mvpa2.misc.transformers

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
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
subtract_mean(x)	Subtract mean across first axis
sum_of_abs(x)	Sum of absolute values along the 2nd axis

Classes

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