f1ad6b643c926ae493f223c48fc6029137324a50,gensim/models/doc2vec.py,,infer_vector_dbow,#Any#Any#Any#Any#Any#,123

Before Change

    neg_labels = []
    if model.negative:
        // precompute negative labels
        neg_labels = zeros(model.negative + 1)
        neg_labels[0] = 1.0

    vector = model.seeded_vector(" ".join(document))
    sentence = next(model._prepare_sentences([LabeledSentence(document,[])]))[0]

After Change

    No cythonized alternative yet.
    
    if not hasattr(model, "neg_labels"):
        model.pretrain()

    vector = model.seeded_vector(" ".join(document))
    sentence = next(model._prepare_sentences([LabeledSentence(document, [])]))[0]

    for i in range(steps):

Instances