The “h2o.init” Function in R

• Package: h2o

• Purpose: To initialize an H2O cluster in R for distributed machine learning tasks.

• General Class: Cluster Initialization

• Required Argument(s):

• None

• Notable Optional Arguments:

• nthreads: Integer. The number of threads for the H2O cluster. Default is -1, which means to use all available cores.

• max_mem_size: Character. The maximum memory size for the H2O cluster, declared in the form “4g” indicating 4 gigabytes. The default is 25% of RAM.

• Example (with Explanation):

• # Load necessary package
  library(h2o)
  
  # Initialize an H2O cluster
  h2o.init()
  
  # Check the status of the H2O cluster
  h2o.clusterInfo()

• In this example, the h2o.init function from the h2o package is used to initialize an H2O cluster. This function automatically launches an H2O instance using all available cores with default memory settings. Once initialized, the h2o.clusterInfo function is used to check the status of the H2O cluster. This function is commonly used to set up an H2O cluster for distributed machine learning tasks in R.