i got matlab result?.......any one explain this result?

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mlp = svmtrain(data,labels,'Kernel_Function','mlp','Method','SMO');
mlp =
SupportVectors: [40x2 double]
Alpha: [40x1 double]
Bias: 0.0404
KernelFunction: @mlp_kernel
KernelFunctionArgs: {}
GroupNames: [45x1 double]
SupportVectorIndices: [40x1 double]
ScaleData: [1x1 struct]
FigureHandles: []
  4 Comments
Dhines
Dhines on 15 Feb 2013
Edited: Walter Roberson on 15 Feb 2013
yes sir...well i write my algorithm here.
the Training examples:
x0 =[x1, x2 . . . xk . . .X_l ]^T,
Class labels: y = [y1, y2 . . . yk . . . y_l ]^T
Subset of surviving features: s= [1, 2 . . . n]
x = x0(:,s)
Train the classifier: α= SVM-train(x,y).
having some steps, i implement so far. for alpha i got matlab result as i shown before. please explain what its contains?

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Accepted Answer

Walter Roberson
Walter Roberson on 15 Feb 2013
mip.Alpha is your vector of Alpha results.

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