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mvpa2.measures.base.CombinedFeaturewiseMeasure

class mvpa2.measures.base.CombinedFeaturewiseMeasure(analyzers=None, sa_attr='combinations', **kwargs)

Set sensitivity analyzers to be merged into a single output

Notes

Available conditional attributes:

• calling_time+: Time (in seconds) it took to call the node
• null_prob+: None
• null_t: None
• raw_results: Computed results before invoking postproc. Stored only if postproc is not None.
• sensitivities: Sensitivities produced by each analyzer
• training_time+: Time (in seconds) it took to train the learner

(Conditional attributes enabled by default suffixed with +)

Initialize CombinedFeaturewiseMeasure

Parameters :

analyzers : list or None

List of analyzers to be used. There is no logic to populate such a list in __call__, so it must be either provided to the constructor or assigned to .analyzers prior calling

sa_attr : str

Name of the sa to be populated with the indexes of combinations

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

null_dist : instance of distribution estimator

The estimated distribution is used to assign a probability for a certain value of the computed measure.

auto_train : bool

Flag whether the learner will automatically train itself on the input dataset when called untrained.

force_train : bool

Flag whether the learner will enforce training on the input dataset upon every call.

space: str, optional :

Name of the ‘processing space’. The actual meaning of this argument heavily depends on the sub-class implementation. In general, this is a trigger that tells the node to compute and store information about the input data that is “interesting” in the context of the corresponding processing in the output dataset.

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

analyzers

Used analyzers