import gzip
import gensim
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
from sklearn.preprocessing import LabelEncoder
from sklearn.linear_model import LogisticRegression
from gensim.models import Word2Vec

w2v = gensim.models.Word2Vec(vector_size=100)
w2v = Word2Vec.load("w2v.model")
#w2v.wv.save_word2vec_format('world.txt', binary=False)

#w2v.wv.load_word2vec_format('../../../ncexclude/nkjp+wiki-forms-all-100-cbow-hs.txt.gz', binary=False)

#print(w2v.wv.most_similar(['gol']))
print(w2v.wv.index_to_key)