def _execute(self, data):
result = RMM2Node._execute(self, data)
label = result.label
prediction = result.prediction + 1
if self.outer_boundary and \
prediction < (-1.0 * self.range + 1) * 0.5:
prediction = (-1.0 * self.range + 1) - prediction
if prediction > 0:
label = self.classes[1]
elif 0 >= prediction:
label = self.classes[0]
return PredictionVector(prediction=prediction,
label=label,
predictor=self)
def _execute(self, data):
result = RMM2Node._execute(self, data)
label = result.label
prediction = result.prediction + 1
if self.outer_boundary and \
prediction < (-1.0 * self.range + 1) * 0.5:
prediction = (-1.0 * self.range + 1) - prediction
if prediction > 0:
label = self.classes[1]
elif 0 >= prediction:
label = self.classes[0]
return PredictionVector(prediction=prediction,
label=label,
predictor=self)
