mvpa2.mappers.fxΒΆ

Transform data by applying a function along samples or feature axis.

Inheritance diagram of mvpa2.mappers.fx

Functions

absolute_features() Returns a mapper that converts features into absolute values.
argsort(seq[, reverse]) Return indices to get sequence sorted
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.
merge2first(attrs) Compress a sequence by discard all but the first element
subtract_mean_feature([attrfx]) Subtract mean of features across samples.
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.
BinomialProportionCI(**kwargs) Compute binomial proportion confidence intervals
FxMapper(axis, fx[, fxargs, uattrs, attrfx, ...]) Apply a custom transformation to (groups of) samples or features.
MeanRemoval([in_place]) Subtract sample mean from features.