Why am I getting empty matrix from svmpredict ??

1 view (last 30 days)
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.

Answers (0)

Categories

Find more on Statistics and Machine Learning Toolbox in Help Center and File Exchange

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!