Converts a given word2vec model into an H2OFrame. The frame represents learned word embeddings
h2o.toFrame(word2vec)
word2vec | A word2vec model. |
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# NOT RUN { h2o.init() # Build a dummy word2vec model data <- 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 sentence h2o.toFrame(w2v_model) # -> Frame made of 2 rows and 2 columns # }