- R Deep Learning Cookbook
- Dr. PKS Prakash Achyutuni Sri Krishna Rao
- 98字
- 2021-07-02 20:49:11
Getting ready
The previous chapter provided the details for the installation of H2O in R along with a working example using its web interface. To start modeling, load the h20 package in the R environment:
require(h2o)
Then, initialize a single-node H2O instance using the h2o.init() function on eight cores and instantiate the corresponding client module on the IP address localhost and port number 54321:
localH2O = h2o.init(ip = "localhost", port = 54321, startH2O = TRUE,min_mem_size = "20G",nthreads = 8)
The H2O package has dependency on the Java JRE. Thus, it should be pre-installed before executing the initialization command.
推薦閱讀
- Spring Boot 2實戰之旅
- .NET之美：.NET關鍵技術深入解析
- 高手是如何做產品設計的（全2冊）
- Beginning Java Data Structures and Algorithms
- Cocos2d-x游戲開發：手把手教你Lua語言的編程方法
- PHP 7底層設計與源碼實現
- Android 7編程入門經典：使用Android Studio 2（第4版）
- Practical Windows Forensics
- 你必須知道的204個Visual C++開發問題
- Python 3破冰人工智能：從入門到實戰
- Mastering Python Networking
- 小程序，巧應用：微信小程序開發實戰（第2版）
- Apache Camel Developer's Cookbook
- 零基礎學Python編程（少兒趣味版）
- Python Machine Learning Blueprints：Intuitive data projects you can relate to