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GA_GUI.m
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GA_GUI.m
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function varargout = GA_GUI(varargin)
% GA_GUI M-file for GA_GUI.fig
% GA_GUI, by itself, creates a new GA_GUI or raises the existing
% singleton*.
%
% H = GA_GUI returns the handle to a new GA_GUI or the handle to
% the existing singleton*.
%
% GA_GUI('CALLBACK',hObject,eventData,handles,...) calls the local
% function named CALLBACK in GA_GUI.M with the given input arguments.
%
% GA_GUI('Property','Value',...) creates a new GA_GUI or raises the
% existing singleton*. Starting from the left, property value pairs are
% applied to the GUI before GA_GUI_OpeningFunction gets called. An
% unrecognized property name or invalid value makes property application
% stop. All inputs are passed to GA_GUI_OpeningFcn via varargin.
%
% *See GUI Options on GUIDE's Tools menu. Choose "GUI allows only one
% instance to run (singleton)".
%
% See also: GUIDE, GUIDATA, GUIHANDLES
% Edit the above text to modify the response to help GA_GUI
% Last Modified by GUIDE v2.5 02-Dec-2011 14:56:40
% Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct('gui_Name', mfilename, ...
'gui_Singleton', gui_Singleton, ...
'gui_OpeningFcn', @GA_GUI_OpeningFcn, ...
'gui_OutputFcn', @GA_GUI_OutputFcn, ...
'gui_LayoutFcn', [] , ...
'gui_Callback', []);
if nargin && ischar(varargin{1})
gui_State.gui_Callback = str2func(varargin{1});
end
if nargout
[varargout{1:nargout}] = gui_mainfcn(gui_State, varargin{:});
else
gui_mainfcn(gui_State, varargin{:});
end
% End initialization code - DO NOT EDIT
% --- Executes just before GA_GUI is made visible.
function GA_GUI_OpeningFcn(hObject, eventdata, handles, varargin)
% This function has no output args, see OutputFcn.
% hObject handle to figure
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% varargin command line arguments to GA_GUI (see VARARGIN)
% Choose default command line output for GA_GUI
handles.output = hObject;
set(handles.pushbutton4,'UserData',false); % Initialize this paramter for user stop request
% Update toolboxes path
addpath('./stats'); % ensure stats is in the path
%%Scan files and find specific functions
files = dir;
statFiles = dir('./stats/private/');
Fplot = {}; Ffit = {}; Fxval = {} ; Fmating = {}; Fcost = {};
for f=1:length(files) %=== Loop through various functions
if regexp(files(f).name,'plot_.*.\S?') % there is a plot function
Fplot = [Fplot ; files(f).name(1:(end-2)) ];
end
if regexp(files(f).name,'fit_.*.m$') % there is a Fit function
Ffit = [Ffit ; files(f).name(1:(end-2)) ];
end
if regexp(files(f).name,'xval_.*\.m$') % there is a Cross-validation function
Fxval = [Fxval ; files(f).name(1:(end-2)) ];
end
if regexp(files(f).name,'crsov_.*\.m$') % there is a Mating function
Fmating = [Fmating ; files(f).name(1:(end-2)) ];
end
end
for f=1:length(statFiles) %=== Loop through stat functions
if regexp(statFiles(f).name,'stats_.*\.m$') % there is a Cost function
Fcost = [Fcost ; statFiles(f).name(1:(end-2)) ];
end
end
set(handles.popupmenu1,'String' , Fmating)
set(handles.popupmenu3,'String' , Fxval)
set(handles.popupmenu4,'String' , Ffit)
set(handles.popupmenu5,'String' , Fplot)
set(handles.popupmenu6,'String' , Fcost)
% Initialize GA parameters
handles.GA_options = ga_opt_set();
handles.GA_options.GUIflag = true;
% Update handles structure
guidata(hObject, handles);
% UIWAIT makes GA_GUI wait for user response (see UIRESUME)
% uiwait(handles.figure1);
% --- Outputs from this function are returned to the command line.
function varargout = GA_GUI_OutputFcn(hObject, eventdata, handles)
% varargout cell array for returning output args (see VARARGOUT);
% hObject handle to figure
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% Get default command line output from handles structure
varargout{1} = handles.output;
% --- Executes on button press in pushbutton1.
