def __init__(self, node, **kwargs):
super(CVBestSearchRefit, self).__init__(estimator=None)
####?????
score = kwargs.pop("score") if "score" in kwargs else 'y/test/score_recall_mean'
arg_max = kwargs.pop("arg_max") if "arg_max" in kwargs else True
from epac.workflow.splitters import CV
#methods = Methods(*tasks)
self.cv = CV(node=node, reducer=ClassificationReport(keep=False), **kwargs)
self.score = score
self.arg_max = arg_max
def __init__(self, node, **kwargs):
super(CVBestSearchRefit, self).__init__(wrapped_node=None)
#### 'y/test/score_recall_mean'
default_score = "y" + conf.SEP + \
conf.TEST + conf.SEP + \
conf.SCORE_RECALL_MEAN
score = kwargs.pop("score") if "score" in kwargs else default_score
arg_max = kwargs.pop("arg_max") if "arg_max" in kwargs else True
from epac.workflow.splitters import CV
#methods = Methods(*tasks)
self.cv = CV(node=node,
reducer=ClassificationReport(keep=False),
**kwargs)
self.score = score
self.arg_max = arg_max
