Error using fprintf Invalid file identifier. Use fopen to generate a valid file identifier.

Hello, I have a problem, every program I try to run gives me this error.What should I do?

mycode :

clc
clear
% Loading dataset
mine=xlsread('mine.xls');
addpath('tensor_toolbox','poblano_toolbox');
mine(:,16)=1392 - mine(:,16);
Target=mine(:,9);
mine(:,9) = [];
mine(isnan(Target) ,:) = [];
Target(isnan(Target)) = [];
mine(:,16)=[];
% impute by tensor
mine = num2cell(mine);
for i=1:size(mine,1)
    for j=1:size(mine,2)
        if isnan(mine{i,j})
            mine{i,j} =[];
        else
            mine{i,j} = mine{i,j} + 1;
        end
    end
end
dataMatrix=mine;
column14 = dataMatrix(:,14);
dataMatrix(:,14) = [];
bdeu = 2;
[bnet,ll,temp1,~] = structureEM(dataMatrix',bdeu,20,20,'EM',1);
clc
dataMatrix = temp1';
dataMatrix=cell2num(dataMatrix);
%%  Read and Prepare data
% dataMatrix(isnan(dataMatrix)) = 0;
R = 3;
Ptmp = zeros(size(dataMatrix));
Ptmp(dataMatrix ~= 0) = 1;
X = tensor(dataMatrix);
P = tensor(Ptmp);

%% Create initial guess using 'nvecs'
M_init = create_guess('Data', X, 'Num_Factors', R, ...
    'Factor_Generator', 'nvecs'); 

ncg_opts = ncg('defaults');
ncg_opts.StopTol = 1.0e-9;
ncg_opts.RelFuncTol = 1.0e-30; 
ncg_opts.MaxIters = 10^4;
ncg_opts.DisplayIters = 500;
ncg_opts;

[M,~,output] = cp_wopt(X, P, R, 'init', M_init, ...
    'alg', 'ncg', 'alg_options', ncg_opts);

exitflag = output.ExitFlag;

%% data imputed
dataMatrixImput = double(M);
dataMatrixImput(dataMatrix ~= 0) = dataMatrix(dataMatrix ~= 0);
mine=dataMatrixImput;

% set train and test
num_neighbors=4;
i=randperm(667);
Train=mine(i(1:570),:);
TargetTrain=Target(i(1:570));        
Test = mine(i(480:end),:);
TargetTest = Target(i(480:end));

 % Classification with KNN
knn_mdl = fitcknn(Train,TargetTrain);
knn_mdl.NumNeighbors = num_neighbors;
KNN_PredictedLabels=predict(knn_mdl,Test);
err=KNN_PredictedLabels-TargetTest;
AA=0;
for i=1:length(err)
if err(i)==0
    AA=AA+1;
end
end
disp((AA/length(err))*100);

answer :
var 1 ncats=5 cats=2  3  4  5
var 2 ncats=10 cats=2   3  10
var 3 ncats=10 cats=2   3  10
var 4 ncats=10 cats=2  10
var 5 ncats=10 cats=2  10
var 6 ncats=4 cats=2  3  4
var 7 ncats=5 cats=2  3  4  5
var 8 ncats=13 cats=2   3   5  10  13
var 9 ncats=4 cats=2  3  4
var 10 ncats=10 cats=2   3   4   5   6   7  10
var 11 ncats=6 cats=2  3  4  5  6
var 12 ncats=23 cats=1   2   3   4   5   6   7   8   9  10  11  12  13  14  15  16  17  18  19  20  21  22  23
var 13 ncats=31 cats=1   2   3   4   5   6   7   8   9  10  11  12  13  14  15  16  17  18  19  20  21  22  23  24  25  26  29  30  31
var 14 ncats=111 cats=29   34   35   36   37   38   39   40   41   42   43   44   45   46   47   48   49   50   51   52   53   54   55   56   57   58   59   60   61   62   63   64   65   66   67   68   69   70   71   72   73   74   75   76   77   78   79   80   81   82   83   84   86   87   89   90   91   93   95  101  111
     0     0     0     0     0     0     0     0     0     0     0     0     0     0
     0     0     0     0     0     0     0     0     0     0     0     0     0     0
     0     0     0     0     0     0     0     0     0     0     0     0     0     0
     0     0     0     0     0     0     0     0     0     0     0     0     0     0
     0     0     0     0     0     0     0     0     0     0     0     0     0     0
     0     0     0     0     0     0     0     0     0     0     0     0     0     0
     0     0     0     0     0     0     0     0     0     0     0     0     0     0
     0     0     0     0     0     0     0     0     0     0     0     0     0     0
     0     0     0     0     0     0     0     0     0     0     0     0     0     0
     0     0     0     0     0     0     0     0     0     0     0     0     0     0
     0     0     0     0     0     0     0     0     0     0     0     0     0     0
     0     0     0     0     0     0     0     0     0     0     0     0     0     0
     0     0     0     0     0     0     0     0     0     0     0     0     0     0
     0     0     0     0     0     0     0     0     0     0     0     0     0     0
     1     2     3     4     5     6     7     8     9    10    11    12    13    14
call hill-climbing SL method
building options file: /tmp/tp1b66ff2d_7a21_41cf_90f5_371c7d516528
Error using fprintf
Invalid file identifier. Use fopen to generate a valid file identifier.
Error in write_options_structurelearning (line 41)
                  case 'inputfile',     fprintf(fd,'inputfile=%s\n',args{i+1});
Error in call_structurelearning (line 252)
    write_options_structurelearning(optname,...
Error in structureEM (line 165)
            [bnet,bb,topsort] =
            call_structurelearning(0,[],datCompleted,[],allowmat,-1,16000,verb,6,-1,-1,bdeu,maxpar);
            Error in Tensor1_on_knn (line 27)
[bnet,ll,temp1,~] = structureEM(dataMatrix',bdeu,20,20,'EM',1); 
>> 

[dpb]

We don't have whatever package it is that you're trying to run, starting with structureEM and all the routines it calls to see.

Probably the problem is you don't have write access to the directory that is trying to be used by the output routine...

[Mohammad baba]

Thank you. How should this problem be solved?

[Walter Roberson]

Is this related to https://github.com/cassiopc/csda-dataimputation ?

[Image Analyst]

Contact the publisher of your third party software toolbox. Nothing in your code calls fopen() or fprintf() so we have no idea how it's coming up with a file name of "/tmp/tp1b66ff2d_7a21_41cf_90f5_371c7d516528" that it's trying to write to. But the creator of your software should know.

[Mohammad baba]

walter-roberson

yes

[Mohammad baba]

image-analyst

Thanks for your help. I emailed the person who posted this toolbox on the GitHub site and I'm looking forward to hearing from you.