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model
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SVM-multiclass Version V2.20
5 # number of classes
400 # number of base features
0 # loss function
0 # kernel type
3 # kernel parameter -d
1 # kernel parameter -g
1 # kernel parameter -s
1 # kernel parameter -r
empty# kernel parameter -u
2001 # highest feature index
46 # number of training documents
2 # number of support vectors plus 1
0 # threshold b, each following line is a SV (starting with alpha*y)
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