Searched refs:w_mat (Results 1 – 9 of 9) sorted by relevance
/dports/math/stanmath/math-4.2.0/stan/math/rev/fun/ |
H A D | csr_matrix_times_vector.hpp | 18 Eigen::Map<Eigen::SparseMatrix<var, Eigen::RowMajor>> w_mat( in update_w() local 20 for (int k = 0; k < w_mat.outerSize(); ++k) { in update_w() 22 it(w_mat, k); in update_w() 34 Eigen::Map<Eigen::SparseMatrix<double, Eigen::RowMajor>> w_mat( in update_w() local 36 for (int k = 0; k < w_mat.outerSize(); ++k) { in update_w() 38 it(w_mat, k); in update_w()
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/dports/misc/mxnet/incubator-mxnet-1.9.0/example/gluon/sn_gan/ |
H A D | model.py | 58 w_mat = nd.reshape(w, [w.shape[0], -1]) 64 _v = nd.L2Normalization(nd.dot(_u, w_mat)) 65 _u = nd.L2Normalization(nd.dot(_v, w_mat.T)) 67 sigma = nd.sum(nd.dot(_u, w_mat) * _v)
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/dports/misc/py-mxnet/incubator-mxnet-1.9.0/example/gluon/sn_gan/ |
H A D | model.py | 58 w_mat = nd.reshape(w, [w.shape[0], -1]) 64 _v = nd.L2Normalization(nd.dot(_u, w_mat)) 65 _u = nd.L2Normalization(nd.dot(_v, w_mat.T)) 67 sigma = nd.sum(nd.dot(_u, w_mat) * _v)
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/dports/science/py-scikit-learn/scikit-learn-1.0.2/sklearn/metrics/ |
H A D | _classification.py | 651 w_mat = np.ones([n_classes, n_classes], dtype=int) 652 w_mat.flat[:: n_classes + 1] = 0 654 w_mat = np.zeros([n_classes, n_classes], dtype=int) 655 w_mat += np.arange(n_classes) 657 w_mat = np.abs(w_mat - w_mat.T) 659 w_mat = (w_mat - w_mat.T) ** 2 663 k = np.sum(w_mat * confusion) / np.sum(w_mat * expected)
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/dports/math/stanmath/math-4.2.0/stan/math/prim/fun/ |
H A D | csr_matrix_times_vector.hpp | 96 w_mat(m, n, w_ref.size(), u_zero_based.data(), v_zero_based.data(), in csr_matrix_times_vector() local 98 return w_mat * b; in csr_matrix_times_vector()
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/dports/math/py-pystan/pystan-2.19.0.0/pystan/stan/lib/stan_math/stan/math/prim/mat/prob/ |
H A D | multi_gp_lpdf.hpp | 81 Eigen::Matrix<T_w, Eigen::Dynamic, Eigen::Dynamic> w_mat(w.asDiagonal()); in multi_gp_lpdf() local 83 lp -= 0.5 * trace_gen_inv_quad_form_ldlt(w_mat, ldlt_Sigma, yT); in multi_gp_lpdf()
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/dports/science/py-nilearn/nilearn-0.8.1/nilearn/connectome/ |
H A D | connectivity_matrices.py | 169 logs = [_map_eigenvalues(np.log, w_mat) for w_mat in whitened_matrices]
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/dports/games/crafty/crafty-25.2_1/ |
H A D | evaluate.c | 252 int w_mat = (2 * TotalPieces(white, rook)) + TotalPieces(white, in Evaluate() local 256 cutoff = 72 + (w_mat + b_mat) * 8 + abs(w_mat - b_mat) * 16; in Evaluate()
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/dports/science/py-nilearn/nilearn-0.8.1/nilearn/connectome/tests/ |
H A D | test_connectivity_matrices.py | 48 logs = [_map_eigenvalues(np.log, w_mat) for w_mat in whitened_mats]
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