Package mvpa :: Package measures :: Module base :: Class FeatureSelectionClassifierSensitivityAnalyzer

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# Class FeatureSelectionClassifierSensitivityAnalyzer

source code

Set sensitivity analyzer output be reverse mapped using mapper of the slave classifier

Nested Classes | [hide private]

Inherited from `misc.state.ClassWithCollections`: `__metaclass__`

Instance Methods | [hide private]

_call(self, dataset) Computes a per-feature-measure on a given Dataset. | source code

Inherited from `ProxyClassifierSensitivityAnalyzer`: `__init__`, `untrain`

Inherited from `Sensitivity`: `__call__`, `__repr__`, `feature_ids`

Inherited from `Sensitivity` (private): `_setClassifier`

Inherited from `FeaturewiseDatasetMeasure`: `combiner`

Inherited from `FeaturewiseDatasetMeasure` (private): `_postcall`

Inherited from `DatasetMeasure`: `null_dist`, `transformer`

Inherited from `misc.state.ClassWithCollections`: `__getattribute__`, `__new__`, `__setattr__`, `__str__`, `reset`

Inherited from `object`: `__delattr__`, `__format__`, `__hash__`, `__reduce__`, `__reduce_ex__`, `__sizeof__`, `__subclasshook__`

Class Variables | [hide private]

Inherited from `ProxyClassifierSensitivityAnalyzer`: `analyzer`, `clf_sensitivities` Inherited from `Sensitivity`: `clf` Inherited from `Sensitivity` (private): `_LEGAL_CLFS` Inherited from `FeaturewiseDatasetMeasure`: `base_sensitivities` Inherited from `DatasetMeasure`: `__doc__`, `null_prob`, `null_t`, `raw_results` Inherited from `misc.state.ClassWithCollections`: `_DEV__doc__`, `descr`

Instance Variables | [hide private]

Inherited from `Sensitivity` (private): `_force_training`

Properties | [hide private]

Inherited from `object`: `__class__`

Method Details | [hide private]

### _call(self, dataset)

source code

Computes a per-feature-measure on a given Dataset.

Behaves like a DatasetMeasure, but computes and returns a 1d ndarray with one value per feature.

Overrides: DatasetMeasure._call
  (inherited documentation)