Пример #1
0
void CMath::display_vector(const float32_t* vector, int32_t n, const char* name,
		const char* prefix)
{
	ASSERT(n>=0);
	SG_SPRINT("%s%s=[", prefix, name);
	for (int32_t i=0; i<n; i++)
		SG_SPRINT("%s%g%s", prefix, vector[i], i==n-1? "" : ",");
	SG_SPRINT("%s]\n", prefix);
}
Пример #2
0
void CMath::display_matrix(
	const float64_t* matrix, int32_t rows, int32_t cols, const char* name)
{
	ASSERT(rows>=0 && cols>=0);
	SG_SPRINT("%s=[\n", name);
	for (int32_t i=0; i<rows; i++)
	{
		SG_SPRINT("[");
		for (int32_t j=0; j<cols; j++)
			SG_SPRINT("\t%lf%s", (double) matrix[j*rows+i],
				j==cols-1? "" : ",");
		SG_SPRINT("]%s\n", i==rows-1? "" : ",");
	}
	SG_SPRINT("]\n");
}
Пример #3
0
void SGMatrix<bool>::display_matrix(
	const bool* matrix, int32_t rows, int32_t cols, const char* name,
	const char* prefix)
{
	ASSERT(rows>=0 && cols>=0);
	SG_SPRINT("%s%s=[\n", prefix, name);
	for (int32_t i=0; i<rows; i++)
	{
		SG_SPRINT("%s[", prefix);
		for (int32_t j=0; j<cols; j++)
			SG_SPRINT("%s\t%d%s", prefix, matrix[j*rows+i] ? 1 : 0,
				j==cols-1? "" : ",");
		SG_SPRINT("%s]%s\n", prefix, i==rows-1? "" : ",");
	}
	SG_SPRINT("%s]\n", prefix);
}
Пример #4
0
void SGMatrix<floatmax_t>::display_matrix(
	const floatmax_t* matrix, int32_t rows, int32_t cols, const char* name,
	const char* prefix)
{
	ASSERT(rows>=0 && cols>=0);
	SG_SPRINT("%s%s=[\n", prefix, name);
	for (int32_t i=0; i<rows; i++)
	{
		SG_SPRINT("%s[", prefix);
		for (int32_t j=0; j<cols; j++)
			SG_SPRINT("%s\t%.18g%s", prefix, (double) matrix[j*rows+i],
				j==cols-1? "" : ",");
		SG_SPRINT("%s]%s\n", prefix, i==rows-1? "" : ",");
	}
	SG_SPRINT("%s]\n", prefix);
}
Пример #5
0
void fImgSvm::test_libsvm()
{
    init_shogun(&print_message);
    index_t num_vec=imgvec.size();
    index_t num_feat=SIFTN;
    index_t num_class=2;

    // create some data
    SGMatrix<float64_t> matrix(num_feat, num_vec);
    for(int i = 0 ; i < num_vec ; i ++ ) {
        for(int j = 0 ; j < num_feat ; j ++ ) {
            matrix(j,i) = imgvec[i][j];
        }
    }
    //SGVector<float64_t>::range_fill_vector(matrix.matrix, num_feat*num_vec);

    // create vectors
    // shogun will now own the matrix created
    CDenseFeatures<float64_t>* features=new CDenseFeatures<float64_t>(matrix);

    // create three labels
    CMulticlassLabels* labels=new CMulticlassLabels(num_vec);
    for (index_t i=0; i<num_vec; ++i)
        labels->set_label(i,imgtrainlabelvec[i]);

    // create gaussian kernel with cache 10MB, width 0.5
    CGaussianKernel* kernel = new CGaussianKernel(10, 0.5);
    kernel->init(features, features);

    // create libsvm with C=10 and train
    CMulticlassLibSVM* svm = new CMulticlassLibSVM(10, kernel, labels);
    svm->train();

    // classify on training examples
    CMulticlassLabels* output=CMulticlassLabels::obtain_from_generic(svm->apply());
    SGVector<float64_t>::display_vector(output->get_labels().vector, output->get_num_labels(),
                                        "初始的 output");

    /* assert that batch apply and apply(index_t) give same result */
    for (index_t i=0; i<output->get_num_labels(); ++i) {
        float64_t label=svm->apply_one(i);
        SG_SPRINT("result output[%d]=%f\n", i, label);
        ASSERT(output->get_label(i)==label);
    }
    SG_UNREF(output);

