& trace_switching_prob,
                            arma::ivec x, NumericVector pi, NumericMatrix A, NumericMatrix B, double& loglik, NumericVector switching_prob,
                            int index){
  IntegerVector xx(x.begin(), x.end());
  trace_x[index] = clone(xx);
  trace_pi[index] = clone(pi);
  trace_A[index] = clone(A);
  trace_B[index] = clone(B);
  log_posterior[index] = clone(wrap(loglik));
  trace_switching_prob[index] = clone(switching_prob);
}
示例#2
0
arma::mat exact_trans2(arma::cube joint_means_trans, Rcpp::List eigen_decomp, double time_int, arma::ivec absorb_states, int start_state, int end_state, int exact_time_index){
	arma::mat rate_matrix=Rcpp::as<arma::mat>(eigen_decomp["rate"]);
	arma::mat out=arma::zeros<arma::mat>(rate_matrix.n_rows,rate_matrix.n_rows);
	
	arma::mat temp=arma::zeros<arma::mat>(rate_matrix.n_rows,rate_matrix.n_rows);
	
	int i=start_state-1;
	int j=end_state-1;
	int k=0;  
	
	bool i_in_A=0;
	bool j_in_A=0;
	
	//std::cout<<absorb_states;
	
	while(i_in_A==0 && k<absorb_states.size()){
		int test=absorb_states[k]-1;
		if(test==i){
			i_in_A=1;
		}
		k++;
	}
	
	k=0;
	while(j_in_A==0 && k<absorb_states.size()){
		int test=absorb_states[k]-1;
		if(test==j){
			j_in_A=1;
		}
		k++;
	}
	
	int in_either=i_in_A+j_in_A;

	
	if(in_either==0){
		for(int l=0;l<absorb_states.size();l++){
			int absorb_state=absorb_states[l]-1;
			temp.col(absorb_state)=rate_matrix.col(absorb_state);
		}
		out=joint_means_trans.slice(exact_time_index)*temp;
	}
	if(i_in_A==0 && j_in_A==1){
		arma::mat prob_mat=mat_exp_eigen_cpp(eigen_decomp,time_int);
		out.col(j)=prob_mat.col(i)*rate_matrix(i,j);
	}
	
	
	return(out);
}	
示例#3
0
arma::mat joint_dur_dur_exact_time(int i,int j, double interval_len, arma::ivec absorb_states,Rcpp::List eigen_decomp){
	arma::cx_mat Q=Rcpp::as<arma::cx_mat>(eigen_decomp["rate"]);
	double t=interval_len;
	arma::mat joint_dur=joint_duration_2moment(i, j,eigen_decomp,t);
	arma::cx_mat temp=arma::zeros<arma::cx_mat>(Q.n_rows,Q.n_rows);
	
	bool i_in_A=0;
	bool j_in_A=0;
	int k=0;	
	//std::cout<<absorb_states;
	
	while(i_in_A==0 && k<absorb_states.size()){
		int test=absorb_states[k];
		if(test==i){
			i_in_A=1;
		}
		k++;
	}
	
	k=0;
	while(j_in_A==0 && k<absorb_states.size()){
		int test=absorb_states[k];
		if(test==j){
			j_in_A=1;
		}
		k++;
	}
	
	int in_either=i_in_A+j_in_A;
	
	if(i_in_A+j_in_A==0){
		
		for(int l=0;l<absorb_states.size();l++){
			int absorb_state=absorb_states[l];
			temp.col(absorb_state)=Q.col(absorb_state);
		}
		
		temp=joint_dur*temp;
		
		
	}else{
		temp=arma::zeros<arma::cx_mat>(Q.n_rows,Q.n_rows);
	}
	arma::mat out=arma::real(temp);   
	return(out);
	
}
示例#4
0
// [[Rcpp::export]]
arma::mat sgd(arma::mat& coords,
              arma::ivec& targets_i, // vary randomly
              arma::ivec& sources_j, // ordered
              arma::ivec& ps, // N+1 length vector of indices to start of each row j in vector is
              arma::vec& weights, // w{ij}
              const double& gamma,
              const double& rho,
              const arma::uword& n_samples,
              const int& M,
              const double& alpha,
              const Rcpp::Nullable<Rcpp::NumericVector> momentum,
              const bool& useDegree,
              const Rcpp::Nullable<Rcpp::NumericVector> seed,
              const Rcpp::Nullable<Rcpp::NumericVector> threads,
              const bool verbose) {
#ifdef _OPENMP
	checkCRAN(threads);
#endif
	const dimidxtype D = coords.n_rows;
	const vertexidxtype N = coords.n_cols;
	const edgeidxtype E = targets_i.n_elem;

