I have this chunk of code that predicts on a model and I feel that there is a way to write a for loop to shorten it. However, I am not too sure how to do so as I would have to create variables within the for loop. Would it be possible to shorten this code to a for loop:
#remainder1 through model
_remainder1FV, _remainder1Out, _remainder1OutID = _detector.get_fv(_deFV, _deMeta['_remainID1'])
_remainder1PredOut = _detector.classifer_prediction(_remainder1FV, _deMeta)
_remainder1Result = _detector.result_calculation(_remainder1Out, _remainder1PredOut, _deMeta, tag='_remainID1')
#remainder2 through model
_remainder2FV, _remainder2Out, _remainder2OutID = _detector.get_fv(_deFV, _deMeta['_remainID2'])
_remainder2PredOut = _detector.classifer_prediction(_remainder2FV, _deMeta)
_remainder2Result = _detector.result_calculation(_remainder2Out, _remainder2PredOut, _deMeta, tag='_remainID2')
#remainder3 through model
_remainder3FV, _remainder3Out, _remainder3OutID = _detector.get_fv(_deFV, _deMeta['_remainID3'])
_remainder3PredOut = _detector.classifer_prediction(_remainder3FV, _deMeta)
_remainder3Result = _detector.result_calculation(_remainder3Out, _remainder3PredOut, _deMeta, tag='_remainID3')
#remainder4 through model
_remainder4FV, _remainder4Out, _remainder4OutID = _detector.get_fv(_deFV, _deMeta['_remainID4'])
_remainder4PredOut = _detector.classifer_prediction(_remainder4FV, _deMeta)
_remainder4Result = _detector.result_calculation(_remainder4Out, _remainder4PredOut, _deMeta, tag='_remainID4')