本文整理汇总了Python中numpy.dual.inv方法的典型用法代码示例。如果您正苦于以下问题：Python dual.inv方法的具体用法？Python dual.inv怎么用？Python dual.inv使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类numpy.dual的用法示例。
在下文中一共展示了dual.inv方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: _cov2wt
# 需要导入模块: from numpy import dual [as 别名]
# 或者: from numpy.dual import inv [as 别名]
def _cov2wt(self, cov):
""" Convert covariance matrix(-ices) to weights.
"""
from numpy.dual import inv
if len(cov.shape) == 2:
return inv(cov)
else:
weights = numpy.zeros(cov.shape, float)
for i in range(cov.shape[-1]): # n
weights[:,:,i] = inv(cov[:,:,i])
return weights 示例2: getI
# 需要导入模块: from numpy import dual [as 别名]
# 或者: from numpy.dual import inv [as 别名]
def getI(self):
"""
Returns the (multiplicative) inverse of invertible `self`.
Parameters
----------
None
Returns
-------
ret : matrix object
If `self` is non-singular, `ret` is such that ``ret * self`` ==
``self * ret`` == ``np.matrix(np.eye(self[0,:].size)`` all return
``True``.
Raises
------
numpy.linalg.LinAlgError: Singular matrix
If `self` is singular.
See Also
--------
linalg.inv
Examples
--------
>>> m = np.matrix('[1, 2; 3, 4]'); m
matrix([[1, 2],
[3, 4]])
>>> m.getI()
matrix([[-2. , 1. ],
[ 1.5, -0.5]])
>>> m.getI() * m
matrix([[ 1., 0.],
[ 0., 1.]])
"""
M, N = self.shape
if M == N:
from numpy.dual import inv as func
else:
from numpy.dual import pinv as func
return asmatrix(func(self))