combiner (Functor) - 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__

repr(self, prefixes=None)
(Representation operator)

source code

String representation of DatasetMeasure

Includes only arguments which differ from default ones

Parameters:

fullname - Either to include full name of the module
prefixes - What other prefixes to prepend to list of arguments

Overrides: object.__repr__

(inherited documentation)

_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

_postcall(self, dataset, result)

source code

Adjusts per-feature-measure for computed `result`


TODO: overlaps in what it does heavily with
 CombinedSensitivityAnalyzer, thus this one might make use of
 CombinedSensitivityAnalyzer yoh thinks, and here
 base_sensitivities doesn't sound appropriate.
 MH: There is indeed some overlap, but also significant differences.
     This one operates on a single sensana and combines over second
     axis, CombinedFeaturewiseDatasetMeasure uses first axis.
     Additionally, 'Sensitivity' base class is
     FeaturewiseDatasetMeasures which would have to be changed to
     CombinedFeaturewiseDatasetMeasure to deal with stuff like
     SMLRWeights that return multiple sensitivity values by default.
     Not sure if unification of both (and/or removal of functionality
     here does not lead to an overall more complicated situation,
     without any real gain -- after all this one works ;-)

Overrides: DatasetMeasure._postcall

combiner(self)

source code

Return combiner

Decorators:

@property

Class Variable Details

[hide private]

base_sensitivities

Value:

StateVariable(enabled= False, doc= "Stores basic sensitivities if the 
sensitivity "+ "relies on combining multiple ones")

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Class FeaturewiseDatasetMeasure

__init__(self, combiner=SecondAxisSumOfAbs, **kwargs) (Constructor)

__repr__(self, prefixes=None) (Representation operator)

_call(self, dataset)

_postcall(self, dataset, result)

combiner(self)

base_sensitivities

init(self, combiner=SecondAxisSumOfAbs, **kwargs)
(Constructor)

repr(self, prefixes=None)
(Representation operator)