目录离群检测 与 新奇检测Sklearn 中支持的方法孤立森林 IsolationForestLocal Outlier FactorOneClassSVMElliptic Envelope离群检测 与 新奇检测很多应用场景都需要能够确定样本是否属于与现有的分布，或者应该被视为不同的分布。离群检测（Outlier detectio

原理：检测url返回状态即可源码: 1 #!c:\\perl\\bin\\perl.exe 2 use warnings; 3 use strict; 4 use LWP::UserAgent; 5 $| = 1; 6 print "---------------------------------------------------------\n"; 7 print "|Webshell online check v1.0 |\n"; 8 pri

calcNSSscore.mfunction [ score ] = calcNSSscore( salMap, eyeMap )%calcNSSscore Calculate NSS score of a salmap% Usage: [score] = calcNSSscore ( salmap, eyemap )%% score : an array of score of each eye fixation% salmap: saliency map. will be

AUC_shuffled.mfunction [score,tp,fp] = AUC_shuffled(saliencyMap, fixationMap, otherMap, Nsplits, stepSize, toPlot)% saliencyMap is the saliency map% fixationMap is the human fixation map (binary matrix)% otherMap is a binary fixation map (l

a - try(as.Date('2017-02-30'),silent = T)当silent为F是，错误消息还是会返回怎么检测a是否出错呢：if('try-error' %in% class(a)){print('good job')}

root@ubuntu:~# vi check_ip.rbrequire 'rubygems'index = 1max = 20while (max-index) = 0puts indexname = %x(ip route | head -n 1| awk '{printf $5}')ips = %x(ip address | grep #{name} | awk '{print $2}').split("\n").map

修改于：2017.1.10我们实际过程中会遇到很多的问题，并且各式各样，特别是各种系统、工具版本升级后遇到的问题，最后的杀手锏就是彻底删干净，重装。一. 移除pod组件这条指令会告诉你Cocoapods组件装在哪里 :$ which pod/Users/galahad/.rvm/gems/ruby-2.2.2/