	Visualizer* v;
	if (momentum.isNull()) v = new Visualizer(
			sources_j.memptr(), targets_i.memptr(), coords.memptr(),
     	D, N, E,
     	rho, n_samples,
     	M, alpha, gamma);
	else {
		float moment = NumericVector(momentum)[0];
		if (moment < 0) throw Rcpp::exception("Momentum cannot be negative.");
		if (moment > 0.95) throw Rcpp::exception("Bad things happen when momentum is > 0.95.");
		v = new MomentumVisualizer(
			 sources_j.memptr(), targets_i.memptr(), coords.memptr(),
	     D, N, E,
	     rho, n_samples, moment,
	     M, alpha, gamma);
	}

	distancetype* negweights = new distancetype[N];
	std::fill(negweights, negweights + N, 0);
	if (useDegree) {
		std::for_each(targets_i.begin(), targets_i.end(), [&negweights](const sword& e) {negweights[e]++;});
	} else {
		for (vertexidxtype p = 0; p < N; ++p) {
			for (edgeidxtype e = ps[p]; e != ps[p + 1]; ++e) {
				negweights[p] += weights[e];
			}
		}
	}
	std::for_each(negweights, negweights + N, [](distancetype& weight) {weight = pow(weight, 0.75);});
	v -> initAlias(weights.memptr(), negweights, seed);
	delete[] negweights;

	const uword batchSize = BATCHSIZE;
#ifdef _OPENMP
	const unsigned int ts = omp_get_max_threads();
#else
	const unsigned int ts = 2;
#endif
	Progress progress(max((uword) ts, n_samples / BATCHSIZE), verbose);
#ifdef _OPENMP
#pragma omp parallel for
#endif
	for (unsigned int t = 0; t < ts; ++t) {
		v->thread(progress, batchSize);
	}
	delete v;
	return coords;
}
示例#5
0
Rcpp::NumericMatrix rcpp_segIBDandN(std::string pathThisBreed, std::string pathNative, int NFileC, int NFileN, const arma::ivec& ArmaIndexC, const arma::ivec& ArmaIndexN, int NC, int minSNP, double minL, const arma::vec& ArmaPos, const arma::vec& Armakb, double a, std::string stdsymB, int skip, int cskip) {
  /* ***** initialize variables ****** */
  int m, i, j, r, r2, rK, endoffile, gleich;
  double L;
  char str1[100];
  FILE *fC, *fN;
  char symB = stdsymB.at(0);
  Rcpp::NumericMatrix confROH(NC, NC);
  int K  = (minSNP<=60)?(minSNP/2):(30);
  int M  = Armakb.n_elem - 1;
  
  size_t bufsize = 2*(NFileC+NFileN);  
  char* Line = (char*)malloc(bufsize*sizeof(char));
  if(Line == NULL){error_return("Memory allocation failed.");};
  
  int** Nat         = (int**)calloc(M,sizeof(int*));                   /*  M xNC - matrix */
  double** fROH     = (double**)calloc(NC,sizeof(double*));            /*  NCxNC - matrix */
  int** thisROH     = (int**)calloc(NC,sizeof(int*));                  /*  NCxNC - matrix */
  double** lSEG     = (double**)calloc(NC,sizeof(double*));            /*  NCxNC - matrix */
  int* currAllelesC = (int*)calloc(NC,sizeof(int));                    /*     NC - vector */
  int* prevAllelesC = (int*)calloc(NC,sizeof(int));                    /*     NC - vector */
  int* indexC       = (int*)calloc(NC,sizeof(int));                    /*     NC - vector */
  int* indexN       = (int*)calloc(NC,sizeof(int));                    /*     NC - vector */
  double* Pos       = (double*)calloc(ArmaPos.n_elem, sizeof(double)); /*    M+1 - vector */
  double* kb        = (double*)calloc(Armakb.n_elem, sizeof(double));  /*    M+1 - vector */
  if(fROH        == NULL){error_return("Memory allocation failed.");};
  if(Nat         == NULL){error_return("Memory allocation failed.");};
  if(thisROH     == NULL){error_return("Memory allocation failed.");};
  if(lSEG        == NULL){error_return("Memory allocation failed.");};
  if(currAllelesC== NULL){error_return("Memory allocation failed.");};
  if(prevAllelesC== NULL){error_return("Memory allocation failed.");};
  if(indexC      == NULL){error_return("Memory allocation failed.");};
  if(indexN      == NULL){error_return("Memory allocation failed.");};
  if(Pos         == NULL){error_return("Memory allocation failed.");};
  if(kb          == NULL){error_return("Memory allocation failed.");};
  
  for(m=0;m<M+1;m++){
    Pos[m] = ArmaPos.at(m);
    kb[m]  = Armakb.at(m);
  }
  
  for(i=0; i<NC;i++){
    indexC[i] = ArmaIndexC.at(i);
    indexN[i] = ArmaIndexN.at(i);
    fROH[i]   = (double*)calloc(i+1,sizeof(double));
    thisROH[i]= (int*)calloc(i+1,sizeof(int));
    lSEG[i]   = (double*)calloc(i+1,sizeof(double));
    if(fROH[i]   == NULL){error_return("Memory allocation failed.");};
    if(thisROH[i]== NULL){error_return("Memory allocation failed.");};
    if(lSEG[i]   == NULL){error_return("Memory allocation failed.");};
  }
  
