Package mvpa :: Package clfs :: Module ridge :: Class RidgeReg
[hide private]
[frames] | no frames]

Class RidgeReg

source code


Ridge regression Classifier.

This ridge regression adds an intercept term so your labels do not have to be zero-centered.

Nested Classes [hide private]

Inherited from misc.state.Stateful: __metaclass__

Instance Methods [hide private]
 
__init__(self, lm=None, **kwargs)
Initialize a ridge regression analysis.
source code
 
__repr__(self)
String summary of the object
source code
 
_train(self, data)
Train the classifier using data (Dataset).
source code
 
_predict(self, data)
Predict the output for the provided data.
source code

Inherited from base.Classifier: __str__, getSensitivityAnalyzer, isTrained, predict, regression, train, train2predict, trained, untrain

Inherited from misc.state.Stateful: __getattribute__, __setattr__, reset

Inherited from object: __delattr__, __hash__, __new__, __reduce__, __reduce_ex__

Class Variables [hide private]

Inherited from base.Classifier: feature_ids, predicting_time, predictions, retrainable, trained_dataset, trained_labels, training_confusion, training_time, values

Inherited from base.Classifier (private): _clf_internals

Instance Variables [hide private]

Inherited from base.Classifier (private): _regression, _train2predict

Properties [hide private]

Inherited from misc.state.Stateful: descr

Inherited from object: __class__

Method Details [hide private]

__init__(self, lm=None, **kwargs)
(Constructor)

source code 
Initialize a ridge regression analysis.
Parameters:
  • lm (float) - the penalty term lambda. (Defaults to .05*nFeatures)
Overrides: object.__init__

__repr__(self)
(Representation operator)

source code 
String summary of the object
Overrides: object.__repr__

_train(self, data)

source code 
Train the classifier using data (Dataset).
Overrides: base.Classifier._train

_predict(self, data)

source code 
Predict the output for the provided data.
Overrides: base.Classifier._predict