libsvm-weight-2.81
所属分类：人工智能/神经网络/深度学习
开发工具：Python
文件大小：41KB
下载次数：56
上传日期：2007-11-22 01:08:15
上 传 者：
wojiuhuola
说明： 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本进行训练,获得回归分类器,希望对大家有用!
(Based on local density than the right to re-set model of weighted support vector regression models to single-step to solve multi-classification problems: The method is first on the type of samples, respectively, for each type of samples the use of local density than the right to re-set the model to derive the right of each sample weight attached to factor, and then use lib weighted support vector regression algorithm for all samples for training, access to regression classifier, hope useful for all of us!)
文件列表:
libsvm-weight-2.81 (0, 2005-12-19)
libsvm-weight-2.81\COPYRIGHT (1749, 2005-12-15)
libsvm-weight-2.81\heart.10 (2208, 2005-12-13)
libsvm-weight-2.81\heart.wgt.10 (1047, 2005-12-13)
libsvm-weight-2.81\Makefile (417, 2005-12-13)
libsvm-weight-2.81\python (0, 2005-12-17)
libsvm-weight-2.81\python\Makefile (530, 2005-12-13)
libsvm-weight-2.81\python\svm.py (8244, 2005-12-13)
libsvm-weight-2.81\python\svmc.i (2775, 2005-12-13)
libsvm-weight-2.81\python\svmc.py (8595, 2005-12-13)
libsvm-weight-2.81\python\svmc_wrap.c (71368, 2005-12-13)
libsvm-weight-2.81\python\svm_w_usage.py (1017, 2005-12-15)
libsvm-weight-2.81\svm-predict.c (3815, 2005-12-13)
libsvm-weight-2.81\svm-scale.c (5963, 2005-12-13)
libsvm-weight-2.81\svm-train.c (7144, 2005-12-13)
libsvm-weight-2.81\svm.cpp (63403, 2005-12-15)
libsvm-weight-2.81\svm.h (2158, 2005-12-15)
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
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