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PyMVPA: Python MultiVariate Pattern Analysis
Package mvpa :: Package measures :: Module base :: Class StaticDatasetMeasure
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Class StaticDatasetMeasure

source code

A static (assigned) sensitivity measure.

Since implementation is generic it might be per feature or per whole dataset

Nested Classes [hide private]

Inherited from misc.state.ClassWithCollections: __metaclass__

Instance Methods [hide private]
 
__init__(self, measure=None, bias=None, *args, **kwargs)
Initialize.		 source code
 
_call(self, dataset)
Returns assigned sensitivity		 source code

Inherited from DatasetMeasure: __call__, __repr__, null_dist, transformer, untrain

Inherited from DatasetMeasure (private): _postcall

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

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

Class Variables [hide private]
  bias = property(fget= lambda self: self.__bias)

Inherited from DatasetMeasure: __doc__, null_prob, null_t, raw_results

Inherited from misc.state.ClassWithCollections: _DEV__doc__, descr

Properties [hide private]

Inherited from object: __class__

Method Details [hide private]

__init__(self, measure=None, bias=None, *args, **kwargs)
(Constructor)

source code 
Initialize.
Parameters:
  • measure - actual sensitivity to be returned
  • bias - optionally available bias
Overrides: object.__init__

_call(self, dataset)

source code 
Returns assigned sensitivity
Overrides: DatasetMeasure._call

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PyMVPA: Python MultiVariate Pattern Analysis
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