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PyMVPA: Python MultiVariate Pattern Analysis
Package mvpa :: Package clfs :: Module meta :: Class PredictionsCombiner
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Class PredictionsCombiner

source code

Base class for combining decisions of multiple classifiers
Nested Classes [hide private]

Inherited from misc.state.ClassWithCollections: __metaclass__

Instance Methods [hide private]
 
train(self, clfs, dataset)
PredictionsCombiner might need to be trained		 source code
 
__call__(self, clfs, dataset)
Call function		 source code

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

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

Class Variables [hide private]

Inherited from misc.state.ClassWithCollections: _DEV__doc__, descr

Properties [hide private]

Inherited from object: __class__

Method Details [hide private]

train(self, clfs, dataset)

source code 
PredictionsCombiner might need to be trained
Parameters:
  • clfs (list of Classifier) - List of classifiers to combine. Has to be classifiers (not pure predictions), since combiner might use some other state variables (value's) instead of pure prediction's
  • dataset (Dataset) - training data in this case

__call__(self, clfs, dataset)
(Call operator)

source code 
Call function
Parameters:
  • clfs (list of Classifier) - List of classifiers to combine. Has to be classifiers (not pure predictions), since combiner might use some other state variables (value's) instead of pure prediction's

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PyMVPA: Python MultiVariate Pattern Analysis
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