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Added clarifying comments.

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Davis King 2013-06-11 22:18:59 -04:00
parent a2b6ed1600
commit 54d7150a0d
1 changed files with 4 additions and 2 deletions
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6
python_examples/sequence_segmenter.py
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@ -77,8 +77,8 @@ def print_segment(sentence, names):
# Now lets make some training data. Each example is a sentence as well as a set of ranges
# which indicate the locations of any names.
names = dlib.ranges()
segments = dlib.rangess()
names = dlib.ranges() # make an array of dlib.range objects.
segments = dlib.rangess() # make an array of arrays of dlib.range objects.
sentences = []
@ -126,10 +126,12 @@ names.clear()
# representation depending on our needs. In this example, we show how to do it both ways.
use_sparse_vects = False
if use_sparse_vects:
# Make an array of arrays of dlib.sparse_vector objects.
training_sequences = dlib.sparse_vectorss()
for s in sentences:
training_sequences.append(sentence_to_sparse_vectors(s))
else:
# Make an array of arrays of dlib.vector objects.
training_sequences = dlib.vectorss()
for s in sentences:
training_sequences.append(sentence_to_vectors(s))