function pushbutton1_Callback(hObject, eventdata, handles)
% hObject handle to pushbutton1 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
handles.DataFile=[];
[handles.DataFile , handles.DataFilePath] = uigetfile({'*.mat','Matlab file';'*.xls','Excel File';'*.csv','CSV file'}, 'Please select your pre-formated database(s)','MultiSelect','on');
if iscell(handles.DataFile)~=1
handles.DataFile = { handles.DataFile} ;
end
if handles.DataFile{1}==0
handles.DataFile=[];
end
for f=1:length(handles.DataFile)
%% Get and process input data
if strcmp(handles.DataFile{f}((end-2):end),'mat')
% this is a MAT file
eval(['load ''' handles.DataFilePath handles.DataFile{f} ''';']);
elseif strcmp(handles.DataFile{f}((end-2):end),'csv')
% This is a CSV file
% TODO fill import function
warndlg('CSV file not supported yet, please use MAT file');
error('GA_GUI:Start','CSV file not supported yet, please use MAT file');
elseif strcmp(handles.DataFile{f}((end-2):end),'xls')
% This is a XLS file
% TODO fill import function
warndlg('XLS file not supported yet, please use MAT file');
error('GA_GUI:Start','XLS file not supported yet, please use MAT file');
else
errmsg = sprintf('Input file has undefined extension: %s. Should be .mat, .xls or .csv',handles.DataFile{f}((end-3):end));
error('GA_GUI:Start',errmsg);
end
% TODO look at outcome and check what kind of outcome this is:
% - linear
% - binary
% - multiclass
% handles.outcomeType =
% TODO: Add parsing to the input data to allow for variable field names
% Possible request input from user that data has been scanned
% properly
if exist('data','var') && exist('labels','var') && exist('outcome','var')
% Data integrity check
[data outcome labels] = data_integrity_check(data,outcome,labels);
elseif exist('X','var') && exist('labels','var') && exist('y','var')
[data outcome labels] = data_integrity_check(X,y,labels);
end
% Save data
handles.data{f} = data ;
handles.outcome{f} = outcome ;
handles.labels{f} = labels ;
end
% Update handles structure
guidata(hObject, handles);
% --- Executes on button press in pushbutton2.
function pushbutton2_Callback(hObject, eventdata, handles)
% hObject handle to pushbutton2 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
[handles.ExportFile , handles.ExportFilePath] = uigetfile({'*.xls','Excel File';'*.csv','CSV file'}, 'Please select your export File');
% TODO check file format integrity
set(handles.text2,'String', handles.ExportFile);
% Update handles structure
guidata(hObject, handles);
function edit1_Callback(hObject, eventdata, handles)
% hObject handle to edit1 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% Hints: get(hObject,'String') returns contents of edit1 as text
% str2double(get(hObject,'String')) returns contents of edit1 as a double
% --- Executes during object creation, after setting all properties.
function edit1_CreateFcn(hObject, eventdata, handles)
% hObject handle to edit1 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles empty - handles not created until after all CreateFcns called
% Hint: edit controls usually have a white background on Windows.
% See ISPC and COMPUTER.
if ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))
set(hObject,'BackgroundColor','white');
end
function edit2_Callback(hObject, eventdata, handles)
% hObject handle to edit2 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% Hints: get(hObject,'String') returns contents of edit2 as text
% str2double(get(hObject,'String')) returns contents of edit2 as a double
% --- Executes during object creation, after setting all properties.
function edit2_CreateFcn(hObject, eventdata, handles)
% hObject handle to edit2 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles empty - handles not created until after all CreateFcns called
% Hint: edit controls usually have a white background on Windows.
% See ISPC and COMPUTER.
if ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))
set(hObject,'BackgroundColor','white');
end
function MaxFeatures_Callback(hObject, eventdata, handles)
% hObject handle to MaxFeatures (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% Hints: get(hObject,'String') returns contents of MaxFeatures as text
% str2double(get(hObject,'String')) returns contents of MaxFeatures as a double
% --- Executes during object creation, after setting all properties.
function MaxFeatures_CreateFcn(hObject, eventdata, handles)
% hObject handle to MaxFeatures (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles empty - handles not created until after all CreateFcns called
% Hint: edit controls usually have a white background on Windows.
