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| author | RedRuM <44142765+zoj613@users.noreply.github.com> | 2019-08-21 18:33:35 +0200 |
|---|---|---|
| committer | RedRuM <44142765+zoj613@users.noreply.github.com> | 2019-08-21 18:33:35 +0200 |
| commit | c304397fd8a447a13741f4da2c6b37f5eee888f7 (patch) | |
| tree | 0693b471145623537a1a52d156548c7d5843e6d3 | |
| parent | 8b76dbe47c718d732492ab8583377ed3b2f5dc3b (diff) | |
| download | numpy-c304397fd8a447a13741f4da2c6b37f5eee888f7.tar.gz | |
DOC: Add version where new parameters are added
| -rw-r--r-- | numpy/random/generator.pyx | 5 |
1 files changed, 5 insertions, 0 deletions
diff --git a/numpy/random/generator.pyx b/numpy/random/generator.pyx index e7eb5133e..701240968 100644 --- a/numpy/random/generator.pyx +++ b/numpy/random/generator.pyx @@ -3368,12 +3368,17 @@ cdef class Generator: the slowest, while 'cholesky' is the fastest but less robust than the slowest method. The method `eigh` uses eigen decomposition to compute A and is faster than svd but slower than cholesky. + + .. versionadded:: 1.18.0 + use_factor : bool, optional If set to True then cov argument is treated as a precomputed factor matrix A such that `A @ A.T = cov`` holds true. This provides significant speedups because the factorization of cov is avoided. Note that when this argument is set to True, ``method`` is ignored. + .. versionadded:: 1.18.0 + Returns ------- out : ndarray |