PassageParser¶
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class
tupa.parse.
PassageParser
(passage, *args, **kwargs)[source]¶ Bases:
tupa.parse.AbstractParser
Parser for a single passage, has a state and optionally an oracle
Attributes Summary
accuracy_str
num_tokens
Methods Summary
check_loop
()Check if the current state has already occurred, indicating a loop choose
(true[, axis, name])correct
(axis, label, pred, scores, true, …)evaluate
([mode])finish
(status[, display, write, accuracies])generate_descending
(scores)get_true_actions
()get_true_label
(node)init
()label_node
([action])parse
([display, write, accuracies])parse_internal
()Internal method to parse a single passage. predict
(scores, values[, is_valid])Choose action/label based on classifier Usually the best action/label is valid, so max is enough to choose it in O(n) time Otherwise, sorts all the other scores to choose the best valid one in O(n lg n) :return: valid action/label with maximum probability according to classifier verify
(guessed, ref)Compare predicted passage to true passage and raise an exception if they differ :param ref: true passage :param guessed: predicted passage to compare Attributes Documentation
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accuracy_str
¶
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num_tokens
¶
Methods Documentation
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parse_internal
()[source]¶ Internal method to parse a single passage. If training, use oracle to train on given passages. Otherwise just parse with classifier.
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static
predict
(scores, values, is_valid=None)[source]¶ Choose action/label based on classifier Usually the best action/label is valid, so max is enough to choose it in O(n) time Otherwise, sorts all the other scores to choose the best valid one in O(n lg n) :return: valid action/label with maximum probability according to classifier
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