Should look something like this:
from revscoring.features import wikitext
from revscoring.datasources.meta import vectorizers
from revscoring.features.meta import aggregators
google_news_kvs = vectorizer.word2vec.load_kv("google_news.bin")
revision_text_vectors = vectorizer.word2vec(
wikitext.revision.datasources.words,
google_news_kvs,
name="revision.text.google_news_vectors")
mean_revision_text_vector = aggregators.mean(
revision_text_vectors,
vector=True, # We'll need to add this. I think all of our aggregators could work on vectors. Maybe it could auto detect that there's a vector involved.
name="revision.text.google_news_vector")