def save_kata ():
pps.savek()
# def prediksi_SVM_list_nopps(x):
# # new_x = list()
# # #print("Praproses ->")
# # for ix, i in enumerate(x):
# # new_x.append(pps.praposes(i))
# # if ix%100==0 and ix != 0:
# # print(ix, end=" ")
# # else:
# # print(".", end="")
# print("|")
# print("<<Masuk Proses Prediksi>>")
# hasil_prediksi_list = SVM.predict(tfidf.transform(x).toarray())
# dixt = {
# "prediksi":list(hasil_prediksi_list),
# "komentar":x
# }
# return pd.DataFrame.from_dict(dixt)
# def prediksi_cnb_single(x):
# return cnb.predict(tfidf_cnb.transform([pps.praposes(x)]).toarray())[0]
# def prediksi_cnb_list(x):
# new_x = list()
# #print("Praproses ->")
# for ix, i in enumerate(x):
# new_x.append(pps.praposes(i))
# if ix%100==0 and ix != 0:
# print(ix, end=" ")
# else:
# print(".", end="")
# print("|")
# print("<<Masuk Proses Prediksi>>")
# hasil_prediksi_list = cnb.predict(tfidf.transform(new_x).toarray())
# dixt = {
# "prediksi":list(hasil_prediksi_list),
# "komentar":new_x
# }
# return pd.DataFrame.from_dict(dixt)
# def prediksi2_single(x):
# return SVM2.predict(tfidf2.transform([pps.praposes(x)]).toarray())[0]
# def prediksi2_list(x):
# new_x = list()
# #print("Praproses ->")
# for ix, i in enumerate(x):
# new_x.append(pps.praposes(i))
# if ix%100==0 and ix != 0:
# print(ix, end=" ")
# else:
# print(".", end="")
# print("|")
# print("<<Masuk Proses Prediksi>>")
# hasil_prediksi_list = SVM2.predict(tfidf2.transform(new_x).toarray())
# dixt = {
# "prediksi":list(hasil_prediksi_list),
# "komentar":new_x
# }
# return pd.DataFrame.from_dict(dixt)
def save_kata():
pps.savek()