  /* ******* Main part ******** */
  fC = fopen(pathThisBreed.c_str(),"r");
  fN = fopen(pathNative.c_str(),"r");
  if(fC == NULL){error_return("File opening failed.");};
  if(fN == NULL){error_return("File opening failed.");};
  while(fgetc(fN)!='\n'){}
  for(i=0;i<skip+1;i++){
    while(fgetc(fC)!='\n'){}
  }
  endoffile=0;
  m=0;
  while(!endoffile){
    /* *** Determine previous alleles and current alleles (K at a time) *** */
    /* ***           and native alleles for candidates                  *** */
    for(i=0; i<NC;i++){
      prevAllelesC[i] = currAllelesC[i];
      currAllelesC[i] = 0;
    }
    rK=0;
    while(rK<K){
      for(i=0; i<cskip; i++){
        endoffile = fscanf(fC, "%s ", str1)<1;
        if(endoffile){break;}
      }
      if(endoffile){break;}
      endoffile = fscanf(fN, "%s ", str1)<1;
      if(endoffile){break;}
      endoffile = fgets(Line,2*NFileC,fC)==NULL;
      if(endoffile){break;}
      for(i=0; i<NC;i++){
        if(Line[2*indexC[i]]==symB){currAllelesC[i]= currAllelesC[i] | (1u<<rK);}
      }
      endoffile = fgets(Line, 2*NFileN, fN)==NULL;
      if(endoffile){break;}
      Nat[m+rK] = (int*)calloc(NC,sizeof(int));
      for(i=0; i<NC;i++){
        Nat[m+rK][i] = ((Line[2*indexN[i]]=='1')?1:0);
      }
      rK++;
    }
    if(endoffile){Rprintf("M=%d\n",m+rK);}
    if(rK==0){break;}
    
    for(i=0; i<NC;i++){
      for(j=0; j<i+1; j++){
        if(currAllelesC[i]==currAllelesC[j]){
          if(prevAllelesC[i]==prevAllelesC[j] && m>0){ /* ROH verlängern */
            thisROH[i][j] += rK;
            for(r2=0;r2<rK;r2++){if(Nat[m+r2][i]*Nat[m+r2][j]>0){lSEG[i][j] += kb[m+r2+1]-kb[m+r2];}} /* !!!!! */
          }else{  /* neuer ROH */
            thisROH[i][j] = rK;
            for(r2=0;r2<rK;r2++){if(Nat[m+r2][i]*Nat[m+r2][j]>0){lSEG[i][j] += kb[m+r2+1]-kb[m+r2];}} /* !!!!! */
            if(m>0){
              gleich = ~(prevAllelesC[i] ^ prevAllelesC[j]);
              r = K-1;
              while(r>=0 && ((gleich>>r)&1u)){
                thisROH[i][j] += 1;
                if(Nat[m-K+r][i]*Nat[m-K+r][j]>0){lSEG[i][j] += kb[m-K+r+1]-kb[m-K+r];} /* !!!!! */
                r--;
              }
            }
          }
        }else{
          if(prevAllelesC[i]==prevAllelesC[j] && m>0){ /* ROH beenden */
            gleich = ~(currAllelesC[i] ^ currAllelesC[j]);
            r = 0;
            while(r<K && ((gleich>>r)&1u)){
              thisROH[i][j] += 1;
              if(Nat[m+r][i]*Nat[m+r][j]>0){lSEG[i][j] += kb[m+r+1]-kb[m+r];} /* !!!!! */
              r++;
            }
            
            if(thisROH[i][j]>=minSNP){
              L = Pos[m+r]-Pos[m+r-thisROH[i][j]];
              if(L>=minL){
                fROH[i][j] += (L*L/(a+L*L))*lSEG[i][j];
                }
              }
            thisROH[i][j] = 0;
            lSEG[i][j] = 0.0;
          }
        }
      }
示例#6
0
Rcpp::NumericVector rcpp_segInbreeding(std::string path1, std::string path2, int NFile1, int NFile2, const arma::ivec& ArmaIndex1, const arma::ivec& ArmaIndex2, int N1, int N2, int M, int minSNP, double minL, const arma::vec& ArmacM, const arma::vec& Armakb, double a, std::string stdsymB, int skip, int cskip) {
  int m, i, i0, j, rK, r, endoffile, gleich;
  double L;
  char str1[100];
  char symB = stdsymB.at(0);
  FILE *f1, *f2;
  int N  = N1 + N2;
  int K  = (minSNP<=60)?(minSNP/2):(30);
  Rcpp::NumericVector ArmasegInbr(N/2);
  