    // free up memory
    SG_UNREF(svm);

    exit_shogun();
}
Пример #6
0
bmrm_return_value_T svm_bmrm_solver(
		bmrm_data_T*    data,
		float64_t*      W,
		float64_t       TolRel,
		float64_t       TolAbs,
		float64_t       lambda,
		uint32_t        _BufSize,
		bool            cleanICP,
		uint32_t        cleanAfter,
		float64_t       K,
		uint32_t        Tmax,
		CRiskFunction*  risk_function)
{
	bmrm_return_value_T bmrm = {0, 0, 0, 0, 0, 0, 0};
	libqp_state_T qp_exitflag;
	float64_t *b, *beta, *diag_H, sq_norm_W;
	float64_t R, *subgrad, *A, QPSolverTolRel, rsum, C=1.0;
	uint32_t *I, *ICPcounter, *ICPs, cntICP=0;
	uint8_t S = 1;
	uint32_t nDim=data->w_dim;
	CTime ttime;
	float64_t tstart, tstop;

	float64_t *b2, *beta2, *diag_H2, *A2, *H2;
	uint32_t *I2, *ICPcounter2, nCP_new=0, idx=0, idx2=0, icp_iter=0, icp_iter2=0;
	int32_t idx_icp=0, idx_icp2=0;
	bool flag1=true, flag2=true;

	tstart=ttime.cur_time_diff(false);

	BufSize=_BufSize;
	QPSolverTolRel=TolRel*0.5;

	H=NULL;
	b=NULL;
	beta=NULL;
	A=NULL;
	subgrad=NULL;
	diag_H=NULL;
	I=NULL;
	ICPcounter=NULL;
	ICPs=NULL;

	b2=NULL;
	beta2=NULL;
	H2=NULL;
	I2=NULL;
	ICPcounter2=NULL;
	A2=NULL;
	diag_H2=NULL;

	H=(float64_t*)LIBBMRM_CALLOC(BufSize*BufSize, sizeof(float64_t));
	if (H==NULL)
	{
		bmrm.exitflag=-2;
		goto cleanup;
	}

	A=(float64_t*)LIBBMRM_CALLOC(nDim*BufSize, sizeof(float64_t));
	if (A==NULL)
	{
		bmrm.exitflag=-2;
		goto cleanup;
	}

	b=(float64_t*)LIBBMRM_CALLOC(BufSize, sizeof(float64_t));
	if (b==NULL)
	{
		bmrm.exitflag=-2;
		goto cleanup;
	}

	beta=(float64_t*)LIBBMRM_CALLOC(BufSize, sizeof(float64_t));
	if (beta==NULL)
	{
		bmrm.exitflag=-2;
		goto cleanup;
	}

	subgrad=(float64_t*)LIBBMRM_CALLOC(nDim, sizeof(float64_t));
	if (subgrad==NULL)
	{
		bmrm.exitflag=-2;
		goto cleanup;
	}

	diag_H=(float64_t*)LIBBMRM_CALLOC(BufSize, sizeof(float64_t));
	if (diag_H==NULL)
	{
		bmrm.exitflag=-2;
		goto cleanup;
	}

	I=(uint32_t*)LIBBMRM_CALLOC(BufSize, sizeof(uint32_t));
	if (I==NULL)
	{
		bmrm.exitflag=-2;
		goto cleanup;
	}

	ICPcounter=(uint32_t*)LIBBMRM_CALLOC(BufSize, sizeof(uint32_t));
	if (ICPcounter==NULL)
	{
		bmrm.exitflag=-2;
		goto cleanup;
	}

	ICPs=(uint32_t*)LIBBMRM_CALLOC(BufSize, sizeof(uint32_t));
	if (ICPs==NULL)
	{
		bmrm.exitflag=-2;
		goto cleanup;
	}

	/* Temporary buffers for ICP removal */
	b2=(float64_t*)LIBBMRM_CALLOC(BufSize, sizeof(float64_t));
	beta2=(float64_t*)LIBBMRM_CALLOC(BufSize, sizeof(float64_t));
	ICPcounter2=(uint32_t*)LIBBMRM_CALLOC(BufSize, sizeof(uint32_t));
	I2=(uint32_t*)LIBBMRM_CALLOC(BufSize, sizeof(uint32_t));
	diag_H2=(float64_t*)LIBBMRM_CALLOC(BufSize, sizeof(float64_t));
	A2=(float64_t*)LIBBMRM_CALLOC(nDim*BufSize, sizeof(float64_t));
	H2=(float64_t*)LIBBMRM_CALLOC(BufSize*BufSize, sizeof(float64_t));
	if (b2==NULL || beta2==NULL || ICPcounter2==NULL || I2==NULL || diag_H2==NULL || A2==NULL || H2==NULL)
	{
		bmrm.exitflag=-2;
	}

	/* Iinitial solution */
	risk_function->risk(data, &R, subgrad, W);

	bmrm.nCP=0;
	bmrm.nIter=0;
	bmrm.exitflag=0;

	b[0]=-R;
	LIBBMRM_MEMCPY(A, subgrad, nDim*sizeof(float64_t));

	/* Compute initial value of Fp, Fd, assuming that W is zero vector */
	sq_norm_W=0;
	bmrm.Fp=R+0.5*lambda*sq_norm_W;
	bmrm.Fd=-LIBBMRM_PLUS_INF;

	tstop=ttime.cur_time_diff(false);

