SensitivityAnalyzer that reports the weights SMLR trained on a given Dataset.
By default SMLR provides multiple weights per feature (one per label in training dataset). By default, all weights are combined into a single sensitivity value. Please, see the FeaturewiseMeasure constructor arguments how to custmize this behavior.
Notes
Available conditional attributes:
(Conditional attributes enabled by default suffixed with +)
Initialize the analyzer with the classifier it shall use.
Parameters : | clf : Classifier
force_train : bool
enable_ca : None or list of str
disable_ca : None or list of str
null_dist : instance of distribution estimator
auto_train : bool
space: str, optional :
postproc : Node instance, optional
descr : str
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