Package mdp :: Package utils :: Class MultipleCovarianceMatrices

Class MultipleCovarianceMatrices

Container class for multiple covariance matrices to easily
execute operations on all matrices at the same time.
Note: all operations are done in place where possible.

Instance Methods

[hide private]

__getitem__(self, item)

__init__(self, covs)
Insantiate with a sequence of covariance matrices.

copy(self)
Return a deep copy of the instance.

permute(self, indices)
Swap two columns and two rows of all matrices, whose indices are specified as [i,j].

rotate(self, angle, indices)
Rotate matrices by angle in the plane defined by indices [i,j].

symmetrize(self)
Symmetrize matrices: C -> (C+C^T)/2 .

transform(self, trans_matrix)
Apply a linear transformation to all matrices, defined by the transformation matrix.

weight(self, weights)
Apply a weighting factor to matrices.

Inherited from object: __delattr__, __getattribute__, __hash__, __new__, __reduce__, __reduce_ex__, __repr__, __setattr__, __str__

Properties

[hide private]

Inherited from object: __class__

Method Details

[hide private]

getitem(self, item)
(Indexing operator)

init(self, covs)
(Constructor)

Insantiate with a sequence of covariance matrices.

Overrides: object.__init__

copy(self)

Return a deep copy of the instance.

permute(self, indices)

Swap two columns and two rows of all matrices, whose indices are
specified as [i,j].

rotate(self, angle, indices)

Rotate matrices by angle in the plane defined by indices [i,j].

symmetrize(self)

Symmetrize matrices: C -> (C+C^T)/2 .

transform(self, trans_matrix)

Apply a linear transformation to all matrices, defined by the
transformation matrix.

weight(self, weights)

Apply a weighting factor to matrices.
Argument can be a sequence or a single value. In the latter case
the same weight is applied to all matrices.

Class MultipleCovarianceMatrices

__getitem__(self, item) (Indexing operator)

__init__(self, covs) (Constructor)

copy(self)

permute(self, indices)

rotate(self, angle, indices)

symmetrize(self)

transform(self, trans_matrix)

weight(self, weights)

getitem(self, item)
(Indexing operator)

init(self, covs)
(Constructor)