| """Information Retrieval metrics | |
| Useful Resources: | |
| http://www.cs.utexas.edu/~mooney/ir-course/slides/Evaluation.ppt | |
| http://www.nii.ac.jp/TechReports/05-014E.pdf | |
| http://www.stanford.edu/class/cs276/handouts/EvaluationNew-handout-6-per.pdf | |
| http://hal.archives-ouvertes.fr/docs/00/72/67/60/PDF/07-busa-fekete.pdf | |
| Learning to Rank for Information Retrieval (Tie-Yan Liu) | |
| """ | |
| import numpy as np |
54.249.173.214）にrootでログイン[root@ip-10-132-164-105 ~]# setenforce 0
| 日時: | 2024-04-11 |
|---|---|
| 作: | 時雨堂 |
| バージョン: | 2024.4 |
| URL: | https://shiguredo.jp/ |
時雨堂クラウドサービスを支える技術
There are a lot of ways to serve a Go HTTP application. The best choices depend on each use case. Currently nginx looks to be the standard web server for every new project even though there are other great web servers as well. However, how much is the overhead of serving a Go application behind an nginx server? Do we need some nginx features (vhosts, load balancing, cache, etc) or can you serve directly from Go? If you need nginx, what is the fastest connection mechanism? This are the kind of questions I'm intended to answer here. The purpose of this benchmark is not to tell that Go is faster or slower than nginx. That would be stupid.
So, these are the different settings we are going to compare:
| // ==UserScript== | |
| // @name Hipchat Room Sort by Alert | |
| // @include https://*.hipchat.com/chat | |
| // ==/UserScript== | |
| 'use strict'; | |
| function main() { | |
| console.log('# Hipchat Room Sort by Alert'); | |
| startAlertOserver(); |
| """ | |
| Create train, valid, test iterators for CIFAR-10 [1]. | |
| Easily extended to MNIST, CIFAR-100 and Imagenet. | |
| [1]: https://discuss.pytorch.org/t/feedback-on-pytorch-for-kaggle-competitions/2252/4 | |
| """ | |
| import torch | |
| import numpy as np |
