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一种基于局部密度比权重设置模型的加权支持向量回归模型来单步求解多分类问题：该方法先分别对类样本中每类样本利用局部密度比权重设置模型求出每个样本的权重隶属因子,然后运用加权lib支持向量回归算法对所有样

This allows user to use relative weights for different examples (adjust C_i)

Usage: svm-train -W 1 heart.wgt.10

Note that the result should be similar to (numerically the same as)

svm-train heart.10

Currently supporting C_SVC (default) and EPSILON_SVR (-s 3)

The python interface is also modified. See svm_w_usage.py for details