	/* Verbose output */
	SG_SPRINT("%4d: tim=%.3lf, Fp=%lf, Fd=%lf, R=%lf\n",
			bmrm.nIter, tstop-tstart, bmrm.Fp, bmrm.Fd, R);

	/* main loop */
	while (bmrm.exitflag==0)
	{
		tstart=ttime.cur_time_diff(false);
		bmrm.nIter++;

		/* Update H */
		if (bmrm.nCP>0)
		{
			for (uint32_t i=0; i<bmrm.nCP; ++i)
			{
				rsum=0.0;
				for (uint32_t j=0; j<nDim; ++j)
				{
					rsum+=A[LIBBMRM_INDEX(j, i, nDim)]*A[LIBBMRM_INDEX(j, bmrm.nCP, nDim)];
				}
				H[LIBBMRM_INDEX(i, bmrm.nCP, BufSize)]=rsum/lambda;
			}
			for (uint32_t i=0; i<bmrm.nCP; ++i)
			{
				H[LIBBMRM_INDEX(bmrm.nCP, i, BufSize)]=H[LIBBMRM_INDEX(i, bmrm.nCP, BufSize)];
			}
		}
		H[LIBBMRM_INDEX(bmrm.nCP, bmrm.nCP, BufSize)]=0.0;

		for (uint32_t i=0; i<nDim; ++i)
			H[LIBBMRM_INDEX(bmrm.nCP, bmrm.nCP, BufSize)]+=A[LIBBMRM_INDEX(i, bmrm.nCP, nDim)]*A[LIBBMRM_INDEX(i, bmrm.nCP, nDim)]/lambda;

		diag_H[bmrm.nCP]=H[LIBBMRM_INDEX(bmrm.nCP, bmrm.nCP, BufSize)];
		I[bmrm.nCP]=1;

		bmrm.nCP++;

		/* call QP solver */
		qp_exitflag = libqp_splx_solver(&get_col, diag_H, b, &C, I, &S, beta,
				bmrm.nCP, QPSolverMaxIter, 0.0, QPSolverTolRel, -LIBBMRM_PLUS_INF, 0);

		bmrm.qp_exitflag=qp_exitflag.exitflag;

		/* Update ICPcounter (add one to unused and reset used) + compute number of active CPs*/
		bmrm.nzA=0;
		for (uint32_t aaa=0; aaa<bmrm.nCP; ++aaa)
		{
			if (beta[aaa]>epsilon)
			{
				bmrm.nzA+=1;
				ICPcounter[aaa]=0;
			} else {
				ICPcounter[aaa]+=1;
			}
		}

		/* W update */
		for (uint32_t i=0; i<nDim; ++i)
		{
			rsum = 0.0;
			for (uint32_t j=0; j<bmrm.nCP; ++j)
			{
				rsum += A[LIBBMRM_INDEX(i, j, nDim)]*beta[j];
			}
			W[i] = -rsum/lambda;
		}

		/* risk and subgradient computation */
		risk_function->risk(data, &R, subgrad, W);
		LIBBMRM_MEMCPY(A+bmrm.nCP*nDim, subgrad, nDim*sizeof(float64_t));
		b[bmrm.nCP]=-R;
		for (uint32_t j=0; j<nDim; ++j)
			b[bmrm.nCP]+=subgrad[j]*W[j];

		sq_norm_W = 0;
		for (uint32_t j=0; j<nDim; ++j)
			sq_norm_W+=W[j]*W[j];

		bmrm.Fp=R+0.5*lambda*sq_norm_W;
		bmrm.Fd=-qp_exitflag.QP;

		/* Stopping conditions */
		if (bmrm.Fp - bmrm.Fd <= TolRel*LIBBMRM_ABS(bmrm.Fp)) bmrm.exitflag=1;
		if (bmrm.Fp - bmrm.Fd <= TolAbs) bmrm.exitflag=2;
		if (bmrm.nCP >= BufSize) bmrm.exitflag=-1;

		tstop=ttime.cur_time_diff(false);

		/* Verbose output */
		SG_SPRINT("%4d: tim=%.3lf, Fp=%lf, Fd=%lf, (Fp-Fd)=%lf, (Fp-Fd)/Fp=%lf, R=%lf, nCP=%d, nzA=%d\n",
				bmrm.nIter, tstop-tstart, bmrm.Fp, bmrm.Fd, bmrm.Fp-bmrm.Fd, (bmrm.Fp-bmrm.Fd)/bmrm.Fp, R, bmrm.nCP, bmrm.nzA);

		/* Check size of Buffer */
		if (bmrm.nCP>=BufSize)
		{
			bmrm.exitflag=-2;
			SG_SERROR("Buffer exceeded.\n");
		}

		/* Inactive Cutting Planes (ICP) removal */
		if (cleanICP)
		{
			/* find ICP */
			cntICP = 0;
			for (uint32_t aaa=0; aaa<bmrm.nCP; ++aaa)
				if (ICPcounter[aaa]>=cleanAfter)
				{
					ICPs[cntICP++]=aaa;
				}