  size_t bufsize = 2*(NFile1+NFile2);  
  char* Line = (char*)malloc(bufsize*sizeof(char));
  if(Line == NULL){error_return("Memory allocation failed.");};
  
  
  double* fROH   = (double*)calloc(N/2,sizeof(double));
  int* thisROH   = (int*)calloc(N/2,sizeof(int));
  int* thisAllel = (int*)calloc(N,sizeof(int));
  int* prevAllel = (int*)calloc(N,sizeof(int));
  double* cM     = (double*)calloc(M+1,sizeof(double));
  double* kb     = (double*)calloc(M+1,sizeof(double));
  int* index1    = (int*)calloc(N1,sizeof(int));          /*     N1 - vector */
  int* index2    = (int*)calloc(N2,sizeof(int));          /*     N2 - vector */
  if(fROH      == NULL){error_return("Memory allocation failed.");};
  if(thisROH   == NULL){error_return("Memory allocation failed.");};
  if(thisAllel == NULL){error_return("Memory allocation failed.");};
  if(prevAllel == NULL){error_return("Memory allocation failed.");};
  if(cM        == NULL){error_return("Memory allocation failed.");};
  if(kb        == NULL){error_return("Memory allocation failed.");};
  if(index1    == NULL){error_return("Memory allocation failed.");};
  if(index2    == NULL){error_return("Memory allocation failed.");};
  
  for(i=0;i<N1;i++){index1[i]=ArmaIndex1.at(i);}
  for(i=0;i<N2;i++){index2[i]=ArmaIndex2.at(i);}
  
  for(m=0;m<M+1;m++){
    cM[m]=ArmacM.at(m);
    kb[m]=Armakb.at(m);
  }
  
  f1 = fopen(path1.c_str(),"r");
  if(f1 == NULL){error_return("File opening failed.");};
  for(i=0;i<skip+1;i++){
    while(fgetc(f1)!='\n'){}
  }
  
  if(N2>0){
    f2 = fopen(path2.c_str(),"r");
    if(f2 == NULL){error_return("File opening failed.");};
    for(i=0;i<skip+1;i++){
      while(fgetc(f2)!='\n'){}
    }
  }else{f2 = f1; /* avoid warnings */}
  
  endoffile=0;
  m=0;
  while(!endoffile){
    for(i=0; i<N;i++){
      prevAllel[i] = thisAllel[i];
      thisAllel[i] = 0;
      }
    rK=0;
    while(rK<K){
      for(i=0; i<cskip; i++){
        endoffile = fscanf(f1, "%s ", str1)<1;
        if(endoffile){break;}
      }
      if(endoffile){break;}
      endoffile = fgets(Line, 2*NFile1, f1)==NULL;
      if(endoffile){break;}
      for(i=0; i<N1;i++){
        if(Line[2*index1[i]]==symB){thisAllel[i]= thisAllel[i] | (1u<<rK);}
      }
      rK++;
    }
    if(N2>0){
      rK=0;
      while(rK<K){
        for(i=0; i<cskip; i++){
          endoffile = fscanf(f2, "%s ", str1)<1;
          if(endoffile){break;}
        }
        if(endoffile){break;}
        endoffile = fgets(Line,2*NFile2,f2)==NULL;
        if(endoffile){break;}
        for(i=0; i<N2;i++){
          if(Line[2*index2[i]]==symB){thisAllel[i+N1]= thisAllel[i+N1] | (1u<<rK);}
        }
        rK++;
      }
    }
    if(endoffile){Rprintf("M=%d\n",m+rK);}
    if(rK==0){break;}
    
    for(i0=0; i0<N/2;i0++){
      i = 2*i0;
      j = 2*i0+1;
      if(thisAllel[i]==thisAllel[j]){
          if(prevAllel[i]==prevAllel[j] && m>0){ /* ROH verlängern */
            thisROH[i0] += rK;
          }else{  /* neuer ROH */
            thisROH[i0] = rK;
            if(m>0){
              gleich = ~(prevAllel[i] ^ prevAllel[j]);
              r = K-1;
              while(r>=0 && ((gleich>>r)&1u)){
                thisROH[i0] += 1;
                r--;
              }
            }
          }
        }else{
          if(prevAllel[i]==prevAllel[j] && m>0){ /* ROH beenden */
            gleich = ~(thisAllel[i] ^ thisAllel[j]);
            r = 0;
            while(r<rK && ((gleich>>r)&1u)){
              thisROH[i0] += 1;
              r++;
            }
            
