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# source: /man/examples/setDataDescription.R
# Basic usage of setDataDescription().
# Note: we need to have a model to modify first.
# load our data.
X <- iris[,1:4]
y <- iris[,5]
# instantiate our model.
clf = HHDecisionTree(n_folds=1,
n_trees=1,
pruning=FALSE,
min_node_impurity=0.0)
# describe what dataset our model is using.
setDataDescription("IRIS Dataset")
# train our model.
vv <- clf$fit(X, y)
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