This content refers to an unreleased development version of PyMVPA
To provide the most recent news and documentation www.pymvpa.org reflects the
development 0.6 series of PyMVPA. If you are interested in the
documentation of the previous stable 0.4 series of PyMVPA, please
visit v04.pymvpa.org.
mvpa.mappers.fxΒΆ
Transform data by applying a function along samples or feature axis.
Functions
| absolute_features() | Returns a mapper that converts features into absolute values. |
| array_whereequal(a, x) | Reliable comparison for numpy.ndarray numpy.ndarray (as of 1.5.0.dev) fails to compare tuples in array of dtype object, e.g. |
| borrowdoc(cls[, methodname]) | Return a decorator to borrow docstring from another cls.`methodname` |
| max_of_abs(x) | Max of absolute values along the 2nd axis |
| maxofabs_sample() | Returns a mapper that finds max of absolute values of all samples. |
| mean_feature([attrfx]) | Returns a mapper that computes the mean feature of a dataset. |
| mean_group_feature(attrs[, attrfx]) | Returns a mapper that computes the mean features of unique feature groups. |
| mean_group_sample(attrs[, attrfx]) | Returns a mapper that computes the mean samples of unique sample groups. |
| mean_sample([attrfx]) | Returns a mapper that computes the mean sample of a dataset. |
| sum_of_abs(x) | Sum of absolute values along the 2nd axis |
| sum_sample([attrfx]) | Returns a mapper that computes the sum sample of a dataset. |
| sumofabs_sample() | Returns a mapper that returns the sum of absolute values of all samples. |
Classes
| BinaryFxNode(fx, space, **kwargs) | Extract a dataset attribute and call a function with it and the samples. |
| Dataset(samples[, sa, fa, a]) | Generic storage class for datasets with multiple attributes. |
| FxMapper(axis, fx[, fxargs, uattrs, attrfx]) | Apply a custom transformation to (groups of) samples or features. |
| Mapper(**kwargs) | Basic mapper interface definition. |
| Node(**kwargs[, space, postproc]) | Common processing object. |
