Created
February 28, 2015 12:20
-
-
Save Emaasit/b3a47265f1b810e295e2 to your computer and use it in GitHub Desktop.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
## Download h2o from CRAN | |
## When downloading from CRAN, keep in mind that the initial | |
## download from CRAN contains only the R package | |
install.packages("h2o") | |
library(h2o) | |
localH2O <- h2o.init() | |
## To import small iris data file from H2O's package | |
irisPath = system.file("extdata", "iris.csv", package="h2o") | |
iris.hex = h2o.importFile(localH2O, path = irisPath, key = "iris.hex") | |
## To import an entire folder of files as one data object | |
pathToFolder = "/Users/PATH-TO-FOLDER/airlines/" | |
airlines.hex = h2o.importFile(localH2O, path = pathToFolder, key = "airlines.hex") | |
## To import from HDFS | |
pathToData = "hdfs://PATH-TO-FILE/airlines_all.csv" | |
airlines.hex = h2o.importFile(localH2O, path = pathToData, key = "airlines.hex") | |
## To run a GENERALIZED LINEAR MODEL | |
h2o.glm(y = "dependent_variable", x = c("independent_variable1","independent_variable2", | |
"independent_variable3","independent_variable4"), | |
data = dataset.hex, family = "binomial", nfolds = 10, alpha = 0.5) |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment