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_CON_FUN_MP_CLA.m
    path of file: ./repos/BRAPH-2/braph2/pipelines/connectivity-functional multiplex NN
    
    the code of the file until where you have to start completion: classdef NNDataPoint_CON_FUN_MP_CLA < NNDataPoint
	%NNDataPoint_CON_FUN_MP_CLA is a data point for classification with connectivity-functional multiplex data.
	% It is a subclass of <a href="matlab:help NNDataPoint">NNDataPoint</a>.
	%
	% A data point for classification with connectivity-functional multiplex data (NNDataPoint_CON_FUN_MP_CLA) 
	%  contains the input and target for neural network analysis with a subject 
	%  with connectivity-functional multiplex data (SubjectCON_FUN_MP).
	% The input is the connectivity-functional multiplex data of the subject.
	% The target is obtained from the variables of interest of the subject.
	%
	% The list of NNDataPoint_CON_FUN_MP_CLA 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 classification with connectivity-functional multiple
    
function prop_default = getPropDefault(pointer)
			%GETPROPDEFAULT returns the default value of a property.
			%
			% DEFAULT = NNDataPoint_CON_FUN_MP_CLA.GETPROPDEFAULT(PROP) returns the default 
			%  value of the property PROP.
			%
			% DEFAULT = NNDataPoint_CON_FUN_MP_CLA.GETPROPDEFAULT(TAG) returns the default 
			%  value of the property with tag TAG.
			%
			% Alternative forms to call this method are (POINTER = PROP or TAG):
			%  DEFAULT = DP.GETPROPDEFAULT(POINTER) returns the default value of POINTER of DP.
			%  DEFAULT = Element.GETPROPDEFAULT(NNDataPoint_CON_FUN_MP_CLA, POINTER) returns the default value of POINTER of NNDataPoint_CON_FUN_MP_CLA.
			%  DEFAULT = DP.GETPROPDEFAULT(NNDataPoint_CON_FUN_MP_CLA, POINTER) returns the default value of POINTER of NNDataPoint_CON_FUN_MP_CLA.
			%
			% Note that the Element.GETPROPDEFAULT(DP) and Element.GETPROPDEFAULT('NNDataPoint_CON_FUN_MP_CLA')
			%  are less computationally efficient.
			%
			% See also getPropDefaultConditioned, getPropProp, getPropTag, getPropSettings, 
			%  getPropCategory, getPropFormat, getPropDescription, checkProp.
			
			prop = NNDataPoint_CON_FUN_MP_CLA.getPropProp(pointer);
			
			switch prop %CET: Computational Efficiency Trick
				case 11 % NNDataPoint_CON_FUN_MP_CLA.SUB
					prop_default = Format.getFormatDefault(8, NNDataPoint_CON_FUN_MP_CLA.getPropSettings(prop));
				case 12 % NNDataPoint_CON_FUN_MP_CLA.TARGET_IDS
					prop_default = Format.getFormatDefault(3, NNDataPoint_CON_FUN_MP_CLA.getPropSettings(prop));
				case 1 % NNDataPoint_CON_FUN_MP_CLA.ELCLASS
					prop_default = 'NNDataPoint_CON_FUN_MP_CLA';
				case 2 % NNDataPoint_CON_FUN_MP_CLA.NAME
					prop_default = 'NNDataPoint_CON_FUN_MP_CLA';
				case 3 % NNDataPoint_CON_FUN_MP_CLA.DESCRIPTION
					prop_default = 'A data point for classification with connectivity-functional multiplex data (NNDataPoint_CON_FUN_MP_CLA) contains the input and target for neural network analysis with a subject with connectivity-functional multiplex data (SubjectCON_FUN_MP). The input is the connectivity-functional multiplex data of the subject. The target is obtained from the variables of interest of the subject.';
				case 4 % NNDataPoint_CON_FUN_MP_CLA.TEMPLATE
					prop_default = Format.getFormatDefault(8, NNDataPoint_CON_FUN_MP_CLA.getPropSettings(prop));
				case 5 % NNDataPoint_CON_FUN_MP_CLA.ID
					prop_default = 'NNDataPoint_CON_FUN_MP_CLA ID';
				case 6 % NNDataPoint_CON_FUN_MP_CLA.LABEL
					prop_default = 'NNDataPoint_CON_FUN_MP_CLA label';
				case 7 % NNDataPoint_CON_FUN_MP_CLA.NOTES
					prop_default = 'NNDataPoint_CON_FUN_MP_CLA notes';
				otherwise
					prop_default = getPropDefault@NNDataPoint(prop);
			end