microsoft
/
acceleratoRs
зеркало из https://github.com/microsoft/acceleratoRs.git
1
0
Форкнуть 0
Код Задачи Пакеты Проекты Релизы Вики Активность

Updates README

This commit is contained in:
yueguoguo 2017-05-20 21:11:46 +09:00
Родитель 9f65a806ee
Коммит c74efce976
1 изменённых файлов: 2 добавлений и 0 удалений
Показать статистику Скачать Patch файл Скачать Diff файл Показать все файлы Свернуть все файлы

2
flightDelayPredictionWithDSVM/README.md
Просмотреть файл

@ -40,3 +40,5 @@ Detailed information for each of the machines is listed as follows.
|spark|Standard F16 - 16 cores and 32 GB memory|Linux|Standalone mode Spark for data preprocessing and feature engineering.|$0.796/hr| |spark|Standard F16 - 16 cores and 32 GB memory|Linux|Standalone mode Spark for data preprocessing and feature engineering.|$0.796/hr|
|deeplearning|Standard NC6 - 6 cores, 56 GB memory, and Tesla K80 GPU|Windows|Train deep neural network model with GPU acceleration.|$0.9/hr| |deeplearning|Standard NC6 - 6 cores, 56 GB memory, and Tesla K80 GPU|Windows|Train deep neural network model with GPU acceleration.|$0.9/hr|
|webserver|Standard D4 v2 - 8 cores and 28 GB memory|Linux|Deployed as a server where MRS service is published and run on.|$0.585/hr| |webserver|Standard D4 v2 - 8 cores and 28 GB memory|Linux|Deployed as a server where MRS service is published and run on.|$0.585/hr|
Data storage is used for temporarily preserving processed data, and it can also be seamlessly connected to DSVMs and administrated within R session by using AzureSMR package.