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mvpa2.clfs.gnbΒΆ
Gaussian Naive Bayes Classifier
Basic implementation of Gaussian Naive Bayes classifier.
Functions
| accepts_dataset_as_samples(fx) | Decorator to extract samples from Datasets. |
| dot(a, b[, out]) | Dot product of two arrays. |
| ones(shape[, dtype, order]) | Return a new array of given shape and type, filled with ones. |
| sum(a[, axis, dtype, out]) | Sum of array elements over a given axis. |
| zeros(shape[, dtype, order]) | Return a new array of given shape and type, filled with zeros. |
Classes
| Classifier([space]) | Abstract classifier class to be inherited by all classifiers .. |
| ConditionalAttribute([enabled]) | Simple container intended to conditionally store the value |
| GNB(**kwargs) | Gaussian Naive Bayes Classifier. |
| Parameter(default[, ro, index, value, name, doc]) | This class shall serve as a representation of a parameter. |
