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

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 comentarios

Walter Roberson
Walter Roberson el 15 de Feb. de 2013
How does this differ from what you expected ?
Dhines
Dhines el 15 de Feb. de 2013
in begining actually i dont know how to train the svmtrain function in matlab. i readed doc of svmtrain and gave as it is. i got this output. now want to know what this result coming to say?
Walter Roberson
Walter Roberson el 15 de Feb. de 2013
Have you read the description of the output arguments in http://www.mathworks.com/help/bioinfo/ref/svmtrain.html ?
Dhines
Dhines el 15 de Feb. de 2013
Editada: Walter Roberson el 15 de Feb. de 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?

Iniciar sesión para comentar.

 Respuesta aceptada

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

3 comentarios

Dhines
Dhines el 18 de Feb. de 2013
thank you its works.
Dhines
Dhines el 18 de Feb. de 2013
how to read the values from mip.Alpha
Walter Roberson
Walter Roberson el 18 de Feb. de 2013
What were you hoping to get out of the svm training process?

Iniciar sesión para comentar.

Más respuestas (0)

Categorías

Más información sobre MATLAB en Centro de ayuda y File Exchange.

Etiquetas

Community Treasure Hunt

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

Start Hunting!

Translated by