            if(thisROH[i0]>=minSNP){
              L = cM[m+r]-cM[m+r-thisROH[i0]];
              if(L>=minL){fROH[i0] += (L*L/(a+L*L))*(kb[m+r]-kb[m+r-thisROH[i0]]);}
              }
            thisROH[i0] = 0;
          }
        }
示例#7
0
Rcpp::NumericMatrix rcpp_segIBDandNVersion2(std::string pathThisBreed, int NFileC, int NC, const arma::ivec& ArmaIndexC, const arma::mat& ArmaNat, int minSNP, double minL, const arma::vec& ArmaPos, const arma::vec& Armakb, double a, std::string stdsymB, int skip, int cskip) {
  int m, m2, i, j, r, rK, endoffile, gleich;
  double L, w, lSEG ;
  char str1[100];
  char symB = stdsymB.at(0);
  FILE *fC;
  Rcpp::NumericMatrix confROH(NC, NC);
  int K  = (minSNP<=60)?(minSNP/2):(30);
  int M  = Armakb.n_elem - 1;
  
  size_t bufsize = 2*NFileC;  
  char* Line = (char*)malloc(bufsize*sizeof(char));
  if(Line == NULL){error_return("Memory allocation failed.");};
  
  int** Nat         = (int**)calloc(NC,sizeof(int*));
  double** fROH     = (double**)calloc(NC,sizeof(double*));
  int** thisROH     = (int**)calloc(NC,sizeof(int*));
  int* currAllelesC = (int*)calloc(NC,sizeof(int));
  int* prevAllelesC = (int*)calloc(NC,sizeof(int));
  int* indexC       = (int*)calloc(NC,sizeof(int));
  double* Pos       = (double*)calloc(ArmaPos.n_elem, sizeof(double));
  double* kb        = (double*)calloc(Armakb.n_elem, sizeof(double));
  
  if(Nat          == NULL){error_return("Memory allocation failed.");};
  if(fROH         == NULL){error_return("Memory allocation failed.");};
  if(thisROH      == NULL){error_return("Memory allocation failed.");};
  if(currAllelesC == NULL){error_return("Memory allocation failed.");};
  if(prevAllelesC == NULL){error_return("Memory allocation failed.");};
  if(indexC       == NULL){error_return("Memory allocation failed.");};
  if(Pos          == NULL){error_return("Memory allocation failed.");};
  if(kb           == NULL){error_return("Memory allocation failed.");};
  
  for(m=0;m<M+1;m++){
    Pos[m] = ArmaPos.at(m);
    kb[m]  = Armakb.at(m);
  }
  
  for(i=0; i<NC;i++){
    indexC[i] = ArmaIndexC.at(i);
    fROH[i]   = (double*)calloc(i+1, sizeof(double));
    thisROH[i]=    (int*)calloc(i+1, sizeof(int));
    Nat[i]    =    (int*)calloc(M,   sizeof(int));
    if(fROH[i]    == NULL){error_return("Memory allocation failed.");};
    if(thisROH[i] == NULL){error_return("Memory allocation failed.");};
    if(Nat[i]     == NULL){error_return("Memory allocation failed.");};
    for(m=0; m<M;m++){
      Nat[i][m] = ArmaNat.at(m,i);
    }
  }
  
  
  fC = fopen(pathThisBreed.c_str(),"r");
  if(fC == NULL){error_return("File opening failed.");}; 
  for(i=0;i<skip+1;i++){
    while(fgetc(fC)!='\n'){}
  }
  
  endoffile=0;
  m=0;
  while(!endoffile){
    for(i=0; i<NC;i++){
      prevAllelesC[i] = currAllelesC[i];
      currAllelesC[i] = 0;
    }
    rK=0;
    while(rK<K){
      for(i=0; i<cskip; i++){
        endoffile = fscanf(fC, "%s ", str1)<1;
        if(endoffile){break;}
      }
      if(endoffile){break;}
      endoffile = fgets(Line,2*NFileC,fC)==NULL;
      if(endoffile){break;}
      for(i=0; i<NC;i++){
        if(Line[2*indexC[i]]==symB){currAllelesC[i]= currAllelesC[i] | (1u<<rK);}
      }
      rK++;
    }
    if(endoffile){Rprintf("M=%d\n",m+rK);}
    if(rK==0){break;}

