MEAN

MEAN精品文章

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  代码性能-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 评论0 收藏0
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  Flask在Windows环境下的部署

  ...下的表现 使用tsung进行压测，压力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 评论0 收藏0
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  Flask在Windows环境下的部署

  ...下的表现 使用tsung进行压测，压力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 ...

  魏宪会 2019-07-25 14:37 评论0 收藏0
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  各开源框架使用与设计总结（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 评论0 收藏0
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  MEAN.js 文档

  本文同步至个人博客 MEAN.js 文档，转载请注明出处。 Overview 感谢使用 MEAN.js 框架！ 本文档涵盖构建 MEAN 应用所需的基础知识。 在你开始阅读该文档之前,我们建议您阅读 MEAN.js 所使用的技术栈： MongoDB 请至 MongoDB 官网获取 Mon...

  Hydrogen 2019-06-26 17:37 评论0 收藏0
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  PHP框架性能不权威对比

  ...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 评论0 收藏0
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  使用机器学习识别出拍卖场中作弊的机器人用户(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 评论0 收藏0
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  使用机器学习识别出拍卖场中作弊的机器人用户(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...

  3fuyu 2019-06-26 15:40 评论0 收藏0
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  Swoole 同步模式与协程模式的对比

  ...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 评论0 收藏0
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  python格式Caffe图片数据信息均值测算学习培训

  ...binaryproto,创作者给我们提供一个测算均值文件compute_image_mean.cpp，放到caffe目录下的tools文件夹里边。　　编译程序后可操作体放到build/tools/下边，大家立即启用就行了

  89542767 2022-12-24 16:03 评论0 收藏0
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  2017 非标准 PHP 框架性能测试比较

  ...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 评论0 收藏0
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  Mean Stack新手导航?

  我是如何用MEAN栈来搭建一个简单的App的 最近在学习MEAN栈开发，但google来的教程又太分散，有讲express的， restful接口的，angular-resource设计的，就是没有一整套mean下来的。而成熟的框架如meteor、meanio、meanjs又不太适合新手?。 ...

  omgdog 2019-08-22 10:45 评论0 收藏0
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  XGboost数据比赛实战之调参篇(完整流程)

  ... Done 25 out of 25 | elapsed: 1.5min finished 每轮迭代运行结果:[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 评论0 收藏0
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  XGboost数据比赛实战之调参篇(完整流程)

  ... Done 25 out of 25 | elapsed: 1.5min finished 每轮迭代运行结果:[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 评论0 收藏0
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  XGboost数据比赛实战之调参篇(完整流程)

  ... Done 25 out of 25 | elapsed: 1.5min finished 每轮迭代运行结果:[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 评论0 收藏0