| 1 | #include "ioutils.h" |
| 2 | #include "constructionModelesLassoMLE.h" |
| 3 | #include <mex.h> |
| 4 | |
| 5 | #include <stdio.h> |
| 6 | |
| 7 | // nlhs, nrhs: resp. numbers of out and in parameters. |
| 8 | // plhs: array of out parameters, each being a mxArray |
| 9 | // plhs: array of in parameters (immutable), each being a mxArray |
| 10 | // |
| 11 | // MATLAB translates a call [A,B] = fun(C,D) into mexFunction(2,{A,B},2,{C,D}). |
| 12 | // Then mxArrayS are adapted to be passed to a regular C function, |
| 13 | // and the results are translated back to mxArrayS into plhs. |
| 14 | void mexFunction( |
| 15 | int nlhs, |
| 16 | mxArray* plhs[], |
| 17 | int nrhs, |
| 18 | const mxArray* prhs[]) |
| 19 | { |
| 20 | // Basic sanity checks |
| 21 | if (nrhs!=14) |
| 22 | mexErrMsgIdAndTxt("select:constructionModelesLassoMLE:nrhs","14 inputs required."); |
| 23 | if (nlhs!=4) |
| 24 | mexErrMsgIdAndTxt("select:constructionModelesLassoMLE:nlhs","4 outputs required."); |
| 25 | |
| 26 | // Get matrices dimensions |
| 27 | const mwSize n = mxGetDimensions(prhs[8])[0]; |
| 28 | const mwSize p = mxGetDimensions(prhs[0])[0]; |
| 29 | const mwSize m = mxGetDimensions(prhs[0])[1]; |
| 30 | const mwSize k = mxGetDimensions(prhs[0])[2]; |
| 31 | const mwSize L = mxGetNumberOfElements(prhs[7]); |
| 32 | |
| 33 | //////////// |
| 34 | // INPUTS // |
| 35 | //////////// |
| 36 | |
| 37 | // phiInit |
| 38 | const mwSize* dimPhiInit = mxGetDimensions(prhs[0]); |
| 39 | Real* brPhiInit = matlabToBrArray_real(mxGetPr(prhs[0]), dimPhiInit, 3); |
| 40 | |
| 41 | // rhoInit |
| 42 | const mwSize* dimRhoInit = mxGetDimensions(prhs[1]); |
| 43 | Real* brRhoInit = matlabToBrArray_real(mxGetPr(prhs[1]), dimRhoInit, 3); |
| 44 | |
| 45 | // piInit |
| 46 | Real* piInit = mxGetPr(prhs[2]); |
| 47 | |
| 48 | // gamInit |
| 49 | const mwSize* dimGamInit = mxGetDimensions(prhs[3]); |
| 50 | Real* brGamInit = matlabToBrArray_real(mxGetPr(prhs[3]), dimGamInit, 2); |
| 51 | |
| 52 | // min number of iterations |
| 53 | Int mini = ((Int*)mxGetData(prhs[4]))[0]; |
| 54 | |
| 55 | // max number of iterations |
| 56 | Int maxi = ((Int*)mxGetData(prhs[5]))[0]; |
| 57 | |
| 58 | // gamma |
| 59 | Real gamma = mxGetScalar(prhs[6]); |
| 60 | |
| 61 | // glambda |
| 62 | Real* glambda = mxGetPr(prhs[7]); |
| 63 | |
| 64 | // X |
| 65 | const mwSize* dimX = mxGetDimensions(prhs[8]); |
| 66 | Real* brX = matlabToBrArray_real(mxGetPr(prhs[8]), dimX, 2); |
| 67 | |
| 68 | // Y |
| 69 | const mwSize* dimY = mxGetDimensions(prhs[9]); |
| 70 | Real* brY = matlabToBrArray_real(mxGetPr(prhs[9]), dimY, 2); |
| 71 | |
| 72 | //seuil |
