the underlying decision tree
a list of the feature indices followed by their names
Returns the most probable Transition according to .
Returns the most probable Transition according to .getDistribution(featureVector).
the feature vector to use to compute the distribution
the most probable Transition, given the argument feature vector
the underlying decision tree
a list of the feature indices followed by their names
Given the argument feature vector, this assigns a probability to a set of Transitions.
Given the argument feature vector, this assigns a probability to a set of Transitions.
the feature vector to use to compute the distribution
a probability distribution over Transitions
A DecisionTreeClassifier wraps the org.allenai.nlpstack.parse.poly.decisiontree implementation to provide a classifier interface that maps Transitions to probabilities.
the underlying decision tree
a list of the feature indices followed by their names