import h2o
import pandas

h2o.init()
h2o.remove_all()

# dummy data
data = {'rand':[i for i in range(0,100)]}
test = pandas.DataFrame(data)

# Convert to h2o frame
hf = h2o.H2OFrame(test)

#split into training and validation
train,valid = hf.split_frame(ratios = [0.75])

# Only frames visible here are 1. hf and 2. splitter
h2o.frames()

# Call Train
train.head()

# After calling train, a third frame is now visible - which is the train frame itself, not just the splitter
h2o.frames()