			/* do ICP */
			if (cntICP > 0)
			{
				nCP_new=bmrm.nCP-cntICP;

				idx=0;
				idx2=0;
				icp_iter=0;
				icp_iter2=0;
				idx_icp=ICPs[icp_iter];
				idx_icp2=ICPs[icp_iter2];
				flag1=true; flag2=true;

				for (uint32_t i=0; i<bmrm.nCP; ++i)
				{
					if ((int32_t)i != idx_icp)
					{
						b2[idx]=b[i];
						beta2[idx]=beta[i];
						ICPcounter2[idx]=ICPcounter[i];
						I2[idx]=I[i];
						diag_H2[idx]=diag_H[i];
						LIBBMRM_MEMCPY(A2+idx*nDim, A+i*nDim, nDim*sizeof(float64_t));

						idx2=0;
						icp_iter2=0;
						idx_icp2=ICPs[icp_iter2];
						flag2=true;
						for (uint32_t j=0; j<bmrm.nCP; ++j)
						{
							if ((int32_t)j != idx_icp2)
							{
								H2[LIBBMRM_INDEX(idx, idx2, BufSize)]=H[LIBBMRM_INDEX(i, j, BufSize)];
								idx2++;
							} else {
								if (flag2 && icp_iter2+1 < cntICP)
								{
									idx_icp2=ICPs[++icp_iter2];
								} else {
									flag2=false;
									idx_icp2=-1;
								}
							}
						}

						idx++;
					} else {
						if (flag1 && icp_iter+1 < cntICP)
						{
							idx_icp=ICPs[++icp_iter];
						} else {
							flag1=false;
							idx_icp=-1;
						}
					}
				}

				/* copy data from tmps back to original */
				LIBBMRM_MEMCPY(b, b2, nCP_new*sizeof(float64_t));
				LIBBMRM_MEMCPY(beta, beta2, nCP_new*sizeof(float64_t));
				LIBBMRM_MEMCPY(ICPcounter, ICPcounter2, nCP_new*sizeof(uint32_t));
				LIBBMRM_MEMCPY(I, I2, nCP_new*sizeof(uint32_t));
				LIBBMRM_MEMCPY(diag_H, diag_H2, nCP_new*sizeof(float64_t));
				LIBBMRM_MEMCPY(A, A2, nDim*nCP_new*sizeof(float64_t));
				for (uint32_t i=0; i<nCP_new; ++i)
					for (uint32_t j=0; j<nCP_new; ++j)
						H[LIBBMRM_INDEX(i, j, BufSize)]=H2[LIBBMRM_INDEX(i, j, BufSize)];

				bmrm.nCP=nCP_new;
			}
		}

	} /* end of main loop */

cleanup:

	LIBBMRM_FREE(H);
	LIBBMRM_FREE(b);
	LIBBMRM_FREE(beta);
	LIBBMRM_FREE(A);
	LIBBMRM_FREE(subgrad);
	LIBBMRM_FREE(diag_H);
	LIBBMRM_FREE(I);
	LIBBMRM_FREE(ICPcounter);
	LIBBMRM_FREE(ICPs);

	LIBBMRM_FREE(H2);
	LIBBMRM_FREE(b2);
	LIBBMRM_FREE(beta2);
	LIBBMRM_FREE(A2);
	LIBBMRM_FREE(diag_H2);
	LIBBMRM_FREE(I2);
	LIBBMRM_FREE(ICPcounter2);

	return(bmrm);
}
Пример #7
0
bmrm_return_value_T svm_bmrm_solver(
		CStructuredModel* model,
		float64_t*       W,
		float64_t        TolRel,
		float64_t        TolAbs,
		float64_t        _lambda,
		uint32_t         _BufSize,
		bool             cleanICP,
		uint32_t         cleanAfter,
		float64_t        K,
		uint32_t         Tmax,
		bool             verbose)
{
	bmrm_return_value_T bmrm;
	libqp_state_T qp_exitflag={0, 0, 0, 0};
	float64_t *b, *beta, *diag_H, *prevW;
	float64_t R, *subgrad, *A, QPSolverTolRel, C=1.0, wdist=0.0;
	floatmax_t rsum, sq_norm_W, sq_norm_Wdiff=0.0;
	uint32_t *I;
	uint8_t S=1;
	uint32_t nDim=model->get_dim();

	CTime ttime;
	float64_t tstart, tstop;

	bmrm_ll *CPList_head, *CPList_tail, *cp_ptr, *cp_ptr2, *cp_list=NULL;
	float64_t *A_1=NULL, *A_2=NULL;
	bool *map=NULL;


	tstart=ttime.cur_time_diff(false);

	BufSize=_BufSize;
	QPSolverTolRel=1e-9;

	H=NULL;
	b=NULL;
	beta=NULL;
	A=NULL;
	subgrad=NULL;
	diag_H=NULL;
	I=NULL;
	prevW=NULL;

