Why am I getting empty matrix from svmpredict ??

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Sharda
Sharda 2015-5-18
I want to make predictions from a simple time series. The observations y=[11,22,33,44,55,66,77,88,99,110] at time x=[1,2,3,4,5,6,7,8,9,10]. I am using epsilon-SVR from libsvm toolbox.My code is as follows :
x1 = (1:7)'; % training set
y1 = [11, 22, 33, 44, 55, 66, 77]'; % observations from time series
options = ' -s 3 -t 2 -c 100 -g 0.05 -p 0.0003 ';
model = svmtrain(y1, x1, options)
x2 = (8:10)'; % test set
y2 = [88, 99, 110]'; % hidden values that are not used for training
[y2_predicted, accuracy] = svmpredict(y2, x2, model)
but the svmpredict function is giving me null output as shown below
y2_predicted =
[]
accuracy =
[]
Please help me resolve this .I am new to libsvm.

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