MEAN精品文章

• 

  代碼性能-php(二)

  ...ML transferred: 2752200 bytes Requests per second: 28.22 [#/sec] (mean) Time per request: 354.349 [ms] (mean) Time per request: 35.435 [ms] (mean, across all concurrent request...

  dance 2019-06-27 10:51 評(píng)論0 收藏0
• 

  Flask在Windows環(huán)境下的部署

  ...下的表現(xiàn) 使用tsung進(jìn)行壓測(cè)，壓力500： Name highest 10sec mean lowest 10sec mean Highest Rate Mean Rate Mean Count connect 34.30 msec 31.91 msec 506 / sec 356.60 / sec 33.19 msec 103908 page ...

  ermaoL 2019-07-31 10:02 評(píng)論0 收藏0
• 

  Flask在Windows環(huán)境下的部署

  ...下的表現(xiàn) 使用tsung進(jìn)行壓測(cè)，壓力500： Name highest 10sec mean lowest 10sec mean Highest Rate Mean Rate Mean Count connect 34.30 msec 31.91 msec 506 / sec 356.60 / sec 33.19 msec 103908 page ...

  魏憲會(huì) 2019-07-25 14:37 評(píng)論0 收藏0
• 

  各開源框架使用與設(shè)計(jì)總結(jié)（三）

  ...ML transferred: 109000 bytes Requests per second: 200.78 [#/sec] (mean) Time per request: 99.612 [ms] (mean) Time per request: 4.981 [ms] (mean, across all concurrent requests)...

  objc94 2019-06-27 10:46 評(píng)論0 收藏0
• 

  MEAN.js 文檔

  本文同步至個(gè)人博客 MEAN.js 文檔，轉(zhuǎn)載請(qǐng)注明出處。 Overview 感謝使用 MEAN.js 框架！ 本文檔涵蓋構(gòu)建 MEAN 應(yīng)用所需的基礎(chǔ)知識(shí)。 在你開始閱讀該文檔之前,我們建議您閱讀 MEAN.js 所使用的技術(shù)棧： MongoDB 請(qǐng)至 MongoDB 官網(wǎng)獲取 Mon...

  Hydrogen 2019-06-26 17:37 評(píng)論0 收藏0
• 

  PHP框架性能不權(quán)威對(duì)比

  ...L transferred: 110000 bytes Requests per second: 2224.73 [#/sec] (mean) Time per request: 44.949 [ms] (mean) Time per request: 0.449 [ms] (mean, across all concurrent requests)...

  Channe 2019-06-27 16:48 評(píng)論0 收藏0
• 

  使用機(jī)器學(xué)習(xí)識(shí)別出拍賣場(chǎng)中作弊的機(jī)器人用戶(二)

  ... 6609.000000 6609.000000 6609.000000 6609.000000 mean 0.002724 0.205629 0.054774 0.001059 0.048570 0.023907 0.000303 0.0363...

  YanceyOfficial 2019-07-25 11:45 評(píng)論0 收藏0
• 

  Swoole 同步模式與協(xié)程模式的對(duì)比

  ...L transferred: 1010000 bytes Requests per second: 838.65 [#/sec] (mean) Time per request: 119.239 [ms] (mean) Time per request: 1.192 [ms] (mean, across all concurrent requests...

  WilsonLiu95 2019-07-01 12:30 評(píng)論0 收藏0
• 

  python格式Caffe圖片數(shù)據(jù)信息均值測(cè)算學(xué)習(xí)培訓(xùn)

  ...binaryproto,創(chuàng)作者給我們提供一個(gè)測(cè)算均值文件compute_image_mean.cpp，放到caffe目錄下的tools文件夾里邊?！　【幾g程序后可操作體放到build/tools/下邊，大家立即啟用就行了

  89542767 2022-12-24 16:03 評(píng)論0 收藏0
• 

  2017 非標(biāo)準(zhǔn) PHP 框架性能測(cè)試比較

  ...HTML transferred: 2000 bytes Requests per second: 303.46 [#/sec] (mean) Time per request: 329.538 [ms] (mean) Time per request: 3.295 [ms] (mean, across all concurrent requests...

  aikin 2019-07-01 12:25 評(píng)論0 收藏0
• 

  Mean Stack新手導(dǎo)航?

  我是如何用MEAN棧來(lái)搭建一個(gè)簡(jiǎn)單的App的 最近在學(xué)習(xí)MEAN棧開發(fā)，但google來(lái)的教程又太分散，有講express的， restful接口的，angular-resource設(shè)計(jì)的，就是沒(méi)有一整套mean下來(lái)的。而成熟的框架如meteor、meanio、meanjs又不太適合新手?。 ...

  omgdog 2019-08-22 10:45 評(píng)論0 收藏0
• 

  XGboost數(shù)據(jù)比賽實(shí)戰(zhàn)之調(diào)參篇(完整流程)

  ... Done 25 out of 25 | elapsed: 1.5min finished 每輪迭代運(yùn)行結(jié)果:[mean: 0.94051, std: 0.01244, params: {n_estimators: 400}, mean: 0.94057, std: 0.01244, params: {n_estimators: 500}, mean: 0.94061, std: 0....

  cppprimer 2019-08-16 11:10 評(píng)論0 收藏0
• 

  XGboost數(shù)據(jù)比賽實(shí)戰(zhàn)之調(diào)參篇(完整流程)

  ... Done 25 out of 25 | elapsed: 1.5min finished 每輪迭代運(yùn)行結(jié)果:[mean: 0.94051, std: 0.01244, params: {n_estimators: 400}, mean: 0.94057, std: 0.01244, params: {n_estimators: 500}, mean: 0.94061, std: 0....

  draveness 2019-08-02 10:02 評(píng)論0 收藏0
• 

  XGboost數(shù)據(jù)比賽實(shí)戰(zhàn)之調(diào)參篇(完整流程)

  ... Done 25 out of 25 | elapsed: 1.5min finished 每輪迭代運(yùn)行結(jié)果:[mean: 0.94051, std: 0.01244, params: {n_estimators: 400}, mean: 0.94057, std: 0.01244, params: {n_estimators: 500}, mean: 0.94061, std: 0....

  wuaiqiu 2019-07-31 11:07 評(píng)論0 收藏0