mvpa2.misc.transformersΒΆ
Simply functors that transform something.
Functions
| Absolute(x) | Returns the elementwise absolute of any argument. |
| Identity(x) | Return whatever it was called with. |
| first_axis_mean(x) | Mean computed along the first axis. |
| first_axis_sum_not_zero(x) | Sum computed over first axis of whether the values are not equal to zero. |
| grand_mean(x) | Just what the name suggests. |
| l1_normed(x[, norm, reverse]) | Norm the values so that L_1 norm (sum|x|) becomes norm |
| l2_normed(x[, norm, reverse]) | Norm the values so that regular vector norm becomes norm More verbose: Norm that the sum of the squared elements of the returned vector becomes norm. |
| max_of_abs(x) | Max of absolute values along the 2nd axis |
| one_minus(x) | Returns elementwise ‘1 - x’ of any argument. |
| rank_order(x[, reverse]) | Rank-order by value. |
| reverse_rank_order(x) | Convinience functor |
| second_axis_mean(x) | Mean across 2nd axis |
| sum_of_abs(x) | Sum of absolute values along the 2nd axis |
Classes
| ClassWithCollections([descr]) | Base class for objects which contain any known collection Classes inherited from this class gain ability to access collections and their items as simple attributes. |
| ConditionalAttribute([enabled]) | Simple container intended to conditionally store the value .. |
| DistPValue([sd, distribution, fpp, nbins]) | Converts values into p-values under vague and non-scientific assumptions .. |
| OverAxis(transformer[, axis]) | Helper to apply transformer over specific axis Initialize transformer wrapper with an axis. |
