cma.transformations.Rotation

class documentation

class Rotation(object):

implement an orthogonal linear transformation for each dimension.

By default each Rotation instance provides a different "random" but fixed rotation. This class is used to implement non-separable test functions, most conveniently via Rotated.

Example:

>>> import cma, numpy as np
>>> R = cma.transformations.Rotation()
>>> R2 = cma.transformations.Rotation() # another rotation
>>> x = np.array((1,2,3))
>>> list(np.round(R(R(x), inverse=1), 9))
[1.0, 2.0, 3.0]

See Also
`Rotated`

Method	`__call__`	Rotates the input array `x` with a fixed rotation matrix (`self.dicMatrices[len(x)]`)
Method	`__init__`	same `seed` means same rotation, by default a random but fixed once and for all rotation, different for each instance
Instance Variable	`dicMatrices`	Undocumented
Instance Variable	`seed`	Undocumented
Instance Variable	`state`	Undocumented

def __call__(self, x, inverse=False, **kwargs): ¶

Rotates the input array x with a fixed rotation matrix (self.dicMatrices[len(x)])

def __init__(self, seed=None): ¶

same seed means same rotation, by default a random but fixed once and for all rotation, different for each instance

dicMatrices: dict = ¶

Undocumented

seed = ¶

Undocumented

state = ¶

Undocumented