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Added clarifying comments.
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@ -77,8 +77,8 @@ def print_segment(sentence, names):
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# Now lets make some training data. Each example is a sentence as well as a set of ranges
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# which indicate the locations of any names.
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names = dlib.ranges()
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segments = dlib.rangess()
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names = dlib.ranges() # make an array of dlib.range objects.
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segments = dlib.rangess() # make an array of arrays of dlib.range objects.
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sentences = []
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@ -126,10 +126,12 @@ names.clear()
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# representation depending on our needs. In this example, we show how to do it both ways.
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use_sparse_vects = False
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if use_sparse_vects:
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# Make an array of arrays of dlib.sparse_vector objects.
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training_sequences = dlib.sparse_vectorss()
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for s in sentences:
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training_sequences.append(sentence_to_sparse_vectors(s))
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else:
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# Make an array of arrays of dlib.vector objects.
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training_sequences = dlib.vectorss()
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for s in sentences:
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training_sequences.append(sentence_to_vectors(s))
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