The R code process is still hidden waiting for confirmation.
library(dplyr)
##
## Attaching package: 'dplyr'
## The following objects are masked from 'package:stats':
##
## filter, lag
## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, union
library(h2o)
##
## ----------------------------------------------------------------------
##
## Your next step is to start H2O:
## > h2o.init()
##
## For H2O package documentation, ask for help:
## > ??h2o
##
## After starting H2O, you can use the Web UI at http://localhost:54321
## For more information visit http://docs.h2o.ai
##
## ----------------------------------------------------------------------
##
## Attaching package: 'h2o'
## The following objects are masked from 'package:stats':
##
## cor, sd, var
## The following objects are masked from 'package:base':
##
## %*%, %in%, &&, ||, apply, as.factor, as.numeric, colnames,
## colnames<-, ifelse, is.character, is.factor, is.numeric, log,
## log10, log1p, log2, round, signif, trunc
h2o.init()
## Connection successful!
##
## R is connected to the H2O cluster:
## H2O cluster uptime: 1 hours 20 minutes
## H2O cluster timezone: Asia/Bangkok
## H2O data parsing timezone: UTC
## H2O cluster version: 3.30.0.1
## H2O cluster version age: 3 months and 29 days !!!
## H2O cluster name: H2O_started_from_R_Asus_ccp485
## H2O cluster total nodes: 1
## H2O cluster total memory: 0.70 GB
## H2O cluster total cores: 2
## H2O cluster allowed cores: 2
## H2O cluster healthy: TRUE
## H2O Connection ip: localhost
## H2O Connection port: 54321
## H2O Connection proxy: NA
## H2O Internal Security: FALSE
## H2O API Extensions: Amazon S3, Algos, AutoML, Core V3, TargetEncoder, Core V4
## R Version: R version 3.5.0 (2018-04-23)