% See ISPC and COMPUTER.
if ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))
set(hObject,'BackgroundColor','white');
end
function edit4_Callback(hObject, eventdata, handles)
% hObject handle to edit4 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% Hints: get(hObject,'String') returns contents of edit4 as text
% str2double(get(hObject,'String')) returns contents of edit4 as a double
% --- Executes during object creation, after setting all properties.
function edit4_CreateFcn(hObject, eventdata, handles)
% hObject handle to edit4 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles empty - handles not created until after all CreateFcns called
% Hint: edit controls usually have a white background on Windows.
% See ISPC and COMPUTER.
if ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))
set(hObject,'BackgroundColor','white');
end
function edit5_Callback(hObject, eventdata, handles)
% hObject handle to edit5 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% Hints: get(hObject,'String') returns contents of edit5 as text
% str2double(get(hObject,'String')) returns contents of edit5 as a double
% --- Executes during object creation, after setting all properties.
function edit5_CreateFcn(hObject, eventdata, handles)
% hObject handle to edit5 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles empty - handles not created until after all CreateFcns called
% Hint: edit controls usually have a white background on Windows.
% See ISPC and COMPUTER.
if ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))
set(hObject,'BackgroundColor','white');
end
% --- Executes on selection change in popupmenu1.
function popupmenu1_Callback(hObject, eventdata, handles)
% hObject handle to popupmenu1 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% Hints: contents = get(hObject,'String') returns popupmenu1 contents as cell array
% contents{get(hObject,'Value')} returns selected item from popupmenu1
% --- Executes during object creation, after setting all properties.
function popupmenu1_CreateFcn(hObject, eventdata, handles)
% hObject handle to popupmenu1 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles empty - handles not created until after all CreateFcns called
% Hint: popupmenu controls usually have a white background on Windows.
% See ISPC and COMPUTER.
if ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))
set(hObject,'BackgroundColor','white');
end
function edit6_Callback(hObject, eventdata, handles)
% hObject handle to edit6 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% Hints: get(hObject,'String') returns contents of edit6 as text
% str2double(get(hObject,'String')) returns contents of edit6 as a double
% --- Executes during object creation, after setting all properties.
function edit6_CreateFcn(hObject, eventdata, handles)
% hObject handle to edit6 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles empty - handles not created until after all CreateFcns called
% Hint: edit controls usually have a white background on Windows.
% See ISPC and COMPUTER.
if ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))
set(hObject,'BackgroundColor','white');
end
% --- Executes on selection change in popupmenu3.
function popupmenu3_Callback(hObject, eventdata, handles)
% hObject handle to popupmenu3 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% Hints: contents = get(hObject,'String') returns popupmenu3 contents as cell array
% contents{get(hObject,'Value')} returns selected item from popupmenu3
% --- Executes during object creation, after setting all properties.
function popupmenu3_CreateFcn(hObject, eventdata, handles)
% hObject handle to popupmenu3 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles empty - handles not created until after all CreateFcns called
% Hint: popupmenu controls usually have a white background on Windows.
% See ISPC and COMPUTER.
if ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))
set(hObject,'BackgroundColor','white');
end
% --- Executes on selection change in popupmenu4.
function popupmenu4_Callback(hObject, eventdata, handles)
% hObject handle to popupmenu4 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% Hints: contents = get(hObject,'String') returns popupmenu4 contents as cell array
% contents{get(hObject,'Value')} returns selected item from popupmenu4
% --- Executes during object creation, after setting all properties.
function popupmenu4_CreateFcn(hObject, eventdata, handles)
% hObject handle to popupmenu4 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles empty - handles not created until after all CreateFcns called
% Hint: popupmenu controls usually have a white background on Windows.
% See ISPC and COMPUTER.
if ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))
set(hObject,'BackgroundColor','white');
end
% --- Executes on slider movement.
function slider1_Callback(hObject, eventdata, handles)
% hObject handle to slider1 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% Hints: get(hObject,'Value') returns position of slider
% get(hObject,'Min') and get(hObject,'Max') to determine range of slider
% --- Executes during object creation, after setting all properties.
function slider1_CreateFcn(hObject, eventdata, handles)
% hObject handle to slider1 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles empty - handles not created until after all CreateFcns called
% Hint: slider controls usually have a light gray background.
if isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))
set(hObject,'BackgroundColor',[.9 .9 .9]);
end
% --- Executes on button press in pushbutton3.
