| /dports/devel/hyperscan/boost_1_75_0/boost/math/statistics/ |
| H A D | linear_regression.hpp | 34 auto [mu_x, mu_y, cov_xy] = boost::math::statistics::means_and_covariance(x, y); in simple_ordinary_least_squares()
43 Real c1 = cov_xy/var_x; in simple_ordinary_least_squares()
63 auto [mu_x, mu_y, cov_xy] = boost::math::statistics::means_and_covariance(x, y); in simple_ordinary_least_squares_with_R_squared()
72 Real c1 = cov_xy/var_x; in simple_ordinary_least_squares_with_R_squared()
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| /dports/math/stanmath/math-4.2.0/lib/boost_1.75.0/boost/math/statistics/ |
| H A D | linear_regression.hpp | 34 auto [mu_x, mu_y, cov_xy] = boost::math::statistics::means_and_covariance(x, y); in simple_ordinary_least_squares()
43 Real c1 = cov_xy/var_x; in simple_ordinary_least_squares()
63 auto [mu_x, mu_y, cov_xy] = boost::math::statistics::means_and_covariance(x, y); in simple_ordinary_least_squares_with_R_squared()
72 Real c1 = cov_xy/var_x; in simple_ordinary_least_squares_with_R_squared()
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| /dports/science/py-scipy/scipy-1.7.1/scipy/_lib/boost/boost/math/statistics/ |
| H A D | linear_regression.hpp | 34 auto [mu_x, mu_y, cov_xy] = boost::math::statistics::means_and_covariance(x, y); in simple_ordinary_least_squares()
43 Real c1 = cov_xy/var_x; in simple_ordinary_least_squares()
63 auto [mu_x, mu_y, cov_xy] = boost::math::statistics::means_and_covariance(x, y); in simple_ordinary_least_squares_with_R_squared()
72 Real c1 = cov_xy/var_x; in simple_ordinary_least_squares_with_R_squared()
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| /dports/devel/R-cran-BH/BH/inst/include/boost/math/statistics/ |
| H A D | linear_regression.hpp | 41 Real cov_xy = std::get<2>(temp);
50 Real c1 = cov_xy/var_x;
73 Real cov_xy = std::get<2>(temp);
82 Real c1 = cov_xy/var_x;
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| /dports/science/py-scipy/scipy-1.7.1/scipy/stats/ |
| H A D | _stats.pyx | 387 cov_xy[k, l] += a * b
397 cdef _covar_map(float64_t[:, :] cov_xy, intp_t nx, intp_t ny): argument
402 cov_xy[k+1, l+1] += (cov_xy[k+1, l] + cov_xy[k, l+1] - cov_xy[k, l])
404 return np.asarray(cov_xy)
418 cdef ndarray cov_xy = np.zeros((nx, ny))
425 cov_xy, expectx, expecty)
427 cov_xy[:, 0] = np.cumsum(cov_xy[:, 0])
430 cov_xy[0, :] = np.cumsum(cov_xy[0, :])
433 cov_xy = _covar_map(cov_xy, nx, ny)
435 cov_xy = cov_xy - ((expectx.reshape(-1, 1) @ expecty.reshape(-1, 1).T) / n**2)
[all …]
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| /dports/devel/efl/efl-1.25.1/src/modules/evas/image_savers/tgv/ |
| H A D | evas_image_save_tgv.c | 188 double mean_x = 0, mean_y = 0, var_x = 0, var_y = 0, cov_xy = 0; in evas_image_save_file_tgv() local
467 … cov_xy = cov_xy + ((double)(todo[k] - mean_x) * (double)(done[k] - mean_y)); in evas_image_save_file_tgv()
522 double ssim = (2 * mean_x * mean_y + c1) * ( 2 * cov_xy + c2) / temp; in evas_image_save_file_tgv()
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| /dports/sysutils/fluent-bit/fluent-bit-1.8.11/src/stream_processor/ |
| H A D | flb_sp_aggregate_func.c | 272 double cov_xy;
283 cov_xy = (forecast->sigma_xy / (double) aggr_node->records) - mean_x * mean_y;
286 b1 = cov_xy / var_x;
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| /dports/biology/gemma/GEMMA-0.98.3/src/ |
| H A D | vc.cpp | 1220 double a, b, x, y, n, var_y, var_x, mean_y, mean_x, cov_xy, crt_factor; in ReadFile_cor() local
1231 cov_xy = 0; in ReadFile_cor()
1246 cov_xy += x * y; in ReadFile_cor()
1257 cov_xy /= n; in ReadFile_cor()
1260 cov_xy -= mean_x * mean_y; in ReadFile_cor()
1261 b = cov_xy / var_x; in ReadFile_cor()
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| /dports/misc/mxnet/incubator-mxnet-1.9.0/python/mxnet/ |
| H A D | metric.py | 1603 cov_xy = numpy.sum(i * n - x * y)
1604 return cov_xy / (cov_xx * cov_yy) ** 0.5
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| /dports/misc/py-mxnet/incubator-mxnet-1.9.0/python/mxnet/ |
| H A D | metric.py | 1603 cov_xy = numpy.sum(i * n - x * y)
1604 return cov_xy / (cov_xx * cov_yy) ** 0.5
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