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

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Dhines
Dhines am 15 Feb. 2013
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 Kommentare
Walter Roberson
Walter Roberson am 15 Feb. 2013
Have you read the description of the output arguments in http://www.mathworks.com/help/bioinfo/ref/svmtrain.html ?
Dhines
Dhines am 15 Feb. 2013
Bearbeitet: Walter Roberson am 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 am 15 Feb. 2013
mip.Alpha is your vector of Alpha results.
  3 Kommentare
Dhines
Dhines am 18 Feb. 2013
how to read the values from mip.Alpha
Walter Roberson
Walter Roberson am 18 Feb. 2013
What were you hoping to get out of the svm training process?

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