Function sentence_to_vectors

python_examples/sequence_segmenter.py:43–54

(sentence)

# as a string and converts it into an array of words and then associates a
# feature vector with each word.
def sentence_to_vectors(sentence):
    # Create an empty array of vectors
    vects = dlib.vectors()
    for word in sentence.split():
        # Our vectors are very simple 1-dimensional vectors.  The value of the
        # single feature is 1 if the first letter of the word is capitalized and
        # 0 otherwise.
        if word[0].isupper():
            vects.append(dlib.vector([1]))
        else:
            vects.append(dlib.vector([0]))
    return vects


# Dlib also supports the use of a sparse vector representation.  This is more