/dports/graphics/dataplot/dataplot-2c1b27601a3b7523449de612613eadeead9a8f70/lib/macros/ |
H A D | FISHCLAS.DP | 45 . Find minimum sum of (yhat - ybar) square
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/dports/science/PETSc/petsc-3.14.1/src/tao/constrained/impls/admm/ |
H A D | admm.c | 77 ierr = VecWAXPY(tempJR2,-1.,am->yhatold,am->yhat);CHKERRQ(ierr); in AdaptiveADMMPenaltyUpdate() 490 ierr = VecWAXPY(am->yhat, -am->mu, am->residual, am->yold);CHKERRQ(ierr); in TaoSolve_ADMM() 494 ierr = VecCopy(am->yhat, am->yhatold);CHKERRQ(ierr); in TaoSolve_ADMM() 645 if (!am->yhat) { in TaoSetUp_ADMM() 646 ierr = VecDuplicate(am->Ax,&am->yhat);CHKERRQ(ierr); in TaoSetUp_ADMM() 647 ierr = VecSet(am->yhat,0.0);CHKERRQ(ierr); in TaoSetUp_ADMM() 695 ierr = VecDestroy(&am->yhat);CHKERRQ(ierr); in TaoDestroy_ADMM()
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/dports/science/afni/afni-AFNI_21.3.16/src/ |
H A D | 3dConvolve.c | 1439 vector yhat; /* product Xb */ in calc_response() local 1444 vector_initialize (&yhat); in calc_response() 1448 vector_multiply (x, b, &yhat); in calc_response() 1455 predts[good_list[it]] = yhat.elts[it]; in calc_response() 1477 vector_destroy (&yhat); in calc_response()
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/dports/devel/R-cran-Hmisc/Hmisc/man/ |
H A D | areg.Rd | 187 yhat <- predict(z, xx, type='fitted') 189 for(j in 1:ncol(yhat)) lines(xx, yhat[,j], col=j)
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/dports/science/dynare/dynare-4.6.4/contrib/ms-sbvar/TZcode/MatlabFiles/ |
H A D | histpdfcnt.m | 20 % (yhat, yhatqg, or yhatCalyg) 22 % (yhat, yhatqg, or yhatCalyg)
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/dports/math/py-statsmodels/statsmodels-0.13.1/statsmodels/tsa/ |
H A D | varma_process.py | 392 self.yhat = varfilter(self.y, self.arhat) 393 return self.yhat
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/dports/math/R-cran-gss/gss/R/ |
H A D | summary.ssanova0.R | 41 comp <- cbind(comp,yhat=fitted.off,y=fitted.off+res,e=res)
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H A D | summary.ssanova9.R | 54 comp <- cbind(comp,yhat=fitted.off,y=fitted.off+res,e=res)
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H A D | sshzd2d1.R | 271 yhat <- predict(rho.wk,rho.wk$mf) functionVar 272 rho.qd <- exp(rho.wk$nu*outer(log(quad$pt),yhat[!x.dup.ind],"-"))/quad$pt 273 rhowk <- (exp(rho.wk$nu*(log(yy$end)-yhat))/yy$end)[yy$status]
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H A D | summary.ssanova.R | 59 comp <- cbind(comp,yhat=fitted.off,y=fitted.off+res,e=res)
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H A D | summary.gssanova.R | 70 comp <- cbind(comp,yhat=fitted.off,y=fitted.off+res/sqrt(w),e=res/sqrt(w))
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H A D | summary.gssanova0.R | 61 comp <- cbind(comp,yhat=fitted.off,y=fitted.off+res/sqrt(w),e=res/sqrt(w))
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/dports/misc/py-gluoncv/gluon-cv-0.9.0/scripts/action-recognition/ |
H A D | train_recognizer.py | 378 loss = [L(yhat, y.astype(opt.dtype, copy=False)) for yhat, y in zip(outputs, label)] 476 … loss = [L(yhat, y.astype(opt.dtype, copy=False)) for yhat, y in zip(outputs, label)]
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/dports/security/vault/vault-1.8.2/vendor/github.com/hashicorp/cap/ |
