Converts a given word2vec model into an H2OFrame. The frame represents learned word embeddings
h2o.toFrame(word2vec)
Arguments
word2vec: A word2vec model.
Examples
## Not run:h2o.init()# Build a dummy word2vec modeldata <- as.character(as.h2o(c("a","b","a")))w2v_model <- h2o.word2vec(data, sent_sample_rate =0, min_word_freq =0, epochs =1, vec_size =2)# Transform words to vectors and return average vector for each sentenceh2o.toFrame(w2v_model)# -> Frame made of 2 rows and 2 columns## End(Not run)