LibSVM
MODEL
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Support vector machine classifier |
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params
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CHAR
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1024
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''
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LOCK
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libsvm parameters (see documentation, overwrites options)
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svm
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INT
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1
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'0'
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LOCK
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SVM type (multi-class: 0=C-SVC 1=nu-SVC, regression: 3=epsilon-SVR 4=nu-SVR)
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kernel
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INT
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1
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'2'
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LOCK
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Kernel type ( 0=linear: u'*v, 1=polynomial: (gamma*u'*v + coef0)^degree), 2=radial basis function: exp(-gamma*|u-v|^2), 3=sigmoid: tanh(gamma*u'*v + coef0)
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degree
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INT
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1
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'3'
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LOCK
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degree
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gamma
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DOUBLE
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1
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'0.00000'
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LOCK
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gamma
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coef0
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DOUBLE
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1
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'0.00000'
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LOCK
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coef0
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nu
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DOUBLE
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1
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'0.50000'
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LOCK
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nu in nu-SVC
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C
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DOUBLE
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1
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'1.00000'
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LOCK
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cost in C-SVC
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eps
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DOUBLE
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1
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'0.00100'
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LOCK
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set tolerance of termination criterion
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p
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DOUBLE
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1
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'0.10000'
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LOCK
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epsilon in loss function of epsilon-SVR
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shrink
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INT
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1
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'1'
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LOCK
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whether to use the shrinking heuristics (0=false,1=true)
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srand
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UINT
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1
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'0'
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LOCK
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if >0 use fixed seed to initialize random number generator, otherwise timestamp will be used
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balance
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INT
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1
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'0'
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LOCK
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balance #samples per class (0=off, 1=remove surplus, 2=create missing)
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silent
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BOOL
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1
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'false'
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LOCK
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suppress libsvm messages
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