mvpa2.measures.base.RegressionAsClassifierSensitivityAnalyzer

Inheritance diagram of RegressionAsClassifierSensitivityAnalyzer

class mvpa2.measures.base.RegressionAsClassifierSensitivityAnalyzer(*args_, **kwargs_)

Set sensitivity analyzer output to have proper labels

Notes

Available conditional attributes:

  • calling_time+: Time (in seconds) it took to call the node
  • clf_sensitivities: Stores sensitivities of the proxied classifier
  • null_prob+: None
  • null_t: None
  • raw_results: Computed results before invoking postproc. Stored only if postproc is not None.
  • training_time+: Time (in seconds) it took to train the learner

(Conditional attributes enabled by default suffixed with +)

Initialize instance of ProxyClassifierSensitivityAnalyzer

Parameters :

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

NeuroDebian

NITRC-listed