| 73 | Real seuil = mxGetScalar(prhs[10]); |
| 74 | |
| 75 | // tau |
| 76 | Real tau = mxGetScalar(prhs[11]); |
| 77 | |
| 78 | // A1 |
| 79 | const mwSize* dimA = mxGetDimensions(prhs[12]); |
| 80 | Int* brA1 = matlabToBrArray_int(mxGetData(prhs[12]), dimA, 3); |
| 81 | |
| 82 | // A2 |
| 83 | Int* brA2 = matlabToBrArray_int(mxGetData(prhs[13]), dimA, 3); |
| 84 | |
| 85 | ///////////// |
| 86 | // OUTPUTS // |
| 87 | ///////////// |
| 88 | |
| 89 | // phi |
| 90 | const mwSize dimPhi[] = {dimPhiInit[0], dimPhiInit[1], dimPhiInit[2], L}; |
| 91 | plhs[0] = mxCreateNumericArray(4,dimPhi,mxDOUBLE_CLASS,mxREAL); |
| 92 | Real* phi = mxGetPr(plhs[0]); |
| 93 | |
| 94 | // rho |
| 95 | const mwSize dimRho[] = {dimRhoInit[0], dimRhoInit[1], dimRhoInit[2], L}; |
| 96 | plhs[1] = mxCreateNumericArray(4,dimRho,mxDOUBLE_CLASS,mxREAL); |
| 97 | Real* rho = mxGetPr(plhs[1]); |
| 98 | |
| 99 | // pi |
| 100 | const mwSize dimPi[] = {k, L}; |
| 101 | plhs[2] = mxCreateNumericMatrix(dimPi[0],dimPi[1],mxDOUBLE_CLASS,mxREAL); |
| 102 | Real* pi = mxGetPr(plhs[2]); |
| 103 | |
| 104 | // lvraisemblance |
| 105 | const mwSize dimLvraisemblance[] = {L, 2}; |
| 106 | plhs[3] = mxCreateNumericMatrix(L, 2, mxDOUBLE_CLASS,mxREAL); |
| 107 | Real* lvraisemblance = mxGetPr(plhs[3]); |
| 108 | |
| 109 | ///////////////////////////////////////// |
| 110 | // Call to constructionModelesLassoMLE // |
| 111 | ///////////////////////////////////////// |
| 112 | |
| 113 | constructionModelesLassoMLE( |
| 114 | brPhiInit,brRhoInit,piInit,brGamInit,mini,maxi,gamma,glambda,brX,brY,seuil,tau,brA1,brA2, |
| 115 | phi,rho,pi,lvraisemblance, |
| 116 | n,p,m,k,L); |
| 117 | |
| 118 | free(brPhiInit); |
| 119 | free(brRhoInit); |
| 120 | free(brGamInit); |
| 121 | free(brX); |
| 122 | free(brY); |
| 123 | free(brA1); |
| 124 | free(brA2); |
| 125 | |
| 126 | //post-processing: convert by-rows outputs to MATLAB matrices |
| 127 | Real* mlPhi = brToMatlabArray_real(phi, dimPhi, 4); |
| 128 | copyArray(mlPhi, phi, dimPhi[0]*dimPhi[1]*dimPhi[2]*dimPhi[3]); |
| 129 | free(mlPhi); |
| 130 | |
| 131 | Real* mlRho = brToMatlabArray_real(rho, dimRho, 4); |
| 132 | copyArray(mlRho, rho, dimRho[0]*dimRho[1]*dimRho[2]*dimRho[3]); |
| 133 | free(mlRho); |
| 134 | |
| 135 | Real* mlPi = brToMatlabArray_real(pi, dimPi, 2); |
| 136 | copyArray(mlPi, pi, dimPi[0]*dimPi[1]); |
| 137 | free(mlPi); |
| 138 | |
| 139 | Real* mlLvraisemblance = brToMatlabArray_real(lvraisemblance, dimLvraisemblance, 2); |
| 140 | copyArray(mlLvraisemblance, lvraisemblance, dimLvraisemblance[0]*dimLvraisemblance[1]); |
| 141 | free(mlLvraisemblance); |
| 142 | } |