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fixed bug

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This commit is contained in:
Davis King 2013-06-06 20:40:57 -04:00
parent c588d9409c
commit 802e5205e4
1 changed files with 6 additions and 2 deletions
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8
python_examples/sequence_segmenter.py
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@ -158,9 +158,13 @@ model = dlib.train_sequence_segmenter(training_sequences, segments, params)
for i in range(len(sentences)):
print_segment(sentences[i], model.segment_sequence(training_sequences[i]))
# Lets also try segmenting a new sentence. This will print out "Bob Bucket"
# Lets also try segmenting a new sentence. This will print out "Bob Bucket". Note that we
# need to remember to use the same vector representation as we used during training.
test_sentence = "There once was a man from Nantucket whose name rhymed with Bob Bucket"
print_segment(test_sentence, model.segment_sequence(sentence_to_vectors(test_sentence)))
if use_sparse_vects:
print_segment(test_sentence, model.segment_sequence(sentence_to_sparse_vectors(test_sentence)))
else:
print_segment(test_sentence, model.segment_sequence(sentence_to_vectors(test_sentence)))
# We can also measure the accuracy of a model relative to some labeled data. This
# statement prints the precision, recall, and F1-score of the model relative to the data in