Train and run a measure on two different parts of a dataset.
Upon calling a TransferMeasure instance with a dataset the input dataset is passed to a Splitter to will generate dataset subsets. The first generated dataset is used to train an arbitray embedded `Measure. Once trained, the measure is then called with the second generated dataset and the result is returned.
Notes
Available conditional attributes:
(Conditional attributes enabled by default suffixed with +)
Parameters : | measure: Measure :
splitter: Splitter :
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 is always trained.