You are an expert in writing code in many different languages. Your goal is to perform code completion for the following code, keeping in mind the rest of the code and the file meta data.
    Metadata details:
    filename: NNDataPoint_Measure_REG.m
    path of file: ./repos/BRAPH-2/braph2/neuralnetworks
    
    the code of the file until where you have to start completion: classdef NNDataPoint_Measure_REG < NNDataPoint
	%NNDataPoint_Measure_REG is a data point for regression with graph measures.
	% It is a subclass of <a href="matlab:help NNDataPoint">NNDataPoint</a>.
	%
	% A data point for regression with graph measures (NNDataPoint_Measure_REG) 
	%  contains both input and target for neural network analysis.
	% The input is the value of the graph measures (e.g. Degree, DegreeAv, and Distance), 
	%  calculated from the derived graph of the subject.
	% The target is obtained from the variables of interest of the subject.
	%
	% The list of NNDataPoint_Measure_REG properties is:
	%  <strong>1</strong> <strong>ELCLASS</strong> 	ELCLASS (constant, string) is the class of the % % % .
	%  <strong>2</strong> <strong>NAME</strong> 	NAME (constant, string) is the name of a data point for regression with graph measures.
	%  <strong>3</strong> <strong>DESCRIPTION</strong> 	DESCRI
    
function prop_list = getProps(category)
			%GETPROPS returns the property list of measure regression data point.
			%
			% PROPS = NNDataPoint_Measure_REG.GETPROPS() returns the property list of measure regression data point
			%  as a row vector.
			%
			% PROPS = NNDataPoint_Measure_REG.GETPROPS(CATEGORY) returns the property list 
			%  of category CATEGORY.
			%
			% Alternative forms to call this method are:
			%  PROPS = DP.GETPROPS([CATEGORY]) returns the property list of the measure regression data point DP.
			%  PROPS = Element.GETPROPS(DP[, CATEGORY]) returns the property list of 'DP'.
			%  PROPS = Element.GETPROPS('NNDataPoint_Measure_REG'[, CATEGORY]) returns the property list of 'NNDataPoint_Measure_REG'.
			%
			% Note that the Element.GETPROPS(DP) and Element.GETPROPS('NNDataPoint_Measure_REG')
			%  are less computationally efficient.
			%
			% See also getPropNumber, Category.
			
			%CET: Computational Efficiency Trick
			
			if nargin == 0
				prop_list = [1 2 3 4 5 6 7 8 9 10 11 12 13 14];
				return
			end