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PyMVPA: Python MultiVariate Pattern Analysis
Package mvpa :: Package clfs :: Module gpr :: Class GPRWeights
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Class GPRWeights

source code

SensitivityAnalyzer that reports the weights GPR trained on a given Dataset.
Nested Classes [hide private]

Inherited from misc.state.ClassWithCollections: __metaclass__

Instance Methods [hide private]
 
_call(self, dataset)
Extract weights from GPR		 source code

Inherited from measures.base.Sensitivity: __call__, __init__, __repr__, feature_ids, untrain

Inherited from measures.base.Sensitivity (private): _setClassifier

Inherited from measures.base.FeaturewiseDatasetMeasure: combiner

Inherited from measures.base.FeaturewiseDatasetMeasure (private): _postcall

Inherited from measures.base.DatasetMeasure: null_dist, transformer

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]
  _LEGAL_CLFS = [GPR]
If Sensitivity is classifier specific, classes of classifiers should be listed in the list

Inherited from measures.base.Sensitivity: clf

Inherited from measures.base.FeaturewiseDatasetMeasure: base_sensitivities

Inherited from measures.base.DatasetMeasure: __doc__, null_prob, null_t, raw_results

Inherited from misc.state.ClassWithCollections: _DEV__doc__, descr

Instance Variables [hide private]

Inherited from measures.base.Sensitivity (private): _force_training

Properties [hide private]

Inherited from object: __class__

Method Details [hide private]

_call(self, dataset)

source code 
Extract weights from GPR
Overrides: measures.base.DatasetMeasure._call

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PyMVPA: Python MultiVariate Pattern Analysis
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