Home

Trees

Indices

Help

Package mvpa :: Package clfs :: Module plr :: Class PLR

[frames] | no frames]

Class PLR

Penalized logistic regression Classifier.

Nested Classes

Inherited from misc.state.ClassWithCollections: __metaclass__

Instance Methods

__init__(self, lm=1, criterion=1, reduced=False, maxiter=20, **kwargs)
Initialize a penalized logistic regression analysis

source code

__repr__(self)
String summary over the object

source code

_train(self, data)
Train the classifier using data (Dataset). source code

__f(self, y)
This is the logistic function f, that is used for determination of the vector w

source code

_predict(self, data)
Predict the class labels for the provided data

source code

Inherited from base.Classifier: __str__, clone, getSensitivityAnalyzer, isTrained, predict, repredict, retrain, summary, train, trained, untrain

Inherited from base.Classifier (private): _getFeatureIds, _postpredict, _posttrain, _prepredict, _pretrain, _regressionIsBogus, _setRetrainable

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

Inherited from object: __delattr__, __hash__, __reduce__, __reduce_ex__

Class Variables

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

Inherited from base.Classifier (private): _clf_internals

Inherited from misc.state.ClassWithCollections: descr

Properties

Inherited from object: __class__

Method Details

init(self, lm=1, criterion=1, reduced=False, maxiter=20, **kwargs)
(Constructor)

Initialize a penalized logistic regression analysis

Parameters:

lm (int) - the penalty term lambda.
criterion (int) - the criterion applied to judge convergence.
reduced (Bool) - if not False, the rank of the data is reduced before performing the calculations. In that case, reduce is taken as the fraction of the first singular value, at which a dimension is not considered significant anymore. A reasonable criterion is reduced=0.01
maxiter (int) - maximum number of iterations. If no convergence occurs after this number of iterations, an exception is raised.

Overrides: base.Classifier.__init__

repr(self)
(Representation operator)

String summary over the object

Overrides: base.Classifier.__repr__

_train(self, data)

Train the classifier using data (Dataset).

Overrides: base.Classifier._train

_predict(self, data)

Predict the class labels for the provided data

Returns a list of class labels

Overrides: base.Classifier._predict

Home

Trees

Indices

Help