Linux中Matlab保存多个数据到同一个文件当中

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% load pyrim % NumTrain = 50;   % load machine %NumTrain = 150;   % load housing % NumTrain = 300;   % load abalone % NumTrain = 1000;   % load bank32nh % NumTrain = 3000;   % load cpuact % NumTrain = 4000;   %  load calhousing % NumTrain = 5000;   %  load census % NumTrain = 6000;         load calhousing   path= '/root/orca-master0/orca-master/';   name='CaliforniaScaling';   NumTrainforScaling =  [100:100:900,1000:1000:10000] ;  for i = 1:length(NumTrainforScaling) NumTrain = NumTrainforScaling(i);   k=i; % for k = 1:10 n = size(X,1);  NumTest = n - NumTrain; % id = randperm(n); id = id0(k,:); traindata = X(id(1:NumTrain),:); targets = y(id(1:NumTrain)); TestData = X(id(NumTrain+1:n),:); TestTargets = y(id(NumTrain+1:n));   X1=[targets-1,traindata]; n0 = size(X1,2); X1 = sortrows(X1,1);   X2=[TestTargets-1,TestData];   % traindata = X1(:,1:end-1); % targets = X1(:,end);   % X1=[traindata,targets];   % fname1 = strcat('C:\Users\hd\Desktop\machine\mytask_train.',num2str(k-1)); % fname2 = strcat('C:\Users\hd\Desktop\machine\mytask_test.',num2str(k-1));   % fname1 = strcat('C:\Users\hd\Desktop\housing\mytask_train.',num2str(k-1)); % fname2 = strcat('C:\Users\hd\Desktop\housing\mytask_test.',num2str(k-1));   % fname1 = strcat('C:\Users\hd\Desktop\abalone\mytask_train.',num2str(k-1)); % fname2 = strcat('C:\Users\hd\Desktop\abalone\mytask_test.',num2str(k-1));   % fname1 = strcat('C:\Users\hd\Desktop\bank32nh\mytask_train.',num2str(k-1)); % fname2 = strcat('C:\Users\hd\Desktop\bank32nh\mytask_test.',num2str(k-1));   % fname1 = strcat('C:\Users\hd\Desktop\cpuact\mytask_train.',num2str(k-1)); % fname2 = strcat('C:\Users\hd\Desktop\cpuact\mytask_test.',num2str(k-1));   %  fname1 = strcat('C:\Users\hd\Desktop\calhousing\mytask_train.',num2str(k-1)); %  fname2 = strcat('C:\Users\hd\Desktop\calhousing\mytask_test.',num2str(k-1));    %  fname1 = strcat('C:\Users\hd\Desktop\census\mytask_train.',num2str(k-1)); %  fname2 = strcat('C:\Users\hd\Desktop\census\mytask_test.',num2str(k-1)); path =  '/root/nnrank1.2/data/'; fname1 = strcat(path,name,'/mytask_train.',num2str(k-1)); fname2 = strcat(path,name,'/mytask_test.',num2str(k-1)); fname3 = strcat(path,name,'/mytask_targets.',num2str(k-1));   %  fname1 = strcat('C:\Users\hd\Desktop\scalecalhousing\mytask_train.',num2str(k-1)); % libsvmwrite(fname1, targets, sparse(traindata));     % save(fname1,'X1','-ascii') % %save(fname2,'X2','-ascii') %  save(fname2,'TestData','-ascii') %  save(fname3,'TestTargets','-ascii')        TrainNNOP{1} = size(X1,2)-1;  TrainNNOP{2} = [5, 0:4];  TrainNNOP{3} = size(X1,1);  TrainNNOP{4} = X1;     TestNNOP{1} = size(X2,2)-1;  TestNNOP{2} = [5, 0:4];  TestNNOP{3} = size(X2,1);  TestNNOP{4} = X2;     for j = 1:4      dlmwrite(fname1,TrainNNOP{j},'delimiter', ' ','-append'); %      dlmwrite(fname2,TestNNOP{j},'delimiter', '\t');  end   % libsvmwrite(fname1, targets, sparse(traindata)); % libsvmwrite(fname2, TestTargets, sparse(TestData));   % end   end