    for(i=0; i<NC;i++){
      for(j=0; j<i+1; j++){
        if(currAllelesC[i]==currAllelesC[j]){
          if(prevAllelesC[i]==prevAllelesC[j] && m>0){ /* ROH verlängern */
            thisROH[i][j] += rK;
          }else{  /* neuer ROH */
            thisROH[i][j] = rK;
            if(m>0){
              gleich = ~(prevAllelesC[i] ^ prevAllelesC[j]);
              r = K-1;
              while(r>=0 && ((gleich>>r)&1u)){
                thisROH[i][j] += 1;
                r--;
              }
            }
          }
        }else{
          if(prevAllelesC[i]==prevAllelesC[j] && m>0){ /* ROH beenden */
            gleich = ~(currAllelesC[i] ^ currAllelesC[j]);
            r = 0;
            while(r<K && ((gleich>>r)&1u)){
              thisROH[i][j] += 1;
              r++;
            }
            
            if(thisROH[i][j]>=minSNP){
              L = Pos[m+r]-Pos[m+r-thisROH[i][j]];
              if(L>=minL){
                w = L*L/(a+L*L);
                lSEG = 0.0;
                for(m2=m+r-thisROH[i][j];m2<m+r;m2++){
                  if(Nat[i][m2]*Nat[j][m2]>0){lSEG += kb[m2+1]-kb[m2];}
                }
                fROH[i][j] += w*lSEG;
                }
              }
            thisROH[i][j] = 0;
          }
        }
      }
示例#8
0
void SampleGradHistogram(double *pt, double radius, typename TImage::Pointer image, arma::ivec& samples)
{
    typedef TImage ImageType;

    int radius_pix[3]; //radius in voxels, to be calculated


    radius_pix[0] = std::ceil(radius / image->GetSpacing()[0]);
    radius_pix[1] = std::ceil(radius / image->GetSpacing()[1]);
    radius_pix[2] = std::ceil(radius / image->GetSpacing()[2]);
    
#ifdef DEBUG_MESSAGES_HOG
    std::cout << "Requested point: " << pt[0] << ", " << pt[1] << ", " << pt[2] << std::endl;
    std::cout << "Neighborhood size in mm: " << radius << std::endl;
    std::cout << "Neighborhood size in pix: " << radius_pix[0] << ", " << radius_pix[1] << ", " << radius_pix[2] << std::endl;
#endif
    
    if (radius_pix[0] == 0 || radius_pix[1] == 0 || radius_pix[2] == 0) {
        std::cout << "One of the neighborhood dimensions is zero. Please correct the radius. Aborting." << std::endl;
        return;
    }


    //transform the point from physical s1pace
    typename ImageType::PointType point;
    point[0] = pt[0];
    point[1] = pt[1];
    point[2] = pt[2];

    typename ImageType::IndexType pt_pix;
    image->TransformPhysicalPointToIndex(point, pt_pix);


    //define the region around the point of interest
    typename ImageType::IndexType rgn_idx = {
        {pt_pix[0] - radius_pix[0], pt_pix[1] - radius_pix[1], pt_pix[2] - radius_pix[2]}};
    typename ImageType::SizeType rgn_size = {
        {2 * radius_pix[0] + 1, 2 * radius_pix[1] + 1, 2 * radius_pix[2] + 1}};

    //crop the region so that it is inside
    rgn_idx[0] = std::max(rgn_idx[0], image->GetLargestPossibleRegion().GetIndex(0));
    rgn_idx[1] = std::max(rgn_idx[1], image->GetLargestPossibleRegion().GetIndex(1));
    rgn_idx[2] = std::max(rgn_idx[2], image->GetLargestPossibleRegion().GetIndex(2));

    //set it first as a corner for comparison and then undo that operation
    rgn_size[0] = std::min(rgn_size[0]+rgn_idx[0], image->GetLargestPossibleRegion().GetSize(0))-rgn_idx[0];
    rgn_size[1] = std::min(rgn_size[1]+rgn_idx[1], image->GetLargestPossibleRegion().GetSize(1))-rgn_idx[1];
    rgn_size[2] = std::min(rgn_size[2]+rgn_idx[2], image->GetLargestPossibleRegion().GetSize(2))-rgn_idx[2];

    typename ImageType::RegionType window(rgn_idx, rgn_size);

#ifdef DEBUG_MESSAGES_HOG
    std::cout << "Region: " << window << std::endl;
#endif

    samples.set_size(rgn_size[0]*rgn_size[1]*rgn_size[2]);
    samples.zeros();
    
//    itk::ImageRegionConstIterator<typename GradientFilterType::OutputImageType> imageIterator(gradient_filter->GetOutput(), window);
    itk::ImageRegionConstIterator<ImageType> imageIterator(image, window);
    imageIterator.GoToBegin();
    
    int i=0;
    while (!imageIterator.IsAtEnd()) {
        // Get the value of the current pixel
        typename ImageType::PixelType val = imageIterator.Get();
    
