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Multivariate Pattern Analysis in Python |
Inheritance diagram for mvpa.clfs.smlr:
Sparse Multinomial Logistic Regression classifier.
Bases: mvpa.clfs.base.Classifier
Sparse Multinomial Logistic Regression Classifier.
This is an implementation of the SMLR algorithm published in Krishnapuram et al., 2005 (2005, IEEE Transactions on Pattern Analysis and Machine Intelligence). Be sure to cite that article if you use this classifier for your work.
Note
Available state variables:
(States enabled by default are listed with +)
Initialize an SMLR classifier.
Parameters: |
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Returns a sensitivity analyzer for SMLR.
Bases: mvpa.measures.base.Sensitivity
SensitivityAnalyzer that reports the weights SMLR trained on a given Dataset.
By default SMLR provides multiple weights per feature (one per label in training dataset). By default, all weights are combined into a single sensitivity value. Please, see the FeaturewiseDatasetMeasure constructor arguments how to custmize this behavior.
Note
Available state variables:
(States enabled by default are listed with +)
Initialize the analyzer with the classifier it shall use.
Parameters: |
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