rec-emb.py

b_id =list(ratings_df.book_id.unique())
b_id.remove(10000)
dict_map = {}
for i in b_id:
    dict_map[i] = books_df_copy.iloc[i]['title']
    
out_v = open('vecs.tsv', 'w')
out_m = open('meta.tsv', 'w')
for i in b_id:
    book = dict_map[i]
    embeddings = book_em_weights[i]
    out_m.write(book + "\n")
    out_v.write('\t'.join([str(x) for x in embeddings]) + "\n")
    
out_v.close()
out_m.close()