sklearn-SVM

代码说明：

说明：  支持向量机(SVM)——分类预测，包括核函数调参，不平衡数据问题，特征降维，网格搜索，管道机制，学习曲线，混淆矩阵，AUC曲线等(Support vector machine (SVM) - classification prediction, including kernel function parameter adjustment, unbalanced data problem, feature dimensionality reduction, grid search, pipeline mechanism, learning curve, confusion matrix, AUC curve, etc)

文件列表：

README.md, 31 , 2017-10-23
image_demo.py, 510 , 2017-10-23
pipline_svm_gridsearch.py, 1274 , 2017-10-23
plot_custom_kernel.py, 1548 , 2017-10-23
plot_digits_classification.py, 2949 , 2017-10-23
plot_iris.py, 3485 , 2017-10-23
plot_multilabel.py, 4157 , 2017-10-23
plot_oneclass.py, 2338 , 2017-10-23
plot_rbf_parameters.py, 9933 , 2017-10-23
plot_separating_hyperplane.py, 1480 , 2017-10-23
plot_separating_hyperplane_unbalanced.py, 2023 , 2017-10-23
plot_svm_anova.py, 3128 , 2017-10-23
plot_svm_kernels.py, 1971 , 2017-10-23
plot_svm_margin.py, 2328 , 2017-10-23
plot_svm_nonlinear.py, 2205 , 2017-10-23
plot_svm_regression.py, 1537 , 2017-10-23
plot_svm_scale_c.py, 5516 , 2017-10-23
plot_weighted_samples.py, 2516 , 2017-10-23