        //std::cout << val << std::endl;
            
        samples[i++] = val;
        
        ++imageIterator;
    }

    
       
}
示例#9
0
List objectivex(const arma::mat& transition, NumericVector emissionArray,
                const arma::vec& init, IntegerVector obsArray, const arma::imat& ANZ,
                IntegerVector emissNZ, const arma::ivec& INZ, const arma::ivec& nSymbols,
                const arma::mat& coef, const arma::mat& X, arma::ivec& numberOfStates,
                int threads) {


  IntegerVector eDims = emissionArray.attr("dim"); //m,p,r
  IntegerVector oDims = obsArray.attr("dim"); //k,n,r

  arma::cube emission(emissionArray.begin(), eDims[0], eDims[1], eDims[2], false, true);
  arma::icube obs(obsArray.begin(), oDims[0], oDims[1], oDims[2], false, true);

  arma::icube BNZ(emissNZ.begin(), emission.n_rows, emission.n_cols - 1, emission.n_slices, false, true);

  unsigned int q = coef.n_rows;
  arma::vec grad(
      arma::accu(ANZ) + arma::accu(BNZ) + arma::accu(INZ) + (numberOfStates.n_elem- 1) * q,
      arma::fill::zeros);
  arma::mat weights = exp(X * coef).t();
  if (!weights.is_finite()) {
    grad.fill(-arma::math::inf());
    return List::create(Named("objective") = arma::math::inf(), Named("gradient") = wrap(grad));
  }

  weights.each_row() /= sum(weights, 0);

  arma::mat initk(emission.n_rows, obs.n_slices);

  for (unsigned int k = 0; k < obs.n_slices; k++) {
    initk.col(k) = init % reparma(weights.col(k), numberOfStates);
  }

  arma::cube alpha(emission.n_rows, obs.n_cols, obs.n_slices); //m,n,k
  arma::cube beta(emission.n_rows, obs.n_cols, obs.n_slices); //m,n,k
  arma::mat scales(obs.n_cols, obs.n_slices); //m,n,k

  arma::sp_mat sp_trans(transition);
  internalForwardx(sp_trans.t(), emission, initk, obs, alpha, scales, threads);
  if (!scales.is_finite()) {
    grad.fill(-arma::math::inf());
    return List::create(Named("objective") = arma::math::inf(), Named("gradient") = wrap(grad));
  }

  internalBackwardx(sp_trans, emission, obs, beta, scales, threads);
  if (!beta.is_finite()) {
    grad.fill(-arma::math::inf());
    return List::create(Named("objective") = arma::math::inf(), Named("gradient") = wrap(grad));
  }

  arma::ivec cumsumstate = arma::cumsum(numberOfStates);

  arma::mat gradmat(
      arma::accu(ANZ) + arma::accu(BNZ) + arma::accu(INZ) + (numberOfStates.n_elem- 1) * q,
      obs.n_slices, arma::fill::zeros);

#pragma omp parallel for if(obs.n_slices >= threads) schedule(static) num_threads(threads)       \
  default(none) shared(q, alpha, beta, scales, gradmat, nSymbols, ANZ, BNZ, INZ,          \
          numberOfStates, cumsumstate, obs, init, initk, X, weights, transition, emission)
    for (int k = 0; k < obs.n_slices; k++) {
      int countgrad = 0;
      // transitionMatrix
      if (arma::accu(ANZ) > 0) {

        for (int jj = 0; jj < numberOfStates.n_elem; jj++) {
          arma::vec gradArow(numberOfStates(jj));
          arma::mat gradA(numberOfStates(jj), numberOfStates(jj));
          int ind_jj = cumsumstate(jj) - numberOfStates(jj);

          for (int i = 0; i < numberOfStates(jj); i++) {
            arma::uvec ind = arma::find(ANZ.row(ind_jj + i).subvec(ind_jj, cumsumstate(jj) - 1));

            if (ind.n_elem > 0) {
              gradArow.zeros();
              gradA.eye();
              gradA.each_row() -= transition.row(ind_jj + i).subvec(ind_jj, cumsumstate(jj) - 1);
              gradA.each_col() %= transition.row(ind_jj + i).subvec(ind_jj, cumsumstate(jj) - 1).t();


              for (int j = 0; j < numberOfStates(jj); j++) {
                for (unsigned int t = 0; t < (obs.n_cols - 1); t++) {
                  double tmp = alpha(ind_jj + i, t, k);
                  for (unsigned int r = 0; r < obs.n_rows; r++) {
                    tmp *= emission(ind_jj + j, obs(r, t + 1, k), r);
                  }
                  gradArow(j) += tmp * beta(ind_jj + j, t + 1, k) / scales(t + 1, k);
                }