function pushbutton3_Callback(hObject, eventdata, handles)
% hObject handle to pushbutton3 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
%% GET input parameters
fitFs = get(handles.popupmenu4,'String')
fitFIdx = get(handles.popupmenu4,'Value')
matingFs = get(handles.popupmenu1,'String')
matingFIdx = get(handles.popupmenu1,'Value')
xvalFs = get(handles.popupmenu3,'String')
xvalFIdx = get(handles.popupmenu3,'Value')
plotFs = get(handles.popupmenu5,'String')
plotFIdx = get(handles.popupmenu5,'Value')
costFs = get(handles.popupmenu6,'String')
costFIdx = get(handles.popupmenu6,'Value')
options = ga_opt_set('Display','plot',...
'MinFeatures', str2double( get(handles.MinFeatures,'String') ), ...
'MaxFeatures', str2double( get(handles.MaxFeatures,'String') ), ...
'MaxIterations',str2double( get(handles.edit2,'String') ),...
'ConfoundingFactors', str2double(regexp(get(handles.edit4,'String'),',','split')), ...
'Repetitions' , str2double( get(handles.edit1,'String') ), ...
'FitnessFcn', fitFs{fitFIdx}, ...
'CrossoverFcn',matingFs{matingFIdx}, ...
'CostFcn',costFs{costFIdx}, ...
'MutationRate',str2double( get(handles.edit6,'String') ), ...
'PlotFcn',plotFs{plotFIdx}, ...
'Parallelize',get(handles.checkbox2,'Value'),...
'Elitism', get(handles.slider1,'Value'),...
'CrossValidationFcn',xvalFs{xvalFIdx},...
'PopulationEvolutionAxe',handles.axes1,...
'FitFunctionEvolutionAxe',handles.axes2,...
'CurrentPopulationAxe',handles.axes4,...
'CurrentScoreAxe',handles.axes3,...
'PopulationSize',str2double( get(handles.edit5,'String') ),...
'GUIFlag',true,...
'OptDir', get(handles.checkbox3,'Value'),...
'ErrorGradient',0.00001,... % If zero, then ignore
'MinimizeFeatures',false,...
'FileName','SimulationOutput.csv',...
'InitialFeatureNum',0, ...
'NumFeatures',0 ... % Default to 0 - will be updated later
);
if isfield(handles,'ExportFile')
%TODO: (WARNING) This scenario doesn't seem to actually update the the
%options but to replace them only.
% options = ga_opt_set(options , 'FileName', [handles.ExportFilePath handles.ExportFile])
end
% Check input data
if ~isfield(handles, {'data','labels','outcome'})
errordlg('The datafile is not loaded, please select a database and try again');
error('GA_GUI:Start','No data to process')
end
% Load matlabpool
% If you want to use parallel threats
if ~isempty(options.Parallelize) && options.Parallelize==1 && matlabpool('size')<=0
matlabpool 6;
end
tic;
%%% START ALGO GEN
display('RUNNING!!!')
h=gcf;
% min or maximize cost
if options.OptDir==1
sort_str='descend';
else
sort_str='ascend';
end
% Set up flags for output content
switch options.OutputContent
case 'normal'
ocDetailedFlag = false;
ocDebugFlag = false;
case 'detailed'
ocDetailedFlag = true;
ocDebugFlag = false;
case 'debug'
ocDetailedFlag = false;
ocDebugFlag = true;
end
% parallelize?
