mvpa2.clfs.meta.ProxyClassifierSensitivityAnalyzer

class mvpa2.clfs.meta.ProxyClassifierSensitivityAnalyzer(*args_, **kwargs_)

Set sensitivity analyzer output just to pass through

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 +)

Attributes

analyzer
auto_train	Whether the Learner performs automatic trainingwhen called untrained.
clf
descr	Description of the object if any
feature_ids	Return feature_ids used by the underlying classifier
force_train	Whether the Learner enforces training upon everycalled.
is_trained
null_dist	Return Null Distribution estimator
pass_attr	Which attributes of the dataset or self.ca to pass into result dataset upon call
postproc	Node to perform post-processing of results
space	Processing space name of this node

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

Attributes

analyzer
auto_train	Whether the Learner performs automatic trainingwhen called untrained.
clf
descr	Description of the object if any
feature_ids	Return feature_ids used by the underlying classifier
force_train	Whether the Learner enforces training upon everycalled.
is_trained
null_dist	Return Null Distribution estimator
pass_attr	Which attributes of the dataset or self.ca to pass into result dataset upon call
postproc	Node to perform post-processing of results
space	Processing space name of this node

Methods

analyzer