              }

              gradArow = gradA * gradArow;
              gradmat.col(k).subvec(countgrad, countgrad + ind.n_elem - 1) = gradArow.rows(ind);
              countgrad += ind.n_elem;
            }
          }
        }
      }
      if (arma::accu(BNZ) > 0) {
        // emissionMatrix
        for (unsigned int r = 0; r < obs.n_rows; r++) {
          arma::vec gradBrow(nSymbols(r));
          arma::mat gradB(nSymbols(r), nSymbols(r));
          for (unsigned int i = 0; i < emission.n_rows; i++) {
            arma::uvec ind = arma::find(BNZ.slice(r).row(i));
            if (ind.n_elem > 0) {
              gradBrow.zeros();
              gradB.eye();
              gradB.each_row() -= emission.slice(r).row(i).subvec(0, nSymbols(r) - 1);
              gradB.each_col() %= emission.slice(r).row(i).subvec(0, nSymbols(r) - 1).t();
              for (int j = 0; j < nSymbols(r); j++) {
                if (obs(r, 0, k) == j) {
                  double tmp = initk(i, k);
                  for (unsigned int r2 = 0; r2 < obs.n_rows; r2++) {
                    if (r2 != r) {
                      tmp *= emission(i, obs(r2, 0, k), r2);
                    }
                  }
                  gradBrow(j) += tmp * beta(i, 0, k) / scales(0, k);
                }
                for (unsigned int t = 0; t < (obs.n_cols - 1); t++) {
                  if (obs(r, t + 1, k) == j) {
                    double tmp = beta(i, t + 1, k) / scales(t + 1, k);
                    for (unsigned int r2 = 0; r2 < obs.n_rows; r2++) {
                      if (r2 != r) {
                        tmp *= emission(i, obs(r2, t + 1, k), r2);
                      }
                    }
                    gradBrow(j) += arma::dot(alpha.slice(k).col(t), transition.col(i)) * tmp;
                  }
                }

              }
              gradBrow = gradB * gradBrow;
              gradmat.col(k).subvec(countgrad, countgrad + ind.n_elem - 1) = gradBrow.rows(ind);
              countgrad += ind.n_elem;

            }
          }
        }
      }
      if (arma::accu(INZ) > 0) {
        for (int i = 0; i < numberOfStates.n_elem; i++) {
          int ind_i = cumsumstate(i) - numberOfStates(i);
          arma::uvec ind = arma::find(
            INZ.subvec(ind_i, cumsumstate(i) - 1));
          if (ind.n_elem > 0) {
            arma::vec gradIrow(numberOfStates(i), arma::fill::zeros);
            for (int j = 0; j < numberOfStates(i); j++) {
              double tmp = weights(i, k);
              for (unsigned int r = 0; r < obs.n_rows; r++) {
                tmp *= emission(ind_i + j, obs(r, 0, k), r);
              }
              gradIrow(j) += tmp * beta(ind_i + j, 0, k) / scales(0, k);

            }
            arma::mat gradI(numberOfStates(i), numberOfStates(i), arma::fill::zeros);
            gradI.eye();
            gradI.each_row() -= init.subvec(ind_i, cumsumstate(i) - 1).t();
            gradI.each_col() %= init.subvec(ind_i, cumsumstate(i) - 1);
            gradIrow = gradI * gradIrow;
            gradmat.col(k).subvec(countgrad, countgrad + ind.n_elem - 1) = gradIrow.rows(ind);
            countgrad += ind.n_elem;
          }
        }
      }
      for (int jj = 1; jj < numberOfStates.n_elem; jj++) {
        int ind_jj = (cumsumstate(jj) - numberOfStates(jj));

        for (int j = 0; j < emission.n_rows; j++) {
          double tmp = 1.0;
          for (unsigned int r = 0; r < obs.n_rows; r++) {
            tmp *= emission(j, obs(r, 0, k), r);
          }
          if ((j >= ind_jj) & (j < cumsumstate(jj))) {
            gradmat.col(k).subvec(countgrad + q * (jj - 1), countgrad + q * jj - 1) += tmp
            * beta(j, 0, k) / scales(0, k) * initk(j, k) * X.row(k).t() * (1.0 - weights(jj, k));
          } else {
            gradmat.col(k).subvec(countgrad + q * (jj - 1), countgrad + q * jj - 1) -= tmp
            * beta(j, 0, k) / scales(0, k) * initk(j, k) * X.row(k).t() * weights(jj, k);
          }
        }

      }
    }
    return List::create(Named("objective") = -arma::accu(log(scales)),
                        Named("gradient") = wrap(-sum(gradmat, 1)));
}