/dports/graphics/py-scikit-image/scikit-image-0.19.0/skimage/measure/ |
H A D | fit.py | 89 _, _, v = np.linalg.svd(data, full_matrices=False)
|
/dports/math/py-jax/jax-0.2.9/jax/experimental/jax2tf/ |
H A D | jax2tf.py | 2080 def _qr(operand, full_matrices): argument 2081 return tf.linalg.qr(operand, full_matrices=full_matrices) 2085 def _svd(operand, full_matrices, compute_uv): argument 2086 result = tf.linalg.svd(operand, full_matrices, compute_uv)
|
/dports/devel/py-numba/numba-0.51.2/numba/tests/ |
H A D | test_linalg.py | 357 def svd_matrix(a, full_matrices=1): argument 358 return np.linalg.svd(a, full_matrices) 1192 full_matrices = (True, False) 1196 product(sizes, self.dtypes, full_matrices, 'FC'): 1199 check(a, full_matrices=fmat)
|
/dports/science/py-scikit-learn/scikit-learn-1.0.2/sklearn/linear_model/ |
H A D | _bayes.py | 283 U, S, Vh = linalg.svd(X, full_matrices=False)
|
H A D | _ridge.py | 230 U, s, Vt = linalg.svd(X, full_matrices=False) 1780 U, singvals, _ = linalg.svd(X, full_matrices=0)
|
/dports/science/py-scikit-learn/scikit-learn-1.0.2/sklearn/utils/ |
H A D | extmath.py | 407 Uhat, s, Vt = linalg.svd(B, full_matrices=False)
|
/dports/science/py-scipy/scipy-1.7.1/scipy/optimize/ |
H A D | minpack.py | 811 _, s, VT = svd(res.jac, full_matrices=False)
|
/dports/astro/py-astropy/astropy-5.0/astropy/units/quantity_helper/ |
H A D | function_helpers.py | 947 def svd(a, full_matrices=True, compute_uv=True, hermitian=False): argument 952 return ((a.view(np.ndarray), full_matrices, compute_uv, hermitian),
|
/dports/misc/mxnet/incubator-mxnet-1.9.0/python/mxnet/ |
H A D | initializer.py | 577 u, _, v = np.linalg.svd(tmp, full_matrices=False) # pylint: disable=invalid-name
|
/dports/misc/py-mxnet/incubator-mxnet-1.9.0/python/mxnet/ |
H A D | initializer.py | 577 u, _, v = np.linalg.svd(tmp, full_matrices=False) # pylint: disable=invalid-name
|
/dports/misc/orange3/orange3-3.29.1/Orange/widgets/unsupervised/ |
H A D | owcorrespondence.py | 405 Ub, D, Vb = np.linalg.svd(B, full_matrices=False)
|
/dports/science/py-molmod/molmod-1.4.8/molmod/ |
H A D | minimizer.py | 1162 U, S, Vt = np.linalg.svd(normals, full_matrices=False) 1289 U, S, Vt = np.linalg.svd(normals_select, full_matrices=False)
|
/dports/math/py-apgl/apgl-0.8.1/apgl/util/test/ |
H A D | UtilTest.py | 252 P, s, Q = numpy.linalg.svd(A, full_matrices=False)
|
/dports/devel/py-dask/dask-2021.11.2/dask/array/tests/ |
H A D | test_linalg.py | 879 u, s, v = np.linalg.svd(x, full_matrices=False) 957 nu, ns, nv = np.linalg.svd(x, full_matrices=False)
|
/dports/devel/py-numba/numba-0.51.2/numba/np/ |
H A D | linalg.py | 1278 def svd_impl(a, full_matrices=1): argument 1294 def svd_impl(a, full_matrices=1): argument 1308 if full_matrices:
|
/dports/science/py-scikit-learn/scikit-learn-1.0.2/sklearn/decomposition/ |
H A D | _dict_learning.py | 634 code, S, dictionary = linalg.svd(X, full_matrices=False)
|
/dports/math/py-apgl/apgl-0.8.1/apgl/util/ |
H A D | Util.py | 477 P, sigma, Qh = scipy.linalg.svd(A, full_matrices=False)
|
/dports/math/py-statsmodels/statsmodels-0.13.1/statsmodels/multivariate/ |
H A D | pca.py | 447 u, s, v = np.linalg.svd(x, full_matrices=self._svd_full_matrices)
|
/dports/math/py-statsmodels/statsmodels-0.13.1/docs/source/release/ |
H A D | version0.13.0.rst | 357 - Added the option `full_matrices=False` in the PCA method (:pr:`7329`) 572 - :pr:`7329`: ENH: Added the option `full_matrices=False` in the PCA method
|
/dports/science/py-scikit-learn/scikit-learn-1.0.2/sklearn/decomposition/tests/ |
H A D | test_pca.py | 652 _, s, _ = np.linalg.svd(X, full_matrices=True)
|
/dports/biology/py-deeptools/deepTools-3.5.1/deeptools/ |
H A D | correlation.py | 630 …U, s, Vh = np.linalg.svd(m2, full_matrices=False, compute_uv=True) # Is full_matrices ever needed?
|
/dports/math/xtensor-blas/xtensor-blas-0.20.0/include/xtensor-blas/ |
H A D | xlinalg.hpp | 1305 auto svd(const xexpression<T>& A, bool full_matrices = true, bool compute_uv = true) in svd() argument 1314 else if (!full_matrices && compute_uv) in svd()
|
/dports/science/py-scipy/scipy-1.7.1/scipy/linalg/ |
H A D | basic.py | 1316 u, s, vh = decomp_svd.svd(a, full_matrices=False, check_finite=False)
|
/dports/devel/py-qutip/qutip-4.6.2/qutip/ |
H A D | steadystate.py | 727 u, s, vh = svd(L.full(), full_matrices=False)
|
/dports/audio/guitarix-lv2/guitarix-0.43.1/tools/ampsim/DK/ |
H A D | dk_simulator.py | 487 U, s, V = la.svd(a, full_matrices=False) 535 U, SV, V = la.svd(M, full_matrices=False) 553 U, SV, V = la.svd(M, full_matrices=False)
|