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PyMVPA: Python MultiVariate Pattern Analysis
Package mvpa :: Package clfs :: Module stats :: Class AdaptiveNullDist
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Class AdaptiveNullDist

source code

Adaptive distribution which adjusts parameters according to the data

WiP: internal implementation might change

Nested Classes [hide private]

Inherited from misc.state.ClassWithCollections: __metaclass__

Instance Methods [hide private]
 
fit(self, measure, wdata, vdata=None)
Cares about dimensionality of the feature space in measure		 source code
 
_adapt(self, nfeatures, measure, wdata, vdata=None) source code

Inherited from FixedNullDist: __init__, __repr__, cdf

Inherited from NullDist: p

Inherited from NullDist (private): _setTail

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]

Inherited from NullDist: tail

Inherited from NullDist (private): _ATTRIBUTE_COLLECTIONS

Inherited from misc.state.ClassWithCollections: _DEV__doc__, descr

Properties [hide private]

Inherited from object: __class__

Method Details [hide private]

fit(self, measure, wdata, vdata=None)

source code 
Cares about dimensionality of the feature space in measure
Overrides: NullDist.fit

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PyMVPA: Python MultiVariate Pattern Analysis
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