Multivariate Pattern Analysis in Python

### Navigation

- index
- modules |
- modules |
- PyMVPA Home |
- Sitemap »

# mvpa2.clfs.gnb

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, keepdims]) | 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.

### Navigation

- index
- modules |
- modules |
- PyMVPA Home |
- Sitemap »