	H= (float64_t*) LIBBMRM_CALLOC(BufSize*BufSize, sizeof(float64_t));

	if (H==NULL)
	{
		bmrm.exitflag=-2;
		goto cleanup;
	}

	A= (float64_t*) LIBBMRM_CALLOC(nDim*BufSize, sizeof(float64_t));

	if (A==NULL)
	{
		bmrm.exitflag=-2;
		goto cleanup;
	}

	b= (float64_t*) LIBBMRM_CALLOC(BufSize, sizeof(float64_t));

	if (b==NULL)
	{
		bmrm.exitflag=-2;
		goto cleanup;
	}

	beta= (float64_t*) LIBBMRM_CALLOC(BufSize, sizeof(float64_t));

	if (beta==NULL)
	{
		bmrm.exitflag=-2;
		goto cleanup;
	}

	subgrad= (float64_t*) LIBBMRM_CALLOC(nDim, sizeof(float64_t));

	if (subgrad==NULL)
	{
		bmrm.exitflag=-2;
		goto cleanup;
	}

	diag_H= (float64_t*) LIBBMRM_CALLOC(BufSize, sizeof(float64_t));

	if (diag_H==NULL)
	{
		bmrm.exitflag=-2;
		goto cleanup;
	}

	I= (uint32_t*) LIBBMRM_CALLOC(BufSize, sizeof(uint32_t));

	if (I==NULL)
	{
		bmrm.exitflag=-2;
		goto cleanup;
	}

	ICP_stats icp_stats;
	icp_stats.maxCPs = BufSize;

	icp_stats.ICPcounter= (uint32_t*) LIBBMRM_CALLOC(BufSize, sizeof(uint32_t));
	if (icp_stats.ICPcounter==NULL)
	{
		bmrm.exitflag=-2;
		goto cleanup;
	}

	icp_stats.ICPs= (float64_t**) LIBBMRM_CALLOC(BufSize, sizeof(float64_t*));
	if (icp_stats.ICPs==NULL)
	{
		bmrm.exitflag=-2;
		goto cleanup;
	}

	icp_stats.ACPs= (uint32_t*) LIBBMRM_CALLOC(BufSize, sizeof(uint32_t));
	if (icp_stats.ACPs==NULL)
	{
		bmrm.exitflag=-2;
		goto cleanup;
	}

	/* Temporary buffers for ICP removal */
	icp_stats.H_buff= (float64_t*) LIBBMRM_CALLOC(BufSize*BufSize, sizeof(float64_t));
	if (icp_stats.H_buff==NULL)
	{
		bmrm.exitflag=-2;
		goto cleanup;
	}

	map= (bool*) LIBBMRM_CALLOC(BufSize, sizeof(bool));

	if (map==NULL)
	{
		bmrm.exitflag=-2;
		goto cleanup;
	}

	memset( (bool*) map, true, BufSize);

	cp_list= (bmrm_ll*) LIBBMRM_CALLOC(1, sizeof(bmrm_ll));

	if (cp_list==NULL)
	{
		bmrm.exitflag=-2;
		goto cleanup;
	}

	prevW= (float64_t*) LIBBMRM_CALLOC(nDim, sizeof(float64_t));

	if (prevW==NULL)
	{
		bmrm.exitflag=-2;
		goto cleanup;
	}

	bmrm.hist_Fp = SGVector< float64_t >(BufSize);
	bmrm.hist_Fd = SGVector< float64_t >(BufSize);
	bmrm.hist_wdist = SGVector< float64_t >(BufSize);

	/* Iinitial solution */
	R=model->risk(subgrad, W);

	bmrm.nCP=0;
	bmrm.nIter=0;
	bmrm.exitflag=0;

	b[0]=-R;

	/* Cutting plane auxiliary double linked list */

	LIBBMRM_MEMCPY(A, subgrad, nDim*sizeof(float64_t));
	map[0]=false;
	cp_list->address=&A[0];
	cp_list->idx=0;
	cp_list->prev=NULL;
	cp_list->next=NULL;
	CPList_head=cp_list;
	CPList_tail=cp_list;

	/* Compute initial value of Fp, Fd, assuming that W is zero vector */

	sq_norm_W=0;
	bmrm.Fp=R+0.5*_lambda*sq_norm_W;
	bmrm.Fd=-LIBBMRM_PLUS_INF;

	tstop=ttime.cur_time_diff(false);

	/* Verbose output */

	if (verbose)
		SG_SPRINT("%4d: tim=%.3lf, Fp=%lf, Fd=%lf, R=%lf\n",
				bmrm.nIter, tstop-tstart, bmrm.Fp, bmrm.Fd, R);

	/* store Fp, Fd and wdist history */
	bmrm.hist_Fp[0]=bmrm.Fp;
	bmrm.hist_Fd[0]=bmrm.Fd;
	bmrm.hist_wdist[0]=0.0;

	/* main loop */

	while (bmrm.exitflag==0)
	{
		tstart=ttime.cur_time_diff(false);
		bmrm.nIter++;

