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 Commenti
Dhines
Dhines il 15 Feb 2013
Modificato: Walter Roberson il 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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Walter Roberson
Walter Roberson il 15 Feb 2013
mip.Alpha is your vector of Alpha results.
  3 Commenti
Dhines
Dhines il 18 Feb 2013
how to read the values from mip.Alpha
Walter Roberson
Walter Roberson il 18 Feb 2013
What were you hoping to get out of the svm training process?

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