The “h2o.importFile” Function in R

• Package: h2o

• Purpose: To import a file into H2O’s distributed key-value store.

• General Class: Data Import

• Required Argument(s):

• path: The path to the file to be imported.

• Notable Optional Arguments:

• destination_frame: Character. The name of the key to import the data into. If not specified, H2O will generate a key.

• parse: Logical. If TRUE, parse the data into an H2OFrame. The default is TRUE.

• header: Integer. Row number to use as column names. The default is -1, which means autodetect.

• sep: Character. The field separator character. The default is “ ”.

• col.types: List. A named list of types for columns. The default is NULL.

• na.strings: Character vector. A character vector of strings to interpret as missing values. The default is NULL.

• Example (with Explanation):

• # Load necessary package
  library(h2o)
  
  # Initialize H2O
  h2o.init()
  
  # Import a CSV file into H2O cluster
  data <- h2o.importFile(path = "data.csv")
  
  # Display a summary of the imported data
  summary(data)

• In this example, the h2o.importFile function from the h2o package is used to import a CSV file named “data.csv” into H2O’s distributed key-value store. By default, the function parses the data into an H2OFrame and autodetects column names. Once imported, the summary function is used to display a summary of the imported data. This function is commonly used to load large datasets into H2O for distributed data analysis and machine learning tasks in R.