		/* Update H */

		if (bmrm.nCP>0)
		{
			A_2=get_cutting_plane(CPList_tail);
			cp_ptr=CPList_head;

			for (uint32_t i=0; i<bmrm.nCP; ++i)
			{
				A_1=get_cutting_plane(cp_ptr);
				cp_ptr=cp_ptr->next;
				rsum= SGVector<float64_t>::dot(A_1, A_2, nDim);

				H[LIBBMRM_INDEX(bmrm.nCP, i, BufSize)]
					= H[LIBBMRM_INDEX(i, bmrm.nCP, BufSize)]
					= rsum/_lambda;
			}
		}

		A_2=get_cutting_plane(CPList_tail);
		rsum = SGVector<float64_t>::dot(A_2, A_2, nDim);

		H[LIBBMRM_INDEX(bmrm.nCP, bmrm.nCP, BufSize)]=rsum/_lambda;

		diag_H[bmrm.nCP]=H[LIBBMRM_INDEX(bmrm.nCP, bmrm.nCP, BufSize)];
		I[bmrm.nCP]=1;

		bmrm.nCP++;
		beta[bmrm.nCP]=0.0; // [beta; 0]

#if 0
		/* TODO: scaling...*/
		float64_t scale = SGVector<float64_t>::max(diag_H, BufSize)/(1000.0*_lambda);
		SGVector<float64_t> sb(bmrm.nCP);
		sb.zero();
		sb.vec1_plus_scalar_times_vec2(sb.vector, 1/scale, b, bmrm.nCP);

		SGVector<float64_t> sh(bmrm.nCP);
		sh.zero();
		sb.vec1_plus_scalar_times_vec2(sh.vector, 1/scale, diag_H, bmrm.nCP);

		qp_exitflag =
			libqp_splx_solver(&get_col, sh.vector, sb.vector, &C, I, &S, beta,
				bmrm.nCP, QPSolverMaxIter, 0.0, QPSolverTolRel, -LIBBMRM_PLUS_INF, 0);
#else
		/* call QP solver */
		qp_exitflag=libqp_splx_solver(&get_col, diag_H, b, &C, I, &S, beta,
				bmrm.nCP, QPSolverMaxIter, 0.0, QPSolverTolRel, -LIBBMRM_PLUS_INF, 0);
#endif

		bmrm.qp_exitflag=qp_exitflag.exitflag;

		/* Update ICPcounter (add one to unused and reset used)
		 * + compute number of active CPs */
		bmrm.nzA=0;

		for (uint32_t aaa=0; aaa<bmrm.nCP; ++aaa)
		{
			if (beta[aaa]>epsilon)
			{
				++bmrm.nzA;
				icp_stats.ICPcounter[aaa]=0;
			}
			else
			{
				icp_stats.ICPcounter[aaa]+=1;
			}
		}

		/* W update */
		memset(W, 0, sizeof(float64_t)*nDim);
		cp_ptr=CPList_head;
		for (uint32_t j=0; j<bmrm.nCP; ++j)
		{
			A_1=get_cutting_plane(cp_ptr);
			cp_ptr=cp_ptr->next;
			SGVector<float64_t>::vec1_plus_scalar_times_vec2(W, -beta[j]/_lambda, A_1, nDim);
		}

		/* risk and subgradient computation */
		R = model->risk(subgrad, W);
		add_cutting_plane(&CPList_tail, map, A,
				find_free_idx(map, BufSize), subgrad, nDim);

		sq_norm_W=SGVector<float64_t>::dot(W, W, nDim);
		b[bmrm.nCP]=SGVector<float64_t>::dot(subgrad, W, nDim) - R;

		sq_norm_Wdiff=0.0;
		for (uint32_t j=0; j<nDim; ++j)
		{
			sq_norm_Wdiff+=(W[j]-prevW[j])*(W[j]-prevW[j]);
		}

		bmrm.Fp=R+0.5*_lambda*sq_norm_W;
		bmrm.Fd=-qp_exitflag.QP;
		wdist=CMath::sqrt(sq_norm_Wdiff);

		/* Stopping conditions */

		if (bmrm.Fp - bmrm.Fd <= TolRel*LIBBMRM_ABS(bmrm.Fp))
			bmrm.exitflag=1;

		if (bmrm.Fp - bmrm.Fd <= TolAbs)
			bmrm.exitflag=2;

		if (bmrm.nCP >= BufSize)
			bmrm.exitflag=-1;

		tstop=ttime.cur_time_diff(false);

		/* Verbose output */

		if (verbose)
			SG_SPRINT("%4d: tim=%.3lf, Fp=%lf, Fd=%lf, (Fp-Fd)=%lf, (Fp-Fd)/Fp=%lf, R=%lf, nCP=%d, nzA=%d, QPexitflag=%d\n",
					bmrm.nIter, tstop-tstart, bmrm.Fp, bmrm.Fd, bmrm.Fp-bmrm.Fd,
					(bmrm.Fp-bmrm.Fd)/bmrm.Fp, R, bmrm.nCP, bmrm.nzA, qp_exitflag.exitflag);

