Package mvpa :: Package tests :: Module test_rfe :: Class SillySensitivityAnalyzer

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# Class SillySensitivityAnalyzer

source code

Simple one which just returns xrange[-N/2, N/2], where N is the number of features

Nested Classes | [hide private]

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

Instance Methods | [hide private]

__init__(self, mult=1, **kwargs) Initialize | source code

__call__(self, dataset) Train linear SVM on `dataset` and extract weights from classifier. | source code

Inherited from `measures.base.FeaturewiseDatasetMeasure`: `__repr__`, `combiner`

Inherited from `measures.base.FeaturewiseDatasetMeasure` (private): `_call`, `_postcall`

Inherited from `measures.base.DatasetMeasure`: `null_dist`, `transformer`, `untrain`

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 `measures.base.FeaturewiseDatasetMeasure`: `base_sensitivities` Inherited from `measures.base.DatasetMeasure`: `__doc__`, `null_prob`, `null_t`, `raw_results` Inherited from `misc.state.ClassWithCollections`: `_DEV__doc__`, `descr`

Properties | [hide private]

Inherited from `object`: `__class__`

Method Details | [hide private]

### __init__(self, mult=1, **kwargs)
(Constructor)

source code

Initialize

Parameters:
  - `combiner` - The combiner is only applied if the computed featurewise dataset measure is more than one-dimensional. This is different from a transformer, which is always applied. By default, the sum of absolute values along the second axis is computed.
Overrides: object.__init__
  (inherited documentation)

### __call__(self, dataset)
(Call operator)

source code

Train linear SVM on `dataset` and extract weights from classifier.

Overrides: measures.base.DatasetMeasure.__call__