也就是说你在使用
SVM OSU_3.00工具箱要在Matalab软件的界面下进行使用，可以实现SWM的数据分类和回归拟合功能
-In other words you are using SVM OSU_3.00 Toolbox Matalab software to use interface, you can realize SWM data classification and regression fitting function
SHOW FULL COLUMNS FROM `jrk_downrecords` [ RunTime:0.001250s ]
SELECT `a`.`aid`,`a`.`title`,`a`.`create_time`,`m`.`username` FROM `jrk_downrecords` `a` INNER JOIN `jrk_member` `m` ON `a`.`uid`=`m`.`id` WHERE `a`.`status` = 1 GROUP BY `a`.`aid` ORDER BY `a`.`create_time` DESC LIMIT 10 [ RunTime:0.089850s ]
SHOW FULL COLUMNS FROM `jrk_tagrecords` [ RunTime:0.001210s ]
SELECT * FROM `jrk_tagrecords` WHERE `status` = 1 ORDER BY `num` DESC LIMIT 20 [ RunTime:0.001883s ]
SHOW FULL COLUMNS FROM `jrk_member` [ RunTime:0.001202s ]
SELECT `id`,`username`,`userhead`,`usertime` FROM `jrk_member` WHERE `status` = 1 ORDER BY `usertime` DESC LIMIT 10 [ RunTime:0.003549s ]
SHOW FULL COLUMNS FROM `jrk_searchrecords` [ RunTime:0.001069s ]
SELECT * FROM `jrk_searchrecords` WHERE `status` = 1 ORDER BY `num` DESC LIMIT 5 [ RunTime:0.003285s ]
SELECT aid,title,count(aid) as c FROM `jrk_downrecords` GROUP BY `aid` ORDER BY `c` DESC LIMIT 10 [ RunTime:0.015044s ]
SHOW FULL COLUMNS FROM `jrk_articles` [ RunTime:0.001412s ]
UPDATE `jrk_articles` SET `hits` = 1 WHERE `id` = 175289 [ RunTime:0.001400s ]
