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PyMVPA: Python MultiVariate Pattern Analysis
Package mvpa :: Package algorithms :: Module hyperalignment :: Class Hyperalignment
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Class Hyperalignment

source code

...

Given a set of datasets (may be just data) provide mapping of features into a common space

Nested Classes [hide private]

Inherited from misc.state.ClassWithCollections: __metaclass__

Instance Methods [hide private]
 
__init__(self, alignment=None, levels=3, combiner1='mean', combiner2='mean', **kwargs)
x.__init__(...) initializes x; see help(type(x)) for signature		 source code
 
__call__(self, data)
Estimate mappers for each data(set)		 source code

Inherited from misc.state.ClassWithCollections: __getattribute__, __new__, __repr__, __setattr__, __str__, reset

Inherited from object: __delattr__, __format__, __hash__, __reduce__, __reduce_ex__, __sizeof__, __subclasshook__

Class Variables [hide private]
  who_knows_maybe_something_to_store_optionally = StateVariable(...
  alignment = Parameter(None, doc= """... XXX If `None` (default...
  levels = Parameter(3, allowedtype= 'int', min= 1, doc= "Number...
  combiner1 = Parameter('mean', doc= "XXX ")
  combiner2 = Parameter('mean', doc= "XXX ")

Inherited from misc.state.ClassWithCollections: _DEV__doc__, descr

Properties [hide private]

Inherited from object: __class__

Method Details [hide private]

__init__(self, alignment=None, levels=3, combiner1='mean', combiner2='mean', **kwargs)
(Constructor)

source code 
x.__init__(...) initializes x; see help(type(x)) for signature
Overrides: object.__init__
(inherited documentation)

__call__(self, data)
(Call operator)

source code 

Estimate mappers for each data(set)

Parameters

data : list or tuple of dataset of data
XXX

Returns

A list of trained Mappers ... of length equal to len(data)


Class Variable Details [hide private]

who_knows_maybe_something_to_store_optionally

Value:
StateVariable(enabled= False, doc= """....""")

alignment

Value:
Parameter(None, doc= """... XXX If `None` (default) an instance of
            :class:`~mvpa.mappers.procrustean.ProcrusteanMapper` is
            used.""")

levels

Value:
Parameter(3, allowedtype= 'int', min= 1, doc= "Number of levels ....XX\
X ")

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PyMVPA: Python MultiVariate Pattern Analysis
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