if options.Parallelize==1
evalFcn=@evaluate_par;
else
evalFcn=@evaluate;
end
% for each data file
for f=1:length(handles.data)
% display file name
set(handles.text1,'String',handles.DataFile{f});
% Rename variables
DATA= handles.data{f} ;
%=== Reset options field
options = ga_opt_set(options,'NumFeatures',size(DATA,2));
%% Initialisation
verbose=true; % Set true to view time evaluations
[DATA, outcome] = errChkInput(DATA, handles.outcome{f} , options);
options.InitialFeatureNum = round(sum(outcome)/20);
% Initialize outputs
out = initialize_output(options) ;
repTime=0;
tries = 0;
while tries <= options.Repetitions && ~get(handles.pushbutton4,'UserData')
tries = tries + 1;
%% Initialise GA
parent = initialize_pop(options);
[data,target,idxData] = initialize_pop(DATA,outcome,options);
% Check if early-stop criterion is met
% if not: continue
ite = 0 ; early_stop = false ;
iteTime=0;
% Calculate indices from crossvalidation
% Determine cross validation indices
xvalFcn=options.CrossValidationFcn;
[ train, test, KI ] = feval(xvalFcn,target,options);
while ite < options.MaxIterations && ~early_stop && ~get(handles.pushbutton4,'UserData')
tic;
ite = ite + 1;
out.CurrentIteration=ite;
if ite>(options.ErrorIterations+1) % Enough iterations have passed to estimate early stop
win = out.Test.EvolutionBestCost((ite-(options.ErrorIterations+1)):(ite-1));
if abs(max(win) - min(win)) < options.ErrorGradient && options.ErrorGradient ~=0
early_stop = true ;
end
end
%% Evaluate parents are create new generation
[testCost,trainCost] = feval(evalFcn,data,target,parent,options, train, test, KI);
% TODO:
% Change eval function to return:
% model, outputs with predictions+indices, statistics
%=== Sort genome
[testCost idxTestSort] = sort(testCost,sort_str);
trainCost = trainCost(idxTestSort,:);
parent = parent(idxTestSort,:);
%% FINAL VALIDATION
% If tracking best genome statistics is desirable during run-time,
% this section will have to recalculate the genome fitness, etc.
% Since FS is one individual, no need to parallelize (i.e. use
% evaluate function)
FS = parent(1,:)==1;
[out.Test.EvolutionBestCost(ite,tries),...
out.Training.EvolutionBestCost(ite,tries),...
miscOutputContent ] ...
= evaluate_final(data,target,FS,options,train, test, KI );
% Note: FS is 1 individual - do not need to parallelize
out.Training.EvolutionMedianCost(ite,tries) = nanmedian(trainCost);
out.Test.EvolutionMedianCost(ite,tries) = nanmedian(testCost);
%% Save and display results
%%-------------------------+
out.BestGenomePlot{1,tries}(ite,:)=FS;
if ocDetailedFlag
%=== Detailed output
out.EvolutionGenomeStats{ite,tries} = miscOutputContent.TestStats;
elseif ocDebugFlag
%=== Debug output
out.EvolutionGenomeStats{ite,tries} = miscOutputContent.TestStats;
out.Genome{1,tries}(:,:,ite) = parent; % Save current genome
out.Training.EvolutionCost(ite,tries,:) = trainCost;
out.Training.EvolutionBestStats{ite,tries} = miscOutputContent.TrainStats;
out.Test.EvolutionCost(ite,tries,:) = testCost;
out.Test.EvolutionBestStats{ite,tries} = miscOutputContent.TestStats;
else
%=== Normal output
end
%=== Plot results
if strcmpi(options.Display,'plot')
out.EvolutionGenomeStats{ite,tries} = miscOutputContent.TestStats;
[ out ] = plot_All( out, parent, h, options );
end
%=== Calculate new genome
parent = new_generation(parent,testCost,sort_str,options);
iteTime=iteTime+toc;
repTime=repTime+toc;
if verbose % Time elapsed reports
if tries>1
expectedTime = mean(out.RepetitionTime(1:tries-1)) / (tries-1);
else
expectedTime = iteTime * options.MaxIterations / ite;
end
expectedTime = (expectedTime * options.Repetitions - repTime)/60/60;
fprintf('Iteration %d of %d. Iteration Time: %2.2fs. Time Elapsed: %2.2fs. Projected: %2.2fh. \n',...
ite,options.MaxIterations, ...
