includes : list
List of tuples rules (attribute, uvalues) where all
listed ‘uvalues’ must be present in the dataset.
Matching samples or features get selected to proceed to the
next rule in the list. If at some point not all listed
values of the attribute are present, dataset does not pass
through the ‘Sifter’.
uvalues might also be a dict, see example above.
enable_ca : None or list of str
Names of the conditional attributes which should be enabled in addition
to the default ones
disable_ca : None or list of str
Names of the conditional attributes which should be disabled
space: str, optional :
Name of the ‘processing space’. The actual meaning of this argument
heavily depends on the sub-class implementation. In general, this is
a trigger that tells the node to compute and store information about
the input data that is “interesting” in the context of the
corresponding processing in the output dataset.
postproc : Node instance, optional
Node to perform post-processing of results. This node is applied
in __call__() to perform a final processing step on the to be
result dataset. If None, nothing is done.
descr : str
Description of the instance
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