- 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
- 零基礎搭建量化投資系統:以Python為工具
- Hands-On Machine Learning with scikit:learn and Scientific Python Toolkits
- JavaScript 從入門到項目實踐(超值版)
- Building a Game with Unity and Blender
- JIRA 7 Administration Cookbook(Second Edition)
- Django Design Patterns and Best Practices
- Learning Python Design Patterns(Second Edition)
- Mastering Unity Shaders and Effects
- 深入淺出PostgreSQL
- Creating Mobile Apps with jQuery Mobile(Second Edition)
- Greenplum構建實時數據倉庫實踐
- 軟件測試技術
- 基于MATLAB的控制系統仿真及應用
- ASP.NET Core and Angular 2
- SQL Server 2008實用教程(第3版)