mvpa2.measures.base.RegressionAsClassifierSensitivityAnalyzer

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

Set sensitivity analyzer output to have proper labels

Notes

Available conditional attributes:

• calling_time+: None
• clf_sensitivities: Stores sensitivities of the proxied classifier
• null_prob+: None
• null_t: None
• raw_results: None
• trained_dataset: None
• trained_nsamples+: None
• trained_targets+: None
• training_time+: None

(Conditional attributes enabled by default suffixed with +)

Methods

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

Methods