# NOT RUN {
# source: /man/examples/print.R
# Basic usage of print().
# Note: we need to have a model first.
# load our data.
X <- iris[,1:4]
y <- iris[,5]
# instantiate our model.
clf = HHDecisionTree(n_folds=10,
n_trees=1,
pruning=FALSE,
min_node_impurity=0.0)
# describe what dataset our model is using.
setDataDescription("IRIS Dataset")
# train our model.
model_output <- clf$fit(X, y)
# print fold accuracy distribution from our training data.
print(model_output)
# }
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