Error using get for Naive Bayes
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Lester Lim
am 25 Jan. 2013
Kommentiert: Venkatesh Deo
am 15 Mär. 2017
Error using get Too many input arguments.
Error in NaiveBayesClassifier2 (line 82) get predicted output for test set
Code:
% NAIVE BAYES CLASSIFIER
clear
tic
disp('--- start ---')
distr='normal';
distr='kernel';
% read data
data = importdata('White_Wine.xlsx')%import the data
features=data.data.Sheet1(:,1:end-1); %split data without labels
lable=data.data.Sheet1(:,end);
X = features;%Take up to row 11
Y = lable;%Take row 12 which is the label
% Create a cvpartition aka cross validation
c = cvpartition(Y,'holdout',.2);
% Create a training set
x = X(training(c,1),:);
y = Y(training(c,1));
% test set
u=X(test(c,1),:);
v=Y(test(c,1),:);
yu=unique(y);%find the unique elements. The resulting vector yu is sorted in ascending order and its elements are of the same class as y.
nc=length(yu); % number of classes
ni=size(x,2); % independent variables
ns=length(v); % test set
% compute class probability
for i=1:nc
fy(i)=sum(double(y==yu(i)))/length(y);
end
switch distr
case 'normal'
% normal distribution
% parameters from training set
for i=1:nc
xi=x((y==yu(i)),:);
mu(i,:)=mean(xi,1);
sigma(i,:)=std(xi,1);
end
% probability for test set
for j=1:ns
fu=normcdf(ones(nc,1)*u(j,:),mu,sigma);
P(j,:)=fy.*prod(fu,2)';
end
case 'kernel'
% kernel distribution
% probability of test set estimated from training set
for i=1:nc
for k=1:ni
xi=x(y==yu(i),k);
ui=u(:,k);
%fuStruct(i,k).f = ksdensity(xi,ui);
end
end
% re-structure
for i=1:ns
for j=1:nc
for k=1:ni
%fu(j,k)=fuStruct(j,k).f(i);
end
end
%P(i,:)=fy.*prod(fu,2)';
end
otherwise
disp('invalid distribution stated')
return
end
get predicted output for test set
[pv0,id]=max(P,[],2);
for i=1:length(id)
pv(i,1)=yu(id(i));
end
% compare predicted output with actual output from test data
confMat=myconfusionmat(v,pv);
disp('confusion matrix:')
disp(confMat)
conf=sum(pv==v)/length(pv);
disp(['accuracy = ',num2str(conf*100),'%'])
toc
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Akzeptierte Antwort
the cyclist
am 25 Jan. 2013
Looks like you forget to put a comment character before the line:
>> get predicted output for test set
3 Kommentare
Venkatesh Deo
am 15 Mär. 2017
I have put a comment character but it is still not working. What other changes did you make? Can you please help me with those.
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