| Parameters: |
- label – The most likely label for tokens that reach
this node in the decision tree. If this decision tree
has no children, then this label will be assigned to
any token that reaches this decision tree.
- feature_name – The name of the feature that this
decision tree selects for.
- decisions – A dictionary mapping from feature values
for the feature identified by
feature_name to
child decision trees.
- default – The child that will be used if the value of
feature
feature_name does not match any of the keys in
decisions. This is used when constructing binary
decision trees.
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