mvpa2.generators.base.Repeater

class mvpa2.generators.base.Repeater(count, space='repetitons', **kwargs)

Node that yields the same dataset for a certain number of repetitions.

Each yielded dataset has a dataset attribute that identifies the iteration (see the space setting).

Notes

Available conditional attributes:

• calling_time+: Time (in seconds) it took to call the node
• raw_results: Computed results before invoking postproc. Stored only if postproc is not None.

(Conditional attributes enabled by default suffixed with +)

Methods

generate(ds)	Generate the desired number of repetitions.
get_postproc()	Returns the post-processing node or None.
get_space()	Query the processing space name of this node.
reset()
set_postproc(node)	Assigns a post-processing node Set to None to disable postprocessing.
set_space(name)	Set the processing space name of this node.

Parameters:

count : int

Positive integer that set the numbed of repetitions.

space : str

The name of the dataset attribute that will hold the actual repetiton in the yielded datasets.

enable_ca : None or list of str

Names of the conditional attributes which should be enabled in addition to the default ones

disable_ca : None or list of str

Names of the conditional attributes which should be disabled

postproc : Node instance, optional

Node to perform post-processing of results. This node is applied in __call__() to perform a final processing step on the to be result dataset. If None, nothing is done.

descr : str

Description of the instance

Methods

generate(ds)	Generate the desired number of repetitions.
get_postproc()	Returns the post-processing node or None.
get_space()	Query the processing space name of this node.
reset()
set_postproc(node)	Assigns a post-processing node Set to None to disable postprocessing.
set_space(name)	Set the processing space name of this node.

generate(ds)

Generate the desired number of repetitions.