def predict(self, data_handle):
#predict_strings = self.learner_interface.predict_string(data_handle)
predict_strings = [x.predict_string(data_handle) for x in
self.learner_interface]
#get_pred_string = self.learner_interface.get_pred_string()
get_pred_string = [x.get_pred_string() for x in self.learner_interface]
prStatus = map( lambda c, ps: c.publish_exec(ps), self.coordinator,
predict_strings)
pr = unlist(map( lambda c, ps: c.publish_get(ps), self.coordinator,
get_pred_string))
return pr
def fit(self, data_handle):
train_strings = [x.fit_string(data_handle) for x in self.learner_interface]
tr = unlist(map(lambda c, ts: c.publish_exec(ts), self.coordinator,
train_strings))
return(tr)