In reality, we often encounter multi-classification learning tasks. Some two-classification learning methods can be directly extended to multi-classification, but in more cases, we use two-classification learners to solve multi-classification problems based on some basic strategies. Therefore, the fundamental method of multi-classification problem is still the two-classification problem.
It can be used to divide namespaces and reduce the number of global variables.
一位猎头公司的女性主管才刚结束一段惨不忍睹的关系，完全不打算立即投入另一段关系。 因此她与客户变好友的男性友人达成协议，彼此做为对方的床伴，而若任何一方开始发展出情愫，该关系必须立即被终止。一开始这样的安排似乎让双方都非常满意，但随着时间的发展，两人发现已经爱上对方，因此也必须重新评估这样的关系。
MDT team members can share their learning and practical experiences through meetings or networks, learn together and make common progress.
Use Dockerfile above to build mirrored version v7:
在张家平反、张杨起复、白虎将军即将进京的时候。
这时，本该1岁的儿子起床了，但怎么看都已经4岁了。
When I first encountered this kind of "dog", The company commander glanced at it and said nothing, Immediately ordered us to fire, Shooting from high terrain has its advantages, We shot exactly from almost 100 meters away, After aiming at it, Hit to a distance of 30 meters but did not kill a few such 'dogs', At last I saw that these things were about to rush up, There was a sudden explosion in front of the position, The explosion was a temporary obstruction to them, We didn't remember until the bombing was over. Fortunately, some Type 66 directional anti-infantry mines were deployed 30 meters in front of the positions before. As well as some Type 72 anti-infantry mines, Although those "dogs" run fast, But because of his short body, So they are all 'sticking to the land', Triggered the guide line of the mine, Then it led to an explosion. Anti-infantry mines have almost no dead corners within the effective attack range, especially the "round head" type (72-type anti-infantry mines, which contain 650 anti-personnel steel balls and have no dead corners covered 360 degrees after the explosion). Many close 'dogs' were directly blown to pieces, while those far away were also beaten into 'pockmarks' by steel balls and died lying there.
多年以前的北京城曾经流传着一个悠久而神秘的传说：1900年八国联军攻打北京时，慈禧太后在仓皇西逃前夕曾将紫禁城里的八大马车金银珠宝坚壁在宫外太监暗宅的一口古井里。日后由于战乱不断、运动不断，人们对于这个传说的的记忆逐渐淡忘。爷就调屁股的倒霉蛋王一斗日夜为“金条烫手”的美梦所困惑，坐卧不宁。 东屋王一斗家与西屋枝子妈家住对门，虽是儿女亲家，可对门成了对头，亲家成了冤家。原因是枝子妈至今攥着户口簿，不让枝子和满囤办理结婚手续，王家人将因此而丢掉一套本可到手的安置房。
Originally, I played on the battlefield for a long time. Who hasn't smelled the blood? Who hasn't seen red brains, piles of intestines, broken arms and legs? Arguably, I should have adapted to this taste long ago. But that was different, It was blood, but it was very, very strong, so strong that those of us who used to smell it could not adapt to it. When I first smelled it, I was surprised. I felt that this smell was by no means emitted by human corpses. Later, I realized that this smell was emitted by the following something similar to the previous dog-like and non-dog-like things. " Zhao Mingkai paused here and probably wrinkled his nose instinctively, as if he had smelled the unforgettable and unpleasant smell of that year.
那么就需要一些更强大的罪名，把这层薄面彻底撕掉。
一个响雷炸在周行文耳边。
徐文长闻言不忿道：公子的意思是，我答题的时候都是在骂皇上？先生肯定没这么耿直。
蒯彻微微闭着的眼睛突然睁开，看着韩信说道：元帅，由此可见，刘邦要么是防着你，要么就是已经察觉到了什么，否则何必派出郦食其游说齐国呢。
皇牌公关香广男被誉为城中盛女救星，常以出位手段帮助单身女性客户找到美满姻缘，自己却独善其身，选择短线恋爱，新上班的客户主任盛花蕾，误会广男及其大哥香善男和同事董天骄、毕奋强合称的supersenior组合喜爱夜蒲寻欢，又见广男为追求下属袁萱将她捧为网络歌手，因而不耻广男的所作所为，直斥他是烂滚港男，籍工作亲近女性。身为袁萱的姑姐袁琛同样对广男恨之入骨，经常在自己的专栏恶意抨击广男，但广男对这一切都不以为意，依旧我行我素，直至前女友突然现身，令各人关系出现戏剧性逆转，引爆前所未有的港男剩女大激战
只是一个很平凡的壶绘师学徒，而且是「草食系阿宅」。
某日，聂冰遇到一个奇怪的天使（黄渤 饰），天使送给她一辆神奇的汽车，只要每次转弯时打着左灯向右行，她就会碰到一个不同类型的男子，一共12个类型！这样的遭遇不可谓不奇特，心怀疑惑的聂冰开始与白马王子候选人们一一邂逅。滔滔不绝的保险推销员（古巨基 饰）、自恋无比的选秀狂人（苏有朋 饰）、独断自大的律师（陆毅 饰）、忧郁内向的艺术家（黄磊 饰）……这些男人虽各有各的优点，却又各有其乖张之处。他们令聂冰难以忍受，几近崩溃……
Weapons
A short voice said, "My ship is turning right";
Form: Buffet
