Searched refs:cov_r (Results 1 – 10 of 10) sorted by relevance
/dports/math/py-statsmodels/statsmodels-0.13.1/statsmodels/stats/tests/ |
H A D | test_corrpsd.py | 58 cov_r = Holder() variable 62 cov_r.eigenvalues = np.array([ 66 cov_r.corr = '''FALSE''' 67 cov_r.normF = 0.0623948693159157 68 cov_r.iterations = 11 69 cov_r.rel_tol = 5.83987595937896e-08 70 cov_r.converged = '''TRUE''' 73 cov_r.mat = np.array([ 158 cls.res = cov_r
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/dports/math/py-statsmodels/statsmodels-0.13.1/statsmodels/regression/tests/ |
H A D | test_theil.py | 61 cov_r = np.array([[0.15**2, -0.01], [-0.01, 0.15**2]]) 62 mod = TheilGLS(endog, exog, r_matrix, q_matrix=r_mean, sigma_prior=cov_r)
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/dports/graphics/darktable38/darktable-3.8.0/src/common/ |
H A D | guided_filter.c | 199 const float cov_r = varpx[COV_R] - guide_r * inp_mean; in guided_filter_tiling() local 202 const float det1 = cov_r * (Sigma_1_1 * Sigma_2_2 - Sigma_1_2 * Sigma_1_2) in guided_filter_tiling() 206 - cov_r * (Sigma_0_1 * Sigma_2_2 - Sigma_0_2 * Sigma_1_2) in guided_filter_tiling() 210 + cov_r * (Sigma_0_1 * Sigma_1_2 - Sigma_0_2 * Sigma_1_1); in guided_filter_tiling()
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/dports/graphics/darktable/darktable-3.6.1/src/common/ |
H A D | guided_filter.c | 199 const float cov_r = varpx[COV_R] - guide_r * inp_mean; in guided_filter_tiling() local 202 const float det1 = cov_r * (Sigma_1_1 * Sigma_2_2 - Sigma_1_2 * Sigma_1_2) in guided_filter_tiling() 206 - cov_r * (Sigma_0_1 * Sigma_2_2 - Sigma_0_2 * Sigma_1_2) in guided_filter_tiling() 210 + cov_r * (Sigma_0_1 * Sigma_1_2 - Sigma_0_2 * Sigma_1_1); in guided_filter_tiling()
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/dports/biology/phyml/phyml-3.3.20200621/src/ |
H A D | rates.c | 605 For(i,(2*n_otu-2)*(2*n_otu-2)) to->cov_r[i] = from->cov_r[i]; in RATES_Copy_Rate_Struct() 2670 For(i,dim*dim) tree->rates->cov_r[i] = 0.0; in RATES_Covariance_Mu() 2674 tree->rates->cov_r[tree->n_root->v[2]->num*dim+tree->n_root->v[2]->num] = var; in RATES_Covariance_Mu() 2679 tree->rates->cov_r[tree->n_root->v[1]->num*dim+tree->n_root->v[1]->num] = var; in RATES_Covariance_Mu() 2691 tree->rates->cov_r[i*dim+j] = tree->rates->cov_r[lca_num*dim+lca_num]; in RATES_Covariance_Mu() 2692 tree->rates->cov_r[j*dim+i] = tree->rates->cov_r[i*dim+j]; in RATES_Covariance_Mu() 2696 tree->rates->cov_r[i*dim+j] = 0.0; in RATES_Covariance_Mu() 2697 tree->rates->cov_r[j*dim+i] = 0.0; in RATES_Covariance_Mu() 2736 var0 = tree->rates->cov_r[d->num*dim+d->num]; in RATES_Variance_Mu_Pre() 2744 tree->rates->cov_r[d->v[dir1]->num*dim+d->v[dir1]->num] = var0+var1; in RATES_Variance_Mu_Pre() [all …]
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H A D | free.c | 1301 Free(rates->cov_r); in RATES_Free_Rates()
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H A D | utilities.h | 1561 phydbl *cov_r; member
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H A D | make.c | 1313 rates->cov_r = (phydbl *)mCalloc((2*n_otu-2)*(2*n_otu-2),sizeof(phydbl)); in RATES_Make_Rate_Struct()
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H A D | mcmc.c | 533 tree->rates->cov_r, in MCMC_Sample_Joint_Rates_Prior()
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/dports/science/py-GPy/GPy-1.10.0/GPy/testing/ |
H A D | model_tests.py | 1052 cov_r = k_r.K(x_r) 1054 cov_all = np.kron(cov_r,cov) 1111 cov_r = k_r.K(x_r) 1113 cov_all = np.repeat(np.repeat(cov_r,D_list,axis=0),D_list,axis=1)*cov
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