def cross_validation(self, data_instances):
if not self.need_run:
return data_instances
kflod_obj = KFold()
cv_param = self._get_cv_param()
kflod_obj.run(cv_param, data_instances, self)
return data_instances
def run(model, data_instances, host_do_evaluate=False):
if not model.need_run:
return data_instances
kflod_obj = KFold()
cv_param = _get_cv_param(model)
kflod_obj.run(cv_param, data_instances, model, host_do_evaluate)
LOGGER.info("Finish KFold run")
return data_instances