Prepare data for modelling with h2o
In order to train models with h2o
, you need to prepare the data according to h2o's specific needs. Here, you will go over a common data preparation workflow in h2o
.
The h2o
library has already been loaded for you, as has the seeds_train_data
object.
This chapter uses functions that can take some time to run, so don't be surprised if it takes a little longer than usual to submit your answer. On rare occurrences, you may get a server error. If this is the case, just reload the page.
This exercise is part of the course
Hyperparameter Tuning in R
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Initialise h2o cluster
h2o.init()
# Convert data to h2o frame
seeds_train_data_hf <- ___(___)