- 授权协议: 未知
- 开发语言: Google Go
- 操作系统: 跨平台
- 软件首页: https://github.com/linkxzhou/go_bench
- 软件文档: https://github.com/linkxzhou/go_bench/blob/master/README.md
- 官方下载: https://github.com/linkxzhou/go_bench
软件介绍
go_bench 是一个可以向 Web 应用程序发送一些负载的小程序。
基本用法
./go_bench -n 1000 -c 10 -t 3000 -m GET http://127.0.0.1/hello This runs a benchmark for 1000 requests, keeping 10 HTTP connections open, and timeous is 3000ms Output: Request: [1000] http://www.baidu.com Summary: Total: 5.2124 secs Slowest: 0.3283 secs Fastest: 0.0195 secs Average: 0.0345 secs Requests/sec: 191.8491 Status code distribution: [200] 1000 responses Latency distribution: 10% in 0.0253 secs 25% in 0.0272 secs 50% in 0.0298 secs 75% in 0.0350 secs 90% in 0.0498 secs 95% in 0.0606 secs 99% in 0.0872 secs
选项
-n Number of requests to run. -c Number of requests to run concurrently. Total number of requests cannot be smaller than the concurency level. -q Rate limit, in seconds (QPS). -o Output type. If none provided, a summary is printed. "csv" is the only supported alternative. Dumps the response metrics in comma-seperated values format. -m HTTP method, one of GET, POST, PUT, DELETE, HEAD, OPTIONS. -H Custom HTTP header. You can specify as many as needed by repeating the flag. for example, -H "Accept: text/html" -H "Content-Type: application/xml" . -t Timeout in ms. -A HTTP Accept header. -d HTTP request body. -T Content-type, defaults to "text/html". -a Basic authentication, username:password. -x HTTP Proxy address as host:port. -h2 Make HTTP/2 requests. -disable-compression Disable compression. -disable-keepalive Disable keep-alive, prevents re-use of TCP connections between different HTTP requests. -cpus Number of used cpu cores. (default for current machine is 4 cores) -host HTTP Host header. -f Request url file, a launch request in the random selection file
机器学习算法原理与编程实践
郑捷 / 电子工业出版社 / 2015-11 / 88.00
本书是机器学习原理和算法编码实现的基础性读物,内容分为两大主线:单个算法的原理讲解和机器学习理论的发展变迁。算法除包含传统的分类、聚类、预测等常用算法之外,还新增了深度学习、贝叶斯网、隐马尔科夫模型等内容。对于每个算法,均包括提出问题、解决策略、数学推导、编码实现、结果评估几部分。数学推导力图做到由浅入深,深入浅出。结构上数学原理与程序代码一一对照,有助于降低学习门槛,加深公式的理解,起到推广和扩......一起来看看 《机器学习算法原理与编程实践》 这本书的介绍吧!
