ngroups : int
Number of groups to split the attribute into.
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
count : None or int
Desired number of splits to be output. It is limited by the
number of splits possible for a given splitter
(e.g. OddEvenSplitter can have only up to 2 splits). If None,
all splits are output (default).
selection_strategy : str
If count is not None, possible strategies are possible:
‘first’: First count splits are chosen;
‘random’: Random (without replacement) count splits are chosen;
‘equidistant’: Splits which are equidistant from each other.
attr : str
Sample attribute used to determine splits.
space : str
Name of the to be created sample attribute defining the partitions.
In addition, a dataset attribute named ‘space_set’ will be added
to each output dataset, indicating the number of the partition set
it corresponds to.
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
|