toc, ... % Time in iteration
repTime, ... % Total time spent so far
expectedTime);
end
out.CurrentIteration=out.CurrentIteration+1;
end
% TODO: Add error checks if target = -1,1 instead of target = 0,1
out.BestGenome{tries} = parent(1,:)==1;
out.IterationTime(1,tries)=iteTime/options.MaxIterations;
out.RepetitionTime(1,tries)=repTime/tries;
out.BestGenomeStats{1,tries} = miscOutputContent.TestStats;
% If the final iteration is less than the maximum, then we should
% remove the extra pre-allocated genomes
if size(out.BestGenomePlot{1,tries},1)>ite
out.BestGenomePlot{1,tries}(ite+1:end,:)=[];
end
%=== Save results
if ocDetailedFlag || ocDebugFlag
%=== Outputs for both detailed and debug
out.Model{1,tries} = miscOutputContent.model;
%=== Indices
idxTraining = idxData;
idxTraining(idxData) = miscOutputContent.TrainIndex;
idxTest = idxData;
idxTest(idxData) = miscOutputContent.TestIndex;
out.Training.Indices{1,tries} = idxTraining;
out.Test.Indices{1,tries} = idxTest;
end
if ocDetailedFlag
%=== Detailed output
out.Training.BestGenomeStats{1,tries} = miscOutputContent.TrainStats;
out.Test.BestGenomeStats{1,tries} = miscOutputContent.TestStats;
elseif ocDebugFlag
%=== Debug output
% If the final iteration is less than the maximum, then we should
% remove the extra pre-allocated genomes
if size(out.Genome{1,tries},3)>ite
out.Genome{1,tries}(:,:,ite+1:end) = []; % Delete empties
end
else
%=== Normal output
end
out.CurrentRepetition=out.CurrentRepetition+1;
end
FileName = [handles.DataFile{f}(1:(end-4)) '_GA_results_' datestr(now, 'mmddyy-HHMM') '.csv'];
if get(handles.pushbutton4,'UserData') % then this was stopped on user's demand
display('Algorithm STOPPED!');
set(handles.pushbutton4,'UserData',false); % reset
FileName = [ '.earlystopped_' FileName ];
out.BestGenome((tries+1):end) = [];
else % The algorithm ended normally
% then we keep the same file format
end
set(handles.text2,'String',FileName);
FileName = [ handles.DataFilePath FileName];
% Save results
export_results( FileName , out , handles.labels{f} , options );
end
guidata(hObject, handles);
% --- Executes on selection change in popupmenu5.
function popupmenu5_Callback(hObject, eventdata, handles)
% hObject handle to popupmenu5 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% Hints: contents = get(hObject,'String') returns popupmenu5 contents as cell array
% contents{get(hObject,'Value')} returns selected item from popupmenu5
% --- Executes during object creation, after setting all properties.
function popupmenu5_CreateFcn(hObject, eventdata, handles)
% hObject handle to popupmenu5 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles empty - handles not created until after all CreateFcns called
% Hint: popupmenu controls usually have a white background on Windows.
% See ISPC and COMPUTER.
if ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))
set(hObject,'BackgroundColor','white');
end
% --- Executes on button press in checkbox2.
function checkbox2_Callback(hObject, eventdata, handles)
% hObject handle to checkbox2 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% Hint: get(hObject,'Value') returns toggle state of checkbox2
% --- Executes on selection change in popupmenu6.
function popupmenu6_Callback(hObject, eventdata, handles)
% hObject handle to popupmenu6 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% Hints: contents = cellstr(get(hObject,'String')) returns popupmenu6 contents as cell array
% contents{get(hObject,'Value')} returns selected item from popupmenu6
% --- Executes during object creation, after setting all properties.
function popupmenu6_CreateFcn(hObject, eventdata, handles)
% hObject handle to popupmenu6 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles empty - handles not created until after all CreateFcns called
% Hint: popupmenu controls usually have a white background on Windows.
% See ISPC and COMPUTER.
if ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))
set(hObject,'BackgroundColor','white');
end
function MinFeatures_Callback(hObject, eventdata, handles)
% hObject handle to MinFeatures (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% Hints: get(hObject,'String') returns contents of MinFeatures as text
% str2double(get(hObject,'String')) returns contents of MinFeatures as a double
% --- Executes during object creation, after setting all properties.
function MinFeatures_CreateFcn(hObject, eventdata, handles)
% hObject handle to MinFeatures (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles empty - handles not created until after all CreateFcns called
% Hint: edit controls usually have a white background on Windows.
% See ISPC and COMPUTER.
if ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))
set(hObject,'BackgroundColor','white');
end
% --- Executes on button press in checkbox3.
function checkbox3_Callback(hObject, eventdata, handles)
% hObject handle to checkbox3 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% Hint: get(hObject,'Value') returns toggle state of checkbox3
% --- Executes on button press in pushbutton4.
function pushbutton4_Callback(hObject, eventdata, handles)
% hObject handle to pushbutton4 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
display('Manual algortihm break recorded !');
set(handles.pushbutton4,'UserData',true);
guidata(hObject, handles);