Multivariate Pattern Analysis in Python

### Navigation

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

# mvpa2.mappers.flatten

Data mapper

Functions

`accepts_dataset_as_samples`(fx) | Decorator to extract samples from Datasets.
`is_in_volume`(coord, shape) | For given coord check if it is within a specified volume size.
`mask_mapper`([mask, shape, space]) | Factory method to create a chain of Flatten+StaticFeatureSelection Mappers :Parameters: mask : None or array an array in the original dataspace and its nonzero elements are used to define the features included in the dataset.

Classes

`ChainMapper`(nodes, **kwargs) | Class that amends ChainNode with a mapper-like interface.
`FlattenMapper`([shape, maxdims]) | Reshaping mapper that flattens multidimensional arrays into 1D vectors.
`Mapper`(**kwargs) | Basic mapper interface definition.
`StaticFeatureSelection`(slicearg[, dshape, ...]) | Feature selection by static slicing argument.

### Navigation

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