		/* Keep Fp, Fd and w_dist history */
		bmrm.hist_Fp[bmrm.nIter]=bmrm.Fp;
		bmrm.hist_Fd[bmrm.nIter]=bmrm.Fd;
		bmrm.hist_wdist[bmrm.nIter]=wdist;

		/* Check size of Buffer */

		if (bmrm.nCP>=BufSize)
		{
			bmrm.exitflag=-2;
			SG_SERROR("Buffer exceeded.\n");
		}

		/* keep W (for wdist history track) */
		LIBBMRM_MEMCPY(prevW, W, nDim*sizeof(float64_t));

		/* Inactive Cutting Planes (ICP) removal */
		if (cleanICP)
		{
			clean_icp(&icp_stats, bmrm, &CPList_head, &CPList_tail, H, diag_H, beta, map, cleanAfter, b, I);
		}
	} /* end of main loop */

	bmrm.hist_Fp.resize_vector(bmrm.nIter);
	bmrm.hist_Fd.resize_vector(bmrm.nIter);
	bmrm.hist_wdist.resize_vector(bmrm.nIter);

	cp_ptr=CPList_head;

	while(cp_ptr!=NULL)
	{
		cp_ptr2=cp_ptr;
		cp_ptr=cp_ptr->next;
		LIBBMRM_FREE(cp_ptr2);
		cp_ptr2=NULL;
	}

	cp_list=NULL;

cleanup:

	LIBBMRM_FREE(H);
	LIBBMRM_FREE(b);
	LIBBMRM_FREE(beta);
	LIBBMRM_FREE(A);
	LIBBMRM_FREE(subgrad);
	LIBBMRM_FREE(diag_H);
	LIBBMRM_FREE(I);
	LIBBMRM_FREE(icp_stats.ICPcounter);
	LIBBMRM_FREE(icp_stats.ICPs);
	LIBBMRM_FREE(icp_stats.ACPs);
	LIBBMRM_FREE(icp_stats.H_buff);
	LIBBMRM_FREE(map);
	LIBBMRM_FREE(prevW);

	if (cp_list)
		LIBBMRM_FREE(cp_list);

	return(bmrm);
}
Пример #8
0
void fImgSvm::test_libsvm2()
{
    init_shogun(&print_message);
    const int32_t feature_cache=0;
    const int32_t kernel_cache=0;
    const float64_t rbf_width=10;
    const float64_t svm_C=10;
    const float64_t svm_eps=0.001;

    int32_t num=mtrainimgsum;
    int32_t dims=SIFTN;
    float64_t dist=0.5;

    SGVector<float64_t> lab(num); //标签
    SGMatrix<float64_t> feat(dims, num);

    //gen_rand_data(lab, feat, dist);
    for(int i = 0 ; i < num ; i ++ ) {
        for(int j = 0 ; j < dims ; j ++ ) {
            feat(j,i) = imgvec[i][j];
        }
    }

    for(int i = 0 ; i < num ; i ++ ) {
        //lab[i] = imglabelvec[i]*1.0;
        if(imgtrainlabelvec[i] ==  1)
            lab[i] = -1.0;
        else
            lab[i] = 1.0;
    }

    // create train labels
    CLabels* labels=new CBinaryLabels(lab);

    // create train features
    CDenseFeatures<float64_t>* features=new CDenseFeatures<float64_t>(feature_cache);
    SG_REF(features);
    features->set_feature_matrix(feat);

    // create gaussian kernel
    CGaussianKernel* kernel=new CGaussianKernel(kernel_cache, rbf_width);
    SG_REF(kernel);
    kernel->init(features, features);

    // create svm via libsvm and train
    CLibSVM* svm=new CLibSVM(svm_C, kernel, labels);
    SG_REF(svm);
    svm->set_epsilon(svm_eps);
    svm->train();

    SG_SPRINT("num_sv:%d b:%f\n", svm->get_num_support_vectors(),
              svm->get_bias());

    // classify + display output
    CBinaryLabels* out_labels=CBinaryLabels::obtain_from_generic(svm->apply());

    for (int32_t i=0; i<num; i++) {
        SG_SPRINT("out[%d]=%f (%f)\n", i, out_labels->get_label(i),
                  out_labels->get_confidence(i));
    }

    CBinaryLabels* result = CBinaryLabels::obtain_from_generic (svm->apply(features) );
    for (int32_t i=0; i<3; i++)
        SG_SPRINT("output[%d]=%f\n", i, result->get_label(i));

    // update
    // predict the
    printf("----------------test -----------------\n");

    getTestImg(imgtestvec);
    int32_t testnum = mtestingsum;
    SGMatrix<float64_t> testfeat(dims, testnum);

    for(int i = 0 ; i < testnum ; i ++ ) {
        for(int j = 0 ; j < dims ; j ++ ) {
            testfeat(j,i) = imgtestvec[i][j];
        }
    }