H A D | go.sum | 40 github.com/yhat/scrape v0.0.0-20161128144610-24b7890b0945 h1:6Ju8pZBYFTN9FaV/JvNBiIHcsgEmP4z4laciqj… 41 github.com/yhat/scrape v0.0.0-20161128144610-24b7890b0945/go.mod h1:4vRFPPNYllgCacoj+0FoKOjTW68rUhE…
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/dports/math/R/R-4.1.2/src/library/stats/src/ |
H A D | modreg.h | 75 void F77_NAME(lowesp)(int *n, double *y, double *yhat, double *pwgts,
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/dports/math/libRmath/R-4.1.1/src/library/stats/src/ |
H A D | modreg.h | 75 void F77_NAME(lowesp)(int *n, double *y, double *yhat, double *pwgts,
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/dports/math/gretl/gretl-2021d/lib/src/ |
H A D | nls.c | 1953 tmp = realloc(pmod->yhat, T * sizeof *tmp); in add_fit_resid_to_nls_model() 1957 pmod->yhat = tmp; in add_fit_resid_to_nls_model() 1965 pmod->uhat[t] = pmod->yhat[t] = NADBL; in add_fit_resid_to_nls_model() 1968 pmod->yhat[t] = dset->Z[yno][t]; in add_fit_resid_to_nls_model() 1971 pmod->yhat[t] = dset->Z[yno][t] - spec->fvec[s]; in add_fit_resid_to_nls_model() 3878 if (pmod->yhat != NULL) { in finalize_ivreg_model() 3879 free(pmod->yhat); in finalize_ivreg_model() 3881 pmod->yhat = ols->yhat; in finalize_ivreg_model() 3882 ols->yhat = NULL; in finalize_ivreg_model() 3887 pmod->yhat[t] = Z[yno][t] - Z[rv][t]; in finalize_ivreg_model() [all …]
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H A D | libgretl.h | 375 double *yhat; /* fitted values from regression */ member
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H A D | system.c | 413 sys->yhat = NULL; in equation_system_new() 481 if (sys->yhat != NULL) { in system_clear_results() 482 gretl_matrix_replace(&sys->yhat, NULL); in system_clear_results() 3042 M = (idx == M_UHAT)? sys->E : sys->yhat; in equation_system_get_series() 3078 if (sys->yhat == NULL) { in system_add_yhat_matrix() 3082 gretl_matrix_set_t1(sys->yhat, sys->t1); in system_add_yhat_matrix() 3083 gretl_matrix_set_t2(sys->yhat, sys->t2); in system_add_yhat_matrix() 3088 x = sys->models[i]->yhat[t]; in system_add_yhat_matrix() 3089 gretl_matrix_set(sys->yhat, s++, i, x); in system_add_yhat_matrix() 3148 M = gretl_matrix_copy(sys->yhat); in equation_system_get_matrix() [all …]
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H A D | system.h | 91 gretl_matrix *yhat; /* fitted values, all equations */ member
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/dports/finance/R-cran-plm/plm/man/ |
H A D | fixef.plm.Rd | 144 yhat <- as.numeric(gtw_u$model[ , 1] - gtw_u$residuals) # reference 147 all.equal(pred_effs + pred_beta, yhat) # TRUE
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/dports/math/R-cran-car/car/R/ |
H A D | qqPlot.R | 237 yhat <- na.omit(fitted.values(x)) functionVar 239 Y <- matrix(yhat, n, reps) + matrix(rnorm(n*reps, sd=S), n, reps)
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/dports/devel/R-cran-Hmisc/Hmisc/R/ |
H A D | areg.s | 158 yhat <- matxv(X,b) 159 r2orig <- cor(yhat, y)^2 164 er <- abs(y - yhat)
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/dports/math/py-statsmodels/statsmodels-0.13.1/examples/notebooks/ |
H A D | tsa_arma_0.ipynb | 272 "def mean_forecast_err(y, yhat):\n", 273 " return y.sub(yhat).mean()"
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/dports/math/py-spint/spint-1.0.7/spint/ |
H A D | gravity.py | 283 self.yhat = results.yhat
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