FeaturewiseMeasure that performs multivariate I-RELIEF algorithm. Online version.
This algorithm is exactly the one in the referenced paper (I-RELIEF-2 online), using weighted 1-norm and Exponential Kernel.
Notes
Available conditional attributes:
(Conditional attributes enabled by default suffixed with +)
Constructor of the IRELIEF class.
Parameters : | enable_ca : None or list of str
disable_ca : None or list of str
null_dist : instance of distribution estimator
auto_train : bool
force_train : bool
space: str, optional :
postproc : Node instance, optional
descr : str
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Indicate that this measure doesn’t have to be trained