    CDenseFeatures<float64_t>* testfeatures=new CDenseFeatures<float64_t>(feature_cache);
    SG_REF(testfeatures);
    testfeatures->set_feature_matrix(testfeat);
    CBinaryLabels* testresult = CBinaryLabels::obtain_from_generic (svm->apply(testfeatures) );
    int32_t rightnum1 = 0;
    int32_t rightsum1 = 0;
    int32_t rightnum2 = 0;
    for (int32_t i=0; i<testnum; i++) {
        SG_SPRINT("output[%d]=%f\n", i, testresult->get_label(i));
        if(imgtestlabelvec[i] == 1  ) {
            if( (testresult->get_label(i))  < 0.0) {
                rightnum1 ++;
            }
            rightsum1 ++ ;
        } else
            if(imgtestlabelvec[i] == 2 && testresult->get_label(i) > 0.0) {
                rightnum2 ++ ;
            }
    }

    printf(" %lf\n ",(rightnum1+rightnum2)*1.0 / testnum);
    printf("class 1 : %lf\n",rightnum1 *1.0 / rightsum1);
    printf("class 2 : %lf\n",rightnum2 *1.0 / (testnum -  rightsum1));



    SG_UNREF(out_labels);
    SG_UNREF(kernel);
    SG_UNREF(features);
    SG_UNREF(svm);

    exit_shogun();
}
Пример #9
0
bool COctaveInterface::run_octave_helper(CSGInterface* from_if)
{
	from_if->SG_DEBUG("Entering Octave\n");
	octave_save_signal_mask ();

	if (octave_set_current_context)
	{
#if defined (USE_EXCEPTIONS_FOR_INTERRUPTS)
		panic_impossible ();
#else
		unwind_protect::run_all ();
		raw_mode (0);
		octave_restore_signal_mask ();
#endif
	}

	can_interrupt = true;
	octave_catch_interrupts ();
	octave_initialized = true;

	try 
	{
		int parse_status;
		char* octave_code=NULL;
		clear_octave_globals();

		for (int i=0; i<from_if->get_nrhs(); i++)
		{
			int len=0;
			char* var_name = from_if->get_string(len);
			from_if->SG_DEBUG("var_name = '%s'\n", var_name);
			if (strmatch(var_name, "octavecode"))
			{
				len=0;
				octave_code=from_if->get_string(len);
				from_if->SG_DEBUG("octave_code = '%s'\n", octave_code);
				break;
			}
			else
			{
				octave_value_list args;

				COctaveInterface* in = new COctaveInterface(args, 1, false);
				in->create_return_values(1);
				from_if->translate_arg(from_if, in);
#if OCTAVE_APIVERSION >= 37
				symbol_table::varref (var_name) = in->get_return_values()(0);
#else
				set_global_value(var_name, in->get_return_values()(0));
#endif
				delete[] var_name;
				SG_UNREF(in);
			}
		}

#if OCTAVE_APIVERSION >= 37
#else
		symbol_table* old=curr_sym_tab;
		curr_sym_tab = global_sym_tab;
#endif
		reset_error_handler ();
		eval_string(octave_code, false, parse_status);
		delete[] octave_code;

		int32_t sz=0;
		octave_value_list results;

#if OCTAVE_APIVERSION >= 37
		if (symbol_table::is_variable("results"))
		{
			results = symbol_table::varval("results");
			//results = get_global_value("results", false);
			sz=results.length();
		}
#else
		if (curr_sym_tab->lookup("results"))
		{
			results = get_global_value("results", false);
			sz=results.length();
		}
#endif

		if (sz>0)
		{
			if (results(0).is_list())
			{
				from_if->SG_DEBUG("Found return list of length %d\n", results(0).length());
				results=results(0).list_value();
				sz=results.length();
			}
		}

		if (sz>0 && from_if->create_return_values(sz))
		{
			from_if->SG_DEBUG("Found %d args\n", sz);
			COctaveInterface* out = new COctaveInterface(results, sz, false);

			//process d
			for (int32_t i=0; i<sz; i++)
				from_if->translate_arg(out, from_if);

			SG_UNREF(out);
		}
		else
		{
			if (sz!=from_if->get_nlhs())
			{
				from_if->SG_ERROR("Number of return values (%d) does not match number of expected"
						" return values (%d).\n", sz, from_if->get_nlhs());
			}
		}

#if OCTAVE_APIVERSION >= 37
#else
		curr_sym_tab=old;
#endif
	}
	catch (octave_interrupt_exception)
	{
		recover_from_exception ();
		SG_SPRINT("%\n");
	}
	catch (std::bad_alloc)
	{
		recover_from_exception ();
		SG_SPRINT("%\n");
	}

	octave_restore_signal_mask();
	octave_initialized = false;

	from_if->SG_DEBUG("Leaving Octave.\n");
	return true;
}