Home       Trees       Indices       Help   
PyMVPA: Python MultiVariate Pattern Analysis
Package mvpa :: Package mappers :: Module wavelet :: Class _WaveletMapper
[hide private]
[frames] | no frames]

Class _WaveletMapper

source code

Generic class for Wavelet mappers (decomposition and packet)
Instance Methods [hide private]
 
__init__(self, dim=1, wavelet='sym4', mode='per', maxlevel=None)
Initialize _WaveletMapper mapper		 source code
 
forward(self, data)
Map data from the IN dataspace into OUT space.		 source code
 
reverse(self, data)
Reverse map data from OUT space into the IN space.		 source code
 
_forward(self, *args) source code
 
_reverse(self, *args) source code
 
getInSize(self)
Returns the number of original features.		 source code
 
getOutSize(self)
Returns the number of wavelet components.		 source code
 
selectOut(self, outIds)
Choose a subset of components...		 source code

Inherited from base.Mapper: __call__, __repr__, getInId, getMetric, getNeighbor, getNeighborIn, getNeighbors, isValidInId, isValidOutId, setMetric, train

Inherited from object: __delattr__, __format__, __getattribute__, __hash__, __new__, __reduce__, __reduce_ex__, __setattr__, __sizeof__, __str__, __subclasshook__

Class Variables [hide private]
  __doc__ = enhancedDocString('_WaveletMapper', locals(), Mapper)

Inherited from base.Mapper: metric, nfeatures

Instance Variables [hide private]
  _dim
Dimension to work along
  _maxlevel
Maximal level of decomposition. None for automatic
  _wavelet
Wavelet family to use
  _mode
Periodization mode
Properties [hide private]

Inherited from object: __class__

Method Details [hide private]

__init__(self, dim=1, wavelet='sym4', mode='per', maxlevel=None)
(Constructor)

source code 
Initialize _WaveletMapper mapper
Parameters:
  • dim (int or tuple of int) - dimensions to work across (for now just scalar value, ie 1D transformation) is supported
  • wavelet (basestring) - one from the families available withing pywt package
  • mode (basestring) - periodization mode
  • maxlevel (int or None) - number of levels to use. If None - automatically selected by pywt
Overrides: object.__init__

forward(self, data)

source code 
Map data from the IN dataspace into OUT space.
Overrides: base.Mapper.forward
(inherited documentation)

reverse(self, data)

source code 
Reverse map data from OUT space into the IN space.
Overrides: base.Mapper.reverse
(inherited documentation)

getInSize(self)

source code 
Returns the number of original features.
Overrides: base.Mapper.getInSize

getOutSize(self)

source code 
Returns the number of wavelet components.
Overrides: base.Mapper.getOutSize

selectOut(self, outIds)

source code 

Choose a subset of components...

just use MaskMapper on top?

Parameters:
  • outIds, sequence - Subset of ids of the current feature in OUT space to keep.
Overrides: base.Mapper.selectOut

   Home       Trees       Indices       Help   
PyMVPA: Python MultiVariate Pattern Analysis
Generated by Epydoc 3.0.1 on Mon Apr 23 23:09:29 2012 http://epydoc.sourceforge.net