估计阅读时长: 8 分钟https://github.com/rsharp-lang/R-sharp 对于0,1两类分类问题,一些分类器得到的结果往往不是0,1这样的标签。如神经网络得到诸如0.5,0.8这样的分类结果。这时,我们人为取一个阈值,比如0.4,那么小于0.4的归为0类,大于等于0.4的归为1类,可以得到一个分类结果。同样,这个阈值我们可以取0.1或0.2等等。 Order by Date Name Attachments ROC • 221 kB • 551 click 2021年6月28日Roccurves • […]
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WOW, display an image on a char only console this is really cool, I like this post because so much…
确实少有, 这么高质量的内容。谢谢作者。;-) 我很乐意阅读 你的这个技术博客网站。关于旅行者上的金唱片对外星朋友的美好愿望,和那个时代科技条件限制下人们做出的努力,激励人心。
我目前做的工作主要是发酵计算工具,可能和老师的需求有一些偏差
老师您好,您目前可以直接使用 iNAP 2.0方法 https://onlinelibrary.wiley.com/doi/full/10.1002/imt2.235
谢博,您好,我们课题组目前正在做环境微生物网络相关的课题,搜索github上发现了您最近做的微